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  • Concentric Ring Tattoo Electrodes for Biosignal Recordings
  • A POCT to Rapid Detect GBS with Highly Sensitivity
  • Breast Cancer Detection Using Smart Wearable Devices with Thermal Sensors
  • Biodegradable Biodevices: A Design Approach Based on Cellular Automaton
  • Machine Learning-Based Smart-Textile for COVID-19 Monitoring
  • Real-Time Stand-Up Evaluation Using Low-Cost Hardware
  • Sustainable Printed Electrodes for Energy Harvesting from Urine to Power IoT Sensor Nodes in Smart Diapers
  • Can Electromyography Alone Reveal Facial Action Units? A Pilot EMG-Based Action Unit Recognition Study with Real-Time Validation
  • Bioinspired Design and Manufacturing Strategies for next Generation Medical Implants: Trends and Challenges
  • DKCDF: Dual-Kernel CNN with Dual Feature Fusion for Lung Cancer Detection
  • Dynamic Characteristic of the Pleural Cavity Pressure Sensor
  • RehabVisual: Adapting and Testing the Visuomotor Skills Stimulation Platform on Patients with Multiple Sclerosis
  • Development of an Affordable EMC Immunity Assessment Setup Using Direct Power Injection for Biosignals Instrumentation: Application to ECG Monitoring
  • Incorporating an Intelligent System Based on a Quantum Algorithm into Predictive Analysis for Screening COVID-19 Patients
  • Cardiorespiratory Adaptations to Work Volume on an Automobile Assembly Line
  • Overall Additive Manufacturing of Capacitive Sensors Integrated into Textiles: A Preliminary Analysis on Contact Pressure Estimation
  • Development of a Machine Learning Based in-Home Physical Activity Monitoring System Using Wrist Actigraphy and Real-Time Location System
  • Additive Manufacturing of Nitinol for Smart Personalized Medical Devices: Current Capabilities and Challenges
  • Numerical Modelling and Simulation of a Lab-on-a-Chip for Blood Cells’ Optical Analysis
  • Experimental Flow Studies in PDMS Intracranial Aneurysms Manufactured by Two Different Techniques
  • Visualizing, Analyzing and Constructing L-System from Arborized 3D Model Using a Web Application
  • Magnification Invariant Medical Image Analysis: A Comparison of Convolutional Networks, Vision Transformers, and Token Mixers
  • 3D Nuclei Segmentation by Combining GAN Based Image Synthesis and Existing 3D Manual Annotations
  • Open Platform for the De-identification of Burned-in Texts in Medical Images using Deep Learning
  • Characterization and Quantification of Image Quality in CT Imaging Systems: A Phantom Study
  • Mutually Exclusive Multi-Modal Approach for Parkinson’s Disease Classification
  • Few-Shot Histopathology Image Classification: Evaluating State-of-the-Art Methods and Unveiling Performance Insights
  • Performance Review of Retraining and Transfer Learning of DeLTA2 for Image Segmentation for Pseudomonas Fluorescens SBW25
  • Unsupervised Domain Adaptation for Medical Images with an Improved Combination of Losses
  • Automated Classification of Phonetic Segments in Child Speech Using Raw Ultrasound Imaging
  • Bone-Aware Generative Adversarial Network with Supervised Attention Mechanism for MRI-Based Pseudo-CT Synthesis
  • Influence of Arterial Occlusion at Various Cuff Pressures on Systemic Circulation Measured by rPPG
  • Combining Datasets with Different Label Sets for Improved Nucleus Segmentation and Classification
  • Semantic Textual Similarity Assessment in Chest X-ray Reports Using a Domain-Specific Cosine-Based Metric
  • Agent Simulation Using Path Telemetry for Modeling COVID-19 Workplace Hazard and Risk
  • Identification of Bistability in Enzymatic Reaction Networks Using Hysteresis Response
  • USTAR2: Fast and Succinct Representation of k-mer Sets Using De Bruijn Graphs
  • Compositional Techniques for Asynchronous Boolean Networks
  • Deep Learning in Breast Calcifications Classification: Analysis of Cross-Database Knowledge Transferability
  • Modeling iPSC-Derived Endothelial Cell Transition in Tumor Angiogenesis Using Petri Nets
  • Evaluating the Performance of Protein Structure Prediction in Detecting Structural Changes of Pathogenic Nonsynonymous Single Nucleotide Variants
  • Detecting Retinal Fundus Image Synthesis by Means of Generative Adversarial Network
  • Neural Population Decoding and Imbalanced Multi-Omic Datasets for Cancer Subtype Diagnosis
  • Predictive Biomarkers in PD-1/PD-L1 Immunotherapy Response: A Machine Learning Approach Using Gene Sequencing Data
  • Assembling Close Strains in Metagenome Assemblies Using Discrete Optimization
  • Ki67 Expression Classification from HE Images with Semi-Automated Computer-Generated Annotations
  • Computational Modeling of Arterial Walls: Evaluating Model Complexity and the Influence of Model Parameters on Deformation Outcomes
  • Fine-Tuning of Conditional Transformers Improves the Generation of Functionally Characterized Proteins
  • Particle and Cell Cluster Separation Based on Inertial Effects in Rectangular Serpentine Channels
  • Biologically-Informed Shallow Classification Learning Integrating Pathway Knowledge
  • The Interactive Network Visualization of the Interactions Between Topologically Associating Domains in the Genome of Fruit Fly
  • Deep Learning in Digital Breast Pathology
  • Formal Analysis of Uncertain Continuous Markov Chains in Systems Biology
  • SMT: A High-Performance Approach for Counting Kmers
  • Investigation of Artifact Contamination Impact on EEG Oscillations Towards Enhanced Motor Function Characterization
  • Classification of Fine-ADL Using sEMG Signals Under Different Measurement Conditions
  • A Hierarchical Framework for Apnea Detection and Respiration Pace Assessment Using Seismocardiogram Signals
  • Predicting the Level of Co-Activation of One Muscle Head from the Other Muscle Head of the Biceps Brachii Muscle by Linear Regression and Shallow Feedforward Neural Networks
  • Characterization of sEMG Spectral Properties During Lower Limb Muscle Activation
  • Fusion of Machine Learning and Threshold-Based Approaches for Fall Detection in Healthcare Using Inertial Sensors
  • Centrality of the Fingerprint Core Location
  • Mapping Seismocardiogram Characteristics to Hemorrhage Status and Vascular Pressure: A Novel Approach for Triage Assessment
  • Prediction of Oxygen Saturation from Graphene Respiratory Signals with PPG Trained DNN
  • Evaluation of Gel and Dry Electrodes for EEG Measurement to Compare Their Suitability for Multimodal Workload Detection in Humans
  • An Insight Into Neurodegeneration: Harnessing Functional MRI Connectivity in the Diagnosis of Mild Cognitive Impairment
  • Preliminary Results on the Evaluation of Different Feedback Methods for the Operation of a Muscle-Controlled Serious Game
  • A Comparison of Recurrent and Convolutional Deep Learning Architectures for EEG Seizure Forecasting
  • Improved PID Control Based on Temperature Compensation for the Incubation Plate of Chemiluminescent Immunoassay Analyzer
  • Modelling Physiological Sensor Noise to Movement-Based Virtual Reality Activities
  • Gait Parameter Estimation from a Single Privacy Preserving Depth Sensor
  • Associating Endpoint Accuracy and Similarity of Muscle Synergies
  • Integrated Driver Pose Estimation for Autonomous Driving
  • Assessing Emotion-Induced Variations of Event-Related Potentials and Heart Rate During Affective Picture Processing
  • Contactless Camera-Based Detection of Oxygen Desaturation Events and ODI Estimation During Sleep in SAS Patients
  • Cramer-Rao Bound for Dipole Source Localization in Infants Using Realistic Geometry
  • Performance Comparison of Gyrocardiogram and Seismocardiogram Signals in Valvular Heart Disease Assessment
  • A New Algorithm for Innervation Zone Estimation Using Surface Electromyography: A Simulation Study Based on a Simulator for Continuous sEMGs
  • A Word Recognition Paradigm Through EEG Analysis: Imagined Speech Classification
  • Estimating Skull Thickness of Neonates Using Magnetic Resonance Imaging
  • ResNet-101 Empowered Deep Learning for Breast Cancer Ultrasound Image Classification
  • Comfort Assessment Method of EEG-Based Exoskeleton Walking-Assistive Device
  • Wavelet Based Feature Extraction for Multi-Model Ensemble Approach for Mental Workload Classification Using EEG
  • Really Can't Hold On Anymore? Physiological Indicators Versus Self-Reported Motivation Drop During Jogging
  • Spatial-Temporal Visualization Tool for Hospital Support for Infection Spread and Outbreaks
  • Predictive Models of Ward Admissions from the Emergency Department
  • A Methodology Based on Subgroup Discovery to Generate Reduced Subgroup Sets for Patient Phenotyping
  • Decoding Autism Diagnosis: A Journey Towards Transparency with XAI in ML Models
  • Evaluating Synthetic Data Generation Techniques for Medical Dataset
  • Comparison Between Graph Databases and RDF Engines for Modelling Epidemiological Investigation of Nosocomial Infections
  • Identification of Patient Ventilator Asynchrony in Physiological Data Through Integrating Machine-Learning
  • GAN-Based Data Augmentation for Improving Biometric Authentication Using CWT Images of Blood Flow Sounds
  • Comparision Through Architectures of Semantic Segmentation in Breast Ultrasound Images Across Differents Input Data Dimensions
  • Longitudinal Data Analysis Based on Triadic Rules to Describe of the Psychological Reactions During COVID 19 Pandemic
  • Improving the Instance Selection Method for Better Detection of Depression in Children and Adolescents
  • Triadic Rules for Analysis of Productive and Well-Being Social in Activity-Based Working Environments
  • An Android App for Training New Doctors in Mechanical Ventilation
  • Design and Implementation of a Software System for Surveillance of Antibiotics Concentrations in Wastewater
  • Comparison of Different Data Augmentation Techniques for Improving Epileptic Seizure Detection Based on 3D Acceleration, Heart Rate and Temperature Data
  • Sequential Networks for Predicting the Clinical Risk of Chronic Patients Using Drug Dispensation
  • Leveraging Health Informatics to Enhance Outpatient Chemotherapy Operations Management
  • Leveraging Artificial Intelligence for Improved Hematologic Cancer Care: Early Diagnosis and Complications’ Prediction
  • Unpacking the Clinical Burden of Leukemia in GCC: Implications for Patient Care
  • Apnea Hypopnea Index Estimation from Low-Granularity Overnight Oxymetry Data
  • e-Consent in Biomedical Research Registries: A GDPR-Compliant Approach Explored in the Context of the Australasian Diabetes Data Network
  • Skimming of Electronic Health Records Highlighted by an Interface Terminology Curated with Machine Learning Mining
  • Bed Management System Implementation: Experimental Study
  • Using Data Mining Techniques to Understand Patterns of Suicide and Reattempt Rates in Southern Brazil
  • Machine Learning-Based Qualitative Analysis of Human Gait Through Video Features
  • Unleashing the Potential of Reinforcement Learning for Personalizing Behavioral Transformations with Digital Therapeutics: A Systematic Literature Review
  • Hyperparameter Optimization Using Genetic Algorithm for Extracting Social Determinants of Health Text
  • Evaluation of "Speech System" and "Skill": An Interaction Paradigm for Speech Therapy
  • Monitoring Pain in Patients with Chronic Pain with a Wearable Wristband in Daily Life: A Pilot Study
  • The Impact of Class Weight Optimization on Improving Machine Learning Outcomes in Identifying COVID-19 Specific ECG Patterns
  • Application of Formal Concept Analysis to Characterize Driving Behaviors and Socio-Cultural Factors Related to Driving
  • Process-Aware Analysis of Treatment Paths in Heart Failure Patients: A Case Study
  • i-SART: An Intelligent Assistant for Safety Analysis in Radiation Therapy
  • Melanoma Classification Through Deep Ensemble Learning and Explainable AI
  • Perceptions of Humanoid Robots in Caregiving: A Study of Skilled Nursing Home and Long Term Care Administrators
  • Enhancing Summarization Performance Through Transformer-Based Prompt Engineering in Automated Medical Reporting
  • Setting a PACS on FHIR
  • Strategic Oversight Across Real-World Health Data Initiatives in a Complex Health Data Space: A Call for Collective Responsibility
  • Synergizing Data Imputation and Electronic Health Records for Advancing Prostate Cancer Research: Challenges, and Practical Applications
  • Comparative Experimentation of Accuracy Metrics in Automated Medical Reporting: The Case of Otitis Consultations
  • Automatic Scoring of Shulman's Clock Drawing Dementia Test
  • Augmentation of Motor Imagery Data for Brain-Controlled Robot-Assisted Rehabilitation
  • Antibiotic Prescriptions Before, During and after the Corona Pandemic in Schleswig-Holstein with Prescription Data from 2017 till 2023
  • Chatting for Change: Insights into and Directions for Using Online Peer Support Groups to Interrupt Prolonged Workplace Sitting
  • A Survey on Usability Evaluation in Digital Health and Potential Efficiency Issues
  • Technology Support System and Review Process for a Decentralized Clinical Trial: Trials@Home, RADIAL DCT as Case Study
  • Prediction of Heart Disease Severity Using Hierarchically-Structured Machine-Learning Models with Feature Space Reduction
  • Stroke Prehospital Decision Support Systems Based on Artificial Intelligence: Grey Literature Scoping Review
  • Observational Study of a Digital Application to Detect Attachment in Dyads Using Markov Chains
  • A Type of EEG-ITNet for Motor Imagery EEG Signal Classification
  • Towards Using Synthetic User Interaction Data in Digital Healthcare Usability Evaluation
  • Approach and Method for Bayesian Network Modelling: The Case for Pregnancy Outcomes in England and Wales
  • Evaluation of the Role of the Informatician after Changes in the Legislative Landscape of Women’s Reproductive Health
  • Evaluating the Viability of Neural Networks for Analysing Electromyography Data in Home Rehabilitation: Estimating Foot Progression Angle
  • Architectural Design for Enhancing Remote Patient Monitoring in Heart Failure: A Case Study of the RETENTION Project
  • Underdiagnosed Depression in Older Adults: Analysis of the National Health Survey and Other Aggregate Factors
  • Evaluating Movement and Device-Specific DeepConvLSTM Performance in Wearable-Based Human Activity Recognition
  • Naïve Bayes as a Probabilistic Tool for Monitoring the Health Status of Chronic Patients
  • Exploring the Power of Triple Crown Process Modeling in Healthcare: Sepsis Case
  • Segmentation and Classification of Dental Caries in Cone Beam Tomography Images Using Machine Learning and Image Processing
  • Customer Identity Management in Health Insurance with Blockchain Technology: A Literature Review
  • Quantified Health: A Feasibility Study on a Sensor-Based Feedback and Assistance System in Cardiology, Oncology and Orthopaedics
  • Assessment of the Relationship Between Attribute Coding and the Interpretability of Machine Learning Models: An Analysis in the Context of Children and Adolescents with Depression
  • Taking Behavioral Science to the next Level: Opportunities for the Use of Ontologies to Enable Artificial Intelligence-Driven Evidence Synthesis and Prediction
  • Improving Self-Report Diaries: A Respondent-Centric Design Approach
  • Safeguarding Ethical AI: Detecting Potentially Sensitive Data Re-Identification and Generation of Misleading or Abusive Content from Quantized Large Language Models
  • 2ViTA-B Cognitive: A Virtual Assistant for Cognitive Rehabilitation
  • Counting Red Blood Cells in Thin Blood Films: A Comparative Study
  • Business Intelligence Enhancements to EDC for Clinical Trial Management
  • Covid-19 Impact on Standard Coding Systems Update
  • Investigations on Anger Experience with Other Basic Emotions Using Affective Ising Model
  • An Empirical Analysis of Undergraduate Information Systems Security Behaviors
  • Image and Text Feature Based Multimodal Learning for Multi-Label Classification of Radiology Images in Biomedical Literature
  • Answering the Call to Go Beyond Accuracy: An Online Tool for the Multidimensional Assessment of Decision Support Systems
  • Bridging Gaps in Fracture Rehabilitation: A Mobile Solution Proposal for Comprehensive Recovery
  • Towards Inclusive Digital Health: An Architecture to Extract Health Information from Patients with Low-Resource Language
  • A Concept for Daily Assessments During Nutrition Intake: Integrating Technology in the Nursing Process
  • SynthCheck: A Dashboard for Synthetic Data Quality Assessment
  • Android App for Symptomatic Monitoring of Cervical Dystonia: Design and Usability Study
  • Automated Medical Text Simplification for Enhanced Patient Access
  • Evaluation of the Performance of Wearables’ Inertial Sensors for the Diagnosis of Resting Tremor in Parkinson’s Disease
  • Are End-Users Participating in the Life Cycle of Healthcare Application Development? An Analysis of the Opportunities and Challenges of the Use of HCI Techniques in the Healthcare Sector
  • Investigating the Impact of Ventilator Bundle Compliance Rates on Predicting ICU Patients with Risk for Hospital-Acquired Ventilator-Associated Pneumonia Infection in Saudi Arabia
  • Creative Coding for Dance Movement Therapy in Children with Autism
  • Com@Rehab: An Interactive and Personalised Rehabilitation Activity Based on Virtual Reality
  • P2DS: A Holistic Approach to Psychiatric Disease Detection in Community Pharmacies
  • Coding by Design: GPT-4 Empowers Agile Model Driven Development
  • Multi-Dimensional Process Analysis of Software Development Projects
  • A Model-Based Framework for News Content Analysis
  • Comparative Evaluation of NLP Approaches for Requirements Formalisation
  • System Architects Are not Alone Anymore: Automatic System Modeling with AI
  • The Lifecycle of Data Clumps: A Longitudinal Case Study in Open-Source Projects
  • DecSup: An Architecture Description Language for Specifying and Simulating the Decision Support System Architectures
  • Fault Tree Reliability Analysis via Squarefree Polynomials
  • Kant: A Domain-Specific Language for Modeling Security Protocols
  • Model-Based Assessment of Conformance to Acknowledged Security-Related Software Architecture Good Practices
  • Qualitative Reasoning and Design Space Exploration
  • Concept of Automated Testing of Interactions with a Domain-Specific Modeling Framework with a Combination of Class and Syntax Diagrams
  • AI-Based Recognition of Sketched Class Diagrams
  • An Analysis and Simulation Framework for Systems with Classification Components
  • Defining KPIs for Executable DSLs: A Manufacturing System Case Study
  • On Augmenting Scenario-Based Modeling with Generative AI
  • Large Language Models in Enterprise Modeling: Case Study and Experiences
  • A Tool for Modeling and Tailoring Hybrid Software Processes
  • Single-Sourcing for Desktop and Web Applications with EMF Parsley
  • MDE-Based Graphical Tool for Modeling Data Provenance According to the W3C PROV Standard
  • Torque not Work, Representing Kinds of Quantities
  • Virtual61850: A Model-Driven Tool to Support the Design and Validation of Virtualized Controllers in Power Industry
  • Constructive Assertions with Abstract Models
  • MBSE to Support Engineering of Trustworthy AI-Based Critical Systems
  • Jabuti CE: A Tool for Specifying Smart Contracts in the Domain of Enterprise Application Integration
  • Model-Driven Methodology for Developing Chatbots Based on Microservice Architecture
  • Towards a Domain Model for Learning and Teaching
  • Using Personalised Authentication Flows to Address Issues with Traditional Authentication Methods
  • Collaborative Computing Paradigms: A Software Systems Architecture for Dynamic IoT Environments
  • Improvement of Ghost Imaging-OCT High-Resolution Real-Time Imaging
  • Improving a Compressively Strained Ga x In 1-X N y As 1-Y /GaAs Multiple Quantum Well Lasers for Emitting around 1300 Nm
  • Biconic Approximation of a Toric Surface
  • Developing a Sequential Mask Projection Technique for Micro-Lens Generation Using Excimer Laser Micro-Structuring
  • Machine Learning-Based Disease Severity Prediction in Sickle Cell Patients: Spectroscopic Insights
  • Optical Characterization of Micro Spiral Phase Plates
  • Numerical Evaluation of the Image Space Reconstruction Algorithm
  • OCT Image Analysis of Internal Changes in Leaves due to Ozone Stresses
  • Subwavelength Plasma Gratings Formation in the Process of Laser Modification in the Volume of Fused Silica
  • Optimization of Active Region of Quantum Cascade Laser (QCL) by Coupled Calculation of Genetic Algorithm and QCL Simulator
  • Design and Simulation of Single-Mode and Polarization Independent Deeply Etched Amorphous Silicon on SOI Waveguides
  • On the Formal Robustness Evaluation for AI-based Industrial Systems
  • On Some Artificial Intelligence Methods in the V-Model of Model-Based Systems Engineering
  • Bringing Systems Engineering Models to Large Language Models: An Integration of OPM with an LLM for Design Assistants
  • MBSE-Enhanced LSTM Framework for Satellite System Reliability and Failure Prediction
  • On the Artificial Reasoning with Chess: A CBR vs PBR View
  • Compliance by Design for Cyber-Physical Energy Systems: The Role of Model-Based Systems Engineering in Complying with the EU AI Act
  • AI Engineering for Trust by Design
  • AI Systems Trustworthiness Assessment: State of the Art
  • Facilitating User-Centric Model-Based Systems Engineering Using Generative AI
  • How the Health Insurance Industry Is Uniquely Positioned to Implement Digital Health Interventions and Preventative Care Measures
  • Advocating for Harnessing the Power of Ecosystems in Healthcare: The Case of an Ecosystem in the Realm of Parkinson’s Disease - A Position Paper
  • Transforming NCD Business Models in Switzerland: CSS Insurance Perspective
  • What Needs to Change to Make Digital Health Successful? The Perspective of the Austrian Healthcare Provider Mavienext
  • Navigating Germany’s Digital Health Ecosystem: Insights from a Health Insurance Industry Expert
  • Harmonizing Innovation and Regulation: Swiss Health Insurance Navigates Digital Health Technologies for Enhanced Patient Engagement
  • Aligning Strategies: How Digital Health Technologies Are Used by a Swiss Insurance Company to Foster a Sustainable Healthcare Landscape
  • Implications and Perceptions of Digital Health Technologies: A Multiple Case Study on the Payers’ Viewpoint
  • Unlocking the Potential of Digital Health Technologies: The Role of Health Insurance Companies in Shaping the Digital Healthcare Ecosystem
  • Reimagining Preventive Care and Digital Health: A Paradigm Shift in a Health Insurance’s Role
  • Localized Surface Plasmon Resonance on Optical Fiber Surface for Chemical Sensing
  • Investigation of Lossy Mode Resonance Phenomenon in High Index Cladding Optical Fiber
  • Promote Competency-Based Training Approach in Quality, Regulatory and Clinical Affairs to Improve MD/IVDD Safety and Performance
  • Clinical Evaluation of Collaborative Artificial Intelligence Systems: Lessons from the Case of Robot-Assisted Surgery
  • A Skill based Educational Program for Future Regulatory Affairs Professionals in the Medical Devices Industry: A Top down Approach at Polytech Lyon University, France
  • An Example of Personalized Pathway in Medical Device Evaluation for a Master Student in Clinical Research
  • Use of a Digital Positioning and Categorisation Aid for Clinical Investigations on Medical Devices: Questioning the Complexity of the Field and Harmonizing Stakeholders' Understanding
  • ReScore Disease Groups Based on Multiple Machine Learnings Utilizing the Grouping-Scoring-Modeling Approach
  • A Systematic Analysis of Depression-Related Discourse Within Facebook: A Comparison Between Brazilian and American Communities
  • Utilizing Radiomic Features for Automated MRI Keypoint Detection: Enhancing Graph Applications
  • Scheduling and Negotiation Method for Double Synchronized Multi-Agent Pickup and Delivery Problem
  • Dynamic Path Planning for Autonomous Vehicles Using Adaptive Reinforcement Learning
  • A Reinforcement Learning Environment for Directed Quantum Circuit Synthesis
  • XGBoost Learning of Dynamic Wager Placement for In-Play Betting on an Agent-Based Model of a Sports Betting Exchange
  • Aquarium: A Comprehensive Framework for Exploring Predator-Prey Dynamics Through Multi-Agent Reinforcement Learning Algorithms
  • Multi-Agent Monocular SLAM
  • Clustering-Based Approach to Strategy Selection for Meta-Strategy in Automated Negotiation
  • Decentralized Intelligence for Smart Agriculture
  • Deep Reinforcement Learning Framework with Representation Learning for Concurrent Negotiation
  • Q-Defense: When Q-Learning Comes to Help Proof-of-Work Against the Selfish Mining Attack
  • Twisted Strategy Bolsters Minority Cooperator Populations
  • Parameter Estimation of Macroeconomic Agent-Based Models Using Evolutionary Computation
  • Interactively Teaching an Inverse Reinforcement Learner with Limited Feedback
  • Be Persuasive! Automatic Transformation of Virtual Agent's Head and Facial Behavior
  • Driving Towards a Sustainable Future: A Multi-Layered Agent-Based Digital Twin Approach for Rural Areas
  • Unmasking the Giant: A Comprehensive Evaluation of ChatGPT’s Proficiency in Coding Algorithms and Data Structures
  • Effects of Virtual-Teacher Appearance and Student Gender on Lesson Effectiveness in Teaching About Social Issues
  • Multi-Agent Quantum Reinforcement Learning Using Evolutionary Optimization
  • ClusterComm: Discrete Communication in Decentralized MARL Using Internal Representation Clustering
  • A Three-Valued Semantics for Negotiated Situation of Multi-Agent System Based on BATNA and WATNA
  • Scalable Verification of Social Explainable AI by Variable Abstraction
  • Sweeping-Based Multi-Robot Exploration in an Unknown Environment Using Webots
  • AutoNav in C-L-U-E: A Baseline Autonomous Software Stack for Autonomous Navigation in Closed Low-Speed Unstructured Environments
  • Subgoal Reachability in Goal Conditioned Hierarchical Reinforcement Learning
  • Simulation Analysis of Evacuation Guidance Using Dynamic Distributed Signage
  • Experimenting with Planning and Reasoning in Ad Hoc Teamwork Environments with Large Language Models
  • A Framework for Studying Communication Pathways in Machine Learning-Based Agent-to-Agent Communication
  • Constraints Enabled Autonomous Agent Marketplace: Discovery and Matchmaking
  • Improving the Sum-of-Cost Methods for Reduction-Based Multi-Agent Pathfinding Solvers
  • Adapted Conflict Detection for Conflict Based Search
  • Better Spacial Hashing with Linear Memory Usage and Parallelism
  • The Role of Stop-Loss Orders in Market Efficiency and Stability: An Agent-Based Study
  • Exploring the Impact of Competing Narratives on Financial Markets II: An Opinionated Trader Agent-Based Model with Dynamic Feedback
  • Integrated Simulation Approach for Dynamic Distributed Evacuation Guidance Under Fire Spread and Rare but Catastrophic Events
  • DriveToGæther: A Turnkey Collaborative Robotic Event Platform
  • Assessing Routing Decisions of Search and Rescue Teams in Service of an Artificial Social Intelligence Agent
  • Quantum Advantage Actor-Critic for Reinforcement Learning
  • Multi-Agent Based Framework for Cooperative Traffic Management in C-ITS System
  • Multi-Agent Path Finding: Policies Instead of Plans
  • Exploring the Impact of Competing Narratives on Financial Markets I: An Opinionated Trader Agent-Based Model as a Practical Testbed
  • Investigation of Heuristics for PIBT Solving Continuous MAPF Problem in Narrow Warehouse
  • An Investigation of Distributed Constraint Optimization with Non-Responding Agents Toward Real-Time Solution Method on Practical Messaging Platforms
  • Advancements in Traffic Simulations with multiMATSim’s Distributed Framework
  • Comparing Variable Handling Strategies in BDI Agents: Experimental Study
  • Scalable Prediction of Atomic Candidate OWL Class Axioms Using a Vector-Space Dimension Reduced Approach
  • Using Chatbot Technologies to Support Argumentation
  • Hybrid Mechanistic Neural Network Modelling of the Degree of Cure of Polymer Composite
  • Analysis of the Effectiveness of Large Language Models in Assessing Argumentative Writing and Generating Feedback
  • Predicting Major Donor Prospects Using Machine Learning
  • I-AM-Bird: A Deep Learning Approach to Detect Amazonian Bird Species in Residential Environments
  • An Analysis of Knowledge Representation for Anime Recommendation Using Graph Neural Networks
  • Diversifying Knowledge Enhancement of Biomedical Language Models Using Adapter Modules and Knowledge Graphs
  • Lazy Nested Monte Carlo Search for Coalition Structure Generation
  • Identification of Opinion and Ground in Customer Review Using Heterogeneous Datasets
  • Deep Reinforcement Learning and Transfer Learning Methods Used in Autonomous Financial Trading Agents
  • Multiple Relations Classification Using Imbalanced Predictions Adaptation
  • Neural Architecture Search for Bearing Fault Classification
  • Optimization of Fuzzy Rule Induction Based on Decision Tree and Truth Table: A Case Study of Multi-Class Fault Diagnosis
  • Investigation into the Training Dynamics of Learned Optimizers
  • A Hierarchical Anytime k-NN Classifier for Large-Scale High-Speed Data Streams
  • DGDNN: Decoupled Graph Diffusion Neural Network for Stock Movement Prediction
  • Knowledge Modelling, Strategy Designing, and Agent Engineering for Reconnaissance Blind Chess
  • Dataset Characteristics and Their Impact on Offline Policy Learning of Contextual Multi-Armed Bandits
  • Exploring Unsupervised Anomaly Detection with Quantum Boltzmann Machines in Fraud Detection
  • An Optimised Ensemble Approach for Multivariate Multi-Step Forecasts Using the Example of Flood Levels
  • Evaluating Data Augmentation Techniques for Coffee Leaf Disease Classification
  • Multi-Granular Evaluation of Diverse Counterfactual Explanations
  • Improving Parameter Training for VQEs by Sequential Hamiltonian Assembly
  • Machine Learning-Based Optimization of E-Commerce Advertising Campaigns
  • GNNDLD: Graph Neural Network with Directional Label Distribution
  • Dynamically Choosing the Number of Heads in Multi-Head Attention
  • Parameter-Free Undersampling for Multi-Label Data
  • Garment Returns Prediction for AI-Based Processing and Waste Reduction in E-Commerce
  • On Handling Concept Drift, Calibration and Explainability in Non-Stationary Environments and Resources Limited Contexts
  • Embryo Development Stage Onset Detection by Time Lapse Monitoring Based on Deep Learning
  • CNNs Sparsification and Expansion for Continual Learning
  • Spread and (Mis)use of Evaluative Expressions in Human Written and LLM-Based Generated Text
  • Towards Efficient Quantum Anomaly Detection: One-Class SVMs Using Variable Subsampling and Randomized Measurements
  • LIDL4Oliv: A Lightweight Incremental Deep Learning Model for Classifying Olive Diseases in Images
  • VP-DARTS: Validated Pruning Differentiable Architecture Search
  • On Learning Bipolar Gradual Argumentation Semantics with Neural Networks
  • A Probabilistic Approach for Detecting Real Concept Drift
  • EAPC: Emotion and Audio Prior Control Framework for the Emotional and Temporal Talking Face Generation
  • Metrics for Popularity Bias in Dynamic Recommender Systems
  • Examining Decision-Making in Air Traffic Control: Enhancing Transparency and Decision Support Through Machine Learning, Explanation, and Visualization: A Case Study
  • Efficient and Flexible Topic Modeling Using Pretrained Embeddings and Bag of Sentences
  • Spiral Drawing Test and Explainable Convolutional Neural Networks for Parkinson’s Disease Detection
  • Multiple Agents Dispatch via Batch Synchronous Actor Critic in Autonomous Mobility on Demand Systems
  • Towards the Use of AI-Based Tools for Systematic Literature Review
  • ALISE: An Automated Literature Screening Engine for Research
  • Big Data Synthesis and Class Imbalance Rectification for Enhanced Forest Fire Classification Modeling
  • A Survey of Deep Learning: From Activations to Transformers
  • DRL4HFC: Deep Reinforcement Learning for Container-Based Scheduling in Hybrid Fog/Cloud System
  • Depth-Enhanced 3D Deep Learning for Strawberry Detection and Widest Region Identification in Polytunnels
  • Hybrid Quanvolutional Echo State Network for Time Series Prediction
  • Fingerprint Large Classification Using Sequential Learning on Parallel Environment
  • Second-Order Learning with Grounding Alignment: A Multimodal Reasoning Approach to Handle Unlabelled Data
  • Foundations of Dispatchability for Simple Temporal Networks with Uncertainty
  • A Unified Conceptual Framework Integrating UML and RL for Efficient Reconfiguration Design
  • A Challenging Data Set for Evaluating Part-of-Speech Taggers
  • Adaptive Action Supervision in Reinforcement Learning from Real-World Multi-Agent Demonstrations
  • HierNet: Image Recognition with Hierarchical Convolutional Networks
  • A Coachable Parser of Natural Language Advice
  • Investigation of the Performance of Different Loss Function Types Within Deep Neural Anchor-Free Object Detectors
  • From Targets to Rewards: Continuous Target Sets in the Algorithmic Search Framework
  • A Deep Analysis for Medical Emergency Missing Value Imputation
  • Partial Tensorized Transformers for Natural Language Processing
  • Evaluating Large Language Models in Semantic Parsing for Conversational Question Answering over Knowledge Graphs
  • Adaptive Questionnaire Design Using AI Agents for People Profiling
  • VOEDHgesture: A Multi-Purpose Visual Odometry/ Simultaneous Localization and Mapping and Egocentric Dynamic Hand Gesture Data-Set for Virtual Object Manipulations in Wearable Mixed Reality
  • Advanced Deep Learning Techniques for Industry 4.0: Application to Mechanical Design and Structural Health Monitoring
  • Improvement of Satellite Image Classification Using Attention-Based Vision Transformer
  • Prediction of Kellgren-Lawrence Grade of Knee Osteoarthritis by Deep Residual Networks Using MR Image with Segmented Image and Slice Position
  • iXGB: Improving the Interpretability of XGBoost Using Decision Rules and Counterfactuals
  • Sales Forecasting for Pricing Strategies Based on Time Series and Learning Techniques
  • Performance Assessment of Neural Radiance Fields (NeRF) and Photogrammetry for 3D Reconstruction of Man-Made and Natural Features
  • Bridging the Explanation Gap in AI Security: A Task-Driven Approach to XAI Methods Evaluation
  • Enhancing Portfolio Performance: A Random Forest Approach to Volatility Prediction and Optimization
  • Automatic Detection and Classification of Atmospherical Fronts
  • A Systematic Literature Review of Artificial Intelligence Applications for Diagnosing Hand Tremor Disorders Through Video Analysis
  • Enhancing Manufacturing Quality Prediction Models Through the Integration of Explainability Methods
  • Mobile Agents-Based Framework for Dynamic Resource Allocation in Cloud Computing
  • Climate-Friendly Online Shopping Within the Green eCommerce Project: A Fitting Tool to Determine T-Shirt Sizes Using Active Depth Sensing
  • Designing Algorithms for the Shortest Path Reconfiguration Problem Using Decision Diagram Operations
  • FAQ-Based Question Answering Systems with Query-Question and Query-Answer Similarity
  • A Novel Image Steganography Method Based on Spatial Domain with War Strategy Optimization and Reed Solomon Model
  • A Novel Metric for Measuring Data Quality in Classification Applications
  • Hybrid Approach to Explain BERT Model: Sentiment Analysis Case
  • A Multi-Task Learning Framework for Image Restoration Using a Novel Generative Adversarial Network
  • Transition of Model Performance in Dependence of the Amount of Data Corruption with Respect to Network Sizes
  • AccidentGPT: Large Multi-Modal Foundation Model for Traffic Accident Analysis
  • Rule-Based Decision Making in Biologically Inspired Condition Management System
  • Comparative Analysis of Internal and External Facial Features for Enhanced Deep Fake Detection
  • A Soft Constraint-Based Framework for Ethical Reasoning
  • Fair and Equitable Machine Learning Algorithms in Healthcare: A Systematic Mapping
  • CT to MRI Image Translation Using CycleGAN: A Deep Learning Approach for Cross-Modality Medical Imaging
  • Artificial Intelligence Algorithms to Predict College Students’ Dropout: A Systematic Mapping Study
  • Curvature-Informed Attention Mechanism for Long Short-Term Memory Networks
  • Using Ensemble Models for Malicious Web Links Detection
  • Spatial-Temporal Graph Neural Network for the Detection of Container Escape Events
  • Dynamic Path Planning for Autonomous Vehicles: A Neuro-Symbolic Approach
  • A Delay-Aware DRL-Based Environment for Cooperative Multi-UAV Systems in Multi-Purpose Scenarios
  • Evaluating Quantum Support Vector Regression Methods for Price Forecasting Applications
  • Nudging Automated Planners with Learned User Preferences
  • RLAR: A Reinforcement Learning Abductive Reasoner
  • Time Series Prediction Models in Healthcare: Systematic Literature Review
  • Relevant Facial Key Parts and Feature Points for Emotion Recognition
  • Prediction in Pre-University Education System Using Machine Learning Methods
  • Variance Reduction of Resampling for Sequential Monte Carlo
  • A Comprehensive Analysis of Parkinson’s Disease Detection Through Inertial Signal Processing
  • A Novel Partitioning Approach for Real-Time Scheduling of Mixed-Criticality Systems
  • A Quantitative Assessment Framework for Modelling and Evaluation Using Representation Learning in Smart Agriculture Ontology
  • A Toolset for Constraint Programming
  • Automating Opinion Extraction from Semi-Structured Webpages: Leveraging Language Models and Instruction Finetuning on Synthetic Data
  • Digital Twin and Foundation Models: A New Frontier
  • Probabilistic Model Checking of Stochastic Reinforcement Learning Policies
  • DiT-Head: High Resolution Talking Head Synthesis Using Diffusion Transformers
  • System-Call-Level Dynamic Analysis for Code Translation Candidate Selection
  • Solving Many-Objective Optimization Problems Using Selection Hyper-Heuristics
  • Towards a Biologically-Plausible Computational Model of Human Language Cognition
  • Joining LDA and Word Embeddings for Covid-19 Topic Modeling on English and Arabic Data
  • Social Implications of OCEAN Personality: An Automated BERT-Based Approach
  • Agent Based Model for AUTODL Optimisation
  • Autonomous Drone Takeoff and Navigation Using Reinforcement Learning
  • New Approach Based on Substantial Derivative and LSTM for Online Arabic Handwriting Script Recognition
  • Cost-Aware TrE-ND: Tri-embed Noise Detection for Enhancing Data Quality of Knowledge Graph
  • Digital Discrimination Detection in Ridesharing Services in Rio de Janeiro City
  • SynCRF: Syntax-Based Conditional Random Field for TRIZ Parameter Minings
  • Artificial Intelligence for Visualization, Processing and Predict of Temperature and Fluid Flow Modeling
  • F4D: Factorized 4D Convolutional Neural Network for Efficient Video-Level Representation Learning
  • Simulation of Consumers Behavior Facing Discounts and Promotions
  • Zero Trust for Intrusion Detection System: A Systematic Literature Review
  • Inferring Interpretable Semantic Cognitive Maps from Noisy Document Corpora
  • Medi-CAT: Contrastive Adversarial Training for Medical Image Classification
  • Requisite Social Influence in Self-Regulated Systems
  • Predicting Emotion Before an Utterance: Replacing Contextual Information with Knowledge-Based Prediction
  • Benchmarking Quantum Surrogate Models on Scarce and Noisy Data
  • Proposal of a Cosmetic Product Recommendation Method with Review Text that is Predicted to Be Write by Users
  • Models with Verbally Enunciated Explanations: Towards Safe, Accountable, and Trustworthy Artificial Intelligence
  • Solving Job Shop Problems with Neural Monte Carlo Tree Search
  • Multi-Agent Deep Reinforcement Learning for Collaborative Task Scheduling
  • BornFS: Feature Selection with Balanced Relevance and Nuisance and Its Application to Very Large Datasets
  • LSA Is not Dead: Improving Results of Domain-Specific Information Retrieval System Using Stack Overflow Questions Tags
  • Quantum Federated Learning for Image Classification
  • GREED: Graph Learning Based Relation Extraction with Entity and Dependency Relations
  • New Speed Limit Recognition System: Software and Hardware Validation
  • Introducing Reduced-Width QNNs, an AI-Inspired Ansatz Design Pattern
  • A Description Language for Similarity, Belief Change and Trust
  • Knowledge-Aware Object Detection in Traffic Scenes
  • Exploring Patterns and Assessing the Security of Pseudorandom Number Generators with Machine Learning
  • Oral Diseases Recognition Based on Photographic Images
  • ConEX: A Context-Aware Framework for Enhancing Explanation Systems
  • Heuristic Feedback for Generator Support in Generative Adversarial Network
  • Cryptocurrency Analysis: Price Prediction of Cryptocurrency Using User Sentiments and Quantitative Data
  • Enhancing Breast Cancer Diagnosis: Automated Segmentation and Detection with YOLOv8
  • Activity Recognition in Smartphones Using Non-Intrusive Sensors
  • Detecting and Analyzing Agent Communication Anomalies in Distributed Energy System Control
  • SIFT-ResNet Synergy for Accurate Scene Word Detection in Complex Scenarios
  • A Unique Training Strategy to Enhance Language Models Capabilities for Health Mention Detection from Social Media Content
  • Parkinson’s Disease Detection Through Inertial Signals and Posture Insights
  • Harnessing LLM Conversations for Goal Model Generation from User Reviews
  • Multi-Agent Archive-Based Inverse Reinforcement Learning by Improving Suboptimal Experts
  • A Machine Learning Approach Using Interpretable Models for Predicting Success of NCAA Basketball Players to Reach NBA
  • Analysis of Intraday Financial Market Using ML and Neural Networks for GBP/USD Currency Pair Price Forecasting
  • Variational Quantum Circuit Design for Quantum Reinforcement Learning on Continuous Environments
  • Disentangling Quantum and Classical Contributions in Hybrid Quantum Machine Learning Architectures
  • Conjugate Gradient for Latent Space Manipulation
  • Compressing UNSAT CDCL Trees with Caching
  • Uncertain Formal Concept Analysis for the Study of a Text Corpus
  • Semantic Segmentation for Moon Rock Recognition Using U-Net with Pyramid-Pooling-Based SE Attention Blocks
  • Significance of Training Images and Feature Extraction in Lesion Classification
  • GOLOG++ Hits the (Right) Spot: Interfacing Golog with a Quadruped Rescue Robot for High-Level Missions
  • Explainable Deep Semantic Segmentation for Flood Inundation Mapping with Class Activation Mapping Techniques
  • A Study on Drug Similarity Measures for Predicting Drug-Drug Interactions and Severity Using Machine Learning Techniques
  • FEAT: A Fast, Effective, and Feasible Model for Molecular Property Prediction Based on Graph Neural Network
  • Towards Knowledge-Augmented Agents for Efficient and Interpretable Learning in Sequential Decision Problems
  • Decoupling the Backward Pass Using Abstracted Gradients
  • Multiverse: A Deep Learning 4X4 Sudoku Solver
  • A Multi-Stage Approach to Image Consistency in Zero-Shot Character Art Generation for the D&D Domain
  • A Formal Verification Approach to Handle Attack Graphs
  • Enhancing Constraint Optimization Problems with Greedy Search and Clustering: A Focus on the Traveling Salesman Problem
  • GenGradAttack: Efficient and Robust Targeted Adversarial Attacks Using Genetic Algorithms and Gradient-Based Fine-Tuning
  • Hybrid PSO-Based Rule Classifier for Disease Detection
  • Flattening Based Cuckoo Search Optimization Algorithm for Community Detection in Multiplex Networks
  • A Semi-Automatic Light-Weight Approach Towards Data Generation for a Domain-Specific FAQ Chatbot Using Human-in-the-Loop
  • Generating Products Placement in Warehouse Using BLPSO and MIQCPs
  • Contextual Online Imitation Learning (COIL): Using Guide Policies in Reinforcement Learning
  • Efficient Batch Assignment for Parallel-Machine Production Scheduling
  • Heimatkunde: Dataset for Multi-Modal Historical Document Analysis
  • Reward Design for Deep Reinforcement Learning Towards Imparting Commonsense Knowledge in Text-Based Scenario
  • Explainability Insights to Cellular Simultaneous Recurrent Neural Networks for Classical Planning
  • Multicriteria Analysis of the Robotic Systems Autonomy Using Fuzzy Calculations
  • Seeing Through the Smoke: An Agent Architecture for Representing Health Protection Motivation Under Social Pressure
  • Real-Time Deep Learning-Based Malware Detection Using Static and Dynamic Features
  • A Logic-Based Model to Reduce IoT Security Risks
  • Why an Automated, Scalable and Resilient Service for Semantic Interoperability is Needed
  • Autonomous Methods in Multisensor Architecture for Smart Surveillance
  • GENERATION: An Efficient Denoising Autoencoders-Based Approach for Amputated Image Reconstruction
  • Is Noise Reduction Improving Open-Source ASR Transcription Engines Quality?
  • Explainability-Driven Leaf Disease Classification Using Adversarial Training and Knowledge Distillation
  • Action Duration Generalization for Exact Multi-Agent Collective Construction
  • Neural Bradley-Terry Rating: Quantifying Properties from Comparisons
  • Which Objective Function is Solved Faster in Multi-Agent Pathfinding? It Depends
  • DeepTraderX: Challenging Conventional Trading Strategies with Deep Learning in Multi-Threaded Market Simulations
  • Facial Expression-Based Drowsiness Detection System for Driver Safety Using Deep Learning Techniques
  • Auditing Fairness and Explainability in Chest X-Ray Image Classifiers
  • Machine Learning for Predicting Traffic and Determining Road Capacity
  • Class Anchor Margin Loss for Content-Based Image Retrieval
  • Out of the Cage: How Stochastic Parrots Win in Cyber Security Environments
  • Explainable Large Language Models & iContracts
  • Boosting GA Performance: A Fuzzy Approach to Uncertainty Issues Involving Parameters in Genetic Algorithms
  • 3D Face Data Augmentation Based on Gravitational Shape Morphing for Intra-Class Richness
  • Is Amazon Kinesis Data Analytics Suitable as Core for an Event Processing Network Model?
  • Comparing Global and Local Weights in Multi-Criteria Decision-Making: A COMET-Based Approach
  • A Supervised Learning Approach to Robust Reinforcement Learning for Job Shop Scheduling
  • Government's Response to Ethical Dilemmas in Autonomous Vehicle Accidents: An Australian Policy Evaluation
  • Deep Learning Model to Predict the Ripeness of Oil Palm Fruit
  • Towards Developing an Agent-Based Framework for Validating the Trustworthiness of Large Language Models
  • Academia and Industry Synergy: Addressing Integrity Challenge in Programming Education
  • Planning Base Poses and Object Grasp Choices for Table-Clearing Tasks Using Dynamic Programming
  • Assessment of the Academic Load in a Curriculum Through an Optimization Model: Case Study of a Master Program
  • A Bounded Multi-Vacation Queue Model for Multi-Stage Sleep Control
  • Integrating Memory-Based Perturbation Operators into a Tabu Search Algorithm for Real-World Production Scheduling Problems
  • Generalized Maximum Capacity Path Problem with Loss Factors
  • A Neurodynamic Duplex for Distributionally Robust Joint Chance-Constrained Optimization
  • Stochastic Single-Allocation Hub Location Routing Problem for the Design of Intra-City Express Systems
  • Pareto Front Approximation by Ant Colony Optimization
  • Two-Stage Adaptable Robust Optimization for Glass Production
  • An Alternative Robust Design to Assist a Single-Objective Performance Optimization: Simulation Analysis of a Flexible Manufacturing System
  • Integration of Sustainable Production Criteria into Production Scheduling: A Systematic Search and a Critical Review
  • Naval Fleet Schedule Optimization Using an Integer Linear Program
  • Multi-Criteria Service System Designing Using Tabu Search Method
  • Scheduling Single AGV in Blocking Flow-Shop with Identical Jobs
  • An Efficient Approximate Dynamic Programming Approach for Resource-Constrained Project Scheduling with Uncertain Task Duration
  • Dynamic Modeling and Effective Inventory Management for Uncertain Perishable Supply Chains with non Synchronized Internal Dynamics
  • Innovation Project Selection Considering Stochastic Weighted Product Model
  • The multi-Depot multiple Set Orienteering Problem: An Integer Linear Programming Formulation
  • Multi-Server Queue, with Heterogeneous Service Valuations Induced by Travel Costs
  • Integration of Pricing and Production Scheduling Decisions: A Mathematical Model
  • Hybrid Manufacturing / Remanufacturing Inventory Model with Two Markets and Price Sensitive Demands with Competition
  • Economic Sustainability in Last-Mile Drone Delivery Problem with Fulfillment Centers: A Mathematical Formulation
  • A Learning Powered Bi-Level Approach for Dynamic Electricity Pricing
  • Variable Neighborhood Search for the Electric Bus Charging Stations Location Design Problem
  • Equilibrium Analysis and Social Optimization of a Selectable Single or Time-Based Batch Service
  • A Supervised Machine Learning Approach for the Vehicle Routing Problem
  • Real-Time Bus Arrival Prediction: A Deep Learning Approach for Enhanced Urban Mobility
  • Toward a Global Constraint for Minimizing the Flowtime
  • Modeling Missing Maritime Objects Using an Agent Based Model
  • Integrating Reliability and Sustainability: A Multi-Objective Framework for Opportunistic Maintenance in Closed-Loop Supply Chain
  • Evolutionary-Based Ant System Algorithm to Solve the Dynamic Electric Vehicle Routing Problem
  • Evolutionary Techniques for the Nurse Scheduling Problem
  • Investigation of Workforce Dynamical Behaviour from a Phase Plane Perspective
  • Toward Pareto-Optimal Investment Mix to Achieve Carbon Neutrality: A Case Study
  • Packing-Inspired Algorithms for Periodic Scheduling Problems with Harmonic Periods
  • Balancing Resources and Demand: A Bi-Objective Mixed-Integer Programming Approach of Healthcare Districts in Chile
  • A Revisited Branch and Bound Method for the Weighted Safe Set Problem
  • A Sequential Heuristic for the Efficient Management of a Work Center’s Stocking Area
  • Finite Interval Processes: Simulating Military Operations
  • Scheduling Onboard Tasks of the NIMPH Nanosatellite
  • Deep Transfer Learning for Installed Base Life-Cycle Evolution Forecast
  • Heuristic Methods for the Antenna-Constrained Beam Layout Optimization on Multibeam Broadcasting Mission
  • Partition-Form Cooperative Games in Two-Echelon Supply Chains
  • Serial or Simultaneous? Possible Attack Strategies with an Arsenal of Attack Tools
  • A Branch-and-Bound Approach to Efficient Classification and Retrieval of Documents
  • MAC: Multi-Scales Attention Cascade for Aerial Image Segmentation
  • Group Importance Estimation Method Based on Group LASSO Regression
  • Offline Text-Independent Arabic and Chinese Writer Identification Using a Multi-Segmentation Codebook-Based Strategy
  • Tab-VAE: A Novel VAE for Generating Synthetic Tabular Data
  • Achieving RGB-D Level Segmentation Performance from a Single ToF Camera
  • Small Patterns Detection in Historical Digitised Manuscripts Using Very Few Annotated Examples
  • Practical Deep Feature-Based Visual-Inertial Odometry
  • Efficient Use of Large Language Models for Analysis of Text Corpora
  • Noise Simulation for the Improvement of Training Deep Neural Network for Printer-Proof Steganography
  • Learned Fusion: 3D Object Detection Using Calibration-Free Transformer Feature Fusion
  • TenebrioVision: A Fully Annotated Dataset of Tenebrio Molitor Larvae Worms in a Controlled Environment for Accurate Small Object Detection and Segmentation
  • Impact of Using GAN Generated Synthetic Data for the Classification of Chemical Foam in Low Data Availability Environments
  • Benchmarking a Wide Range of Unsupervised Learning Methods for Detecting Anomaly in Blast Furnace
  • Improvement of Tensor Representation Label in Image Recognition: Evaluation on Selection, Complexity and Size
  • Leveraging VR and Force-Haptic Feedback for an Effective Training with Robots
  • QEBB: A Query-Efficient Black-Box Adversarial Attack on Video Recognition Models Based on Unsupervised Key Frame Selection
  • TrajViViT: A Trajectory Video Vision Transformer Network for Trajectory Forecasting
  • Fast Filtering for Similarity Search Using Conjunctive Enumeration of Sketches in Order of Hamming Distance
  • Enhancing the Readability of Palimpsests Using Generative Image Inpainting
  • FaceVision-GAN: A 3D Model Face Reconstruction Method from a Single Image Using GANs
  • On Spectrogram Analysis in a Multiple Classifier Fusion Framework for Power Grid Classification Using Electric Network Frequency
  • Cardiac Arrhythmia Detection in Electrocardiogram Signals with CNN-LSTM
  • Mobile Phone Identification from Recorded Speech Signals Using Non-Speech Segments and Universal Background Model Adaptation
  • Content Rating Classification in Fan Fiction Using Active Learning and Explainable Artificial Intelligence
  • Deep Learning, Feature Selection and Model Bias with Home Mortgage Loan Classification
  • Detection of Energy Drifts in Waste Water Treatment Plants Using Dynamic Clustering
  • Fetal Health Classification Using One-Dimensional Convolutional Neural Network
  • GENUINE: Genomic and Nucleus Information Embedding for Single Cell Genetic Alteration Classification in Microscopic Images
  • Path of Solutions for Fused Lasso Problems
  • Self-Supervised-Based Multimodal Fusion for Active Biometric Verification on Mobile Devices
  • Integrating Structure and Sequence: Protein Graph Embeddings via GNNs and LLMs
  • Applying the Neural Bellman-Ford Model to the Single Source Shortest Path Problem
  • Face Blending Data Augmentation for Enhancing Deep Classification
  • Determination of Factors of Interest in Bone Models Based on Ultrasonic Data
  • CLIP: Assisted Video Anomaly Detection
  • Semantic and Horizon-Based Feature Matching for Optimal Deep Visual Place Recognition in Waterborne Domains
  • Directional Filter for Tree Ring Detection
  • CaRaCTO: Robust Camera-Radar Extrinsic Calibration with Triple Constraint Optimization
  • PatchSVD: A Non-Uniform SVD-Based Image Compression Algorithm
  • Generative Data Augmentation for Few-Shot Domain Adaptation
  • Let Me Take a Better Look: Towards Video-Based Age Estimation
  • Military Badge Detection and Classification Algorithm for Automatic Processing of Documents
  • Impute Water Temperature in the Swiss River Network Using LSTMs
  • Robust 3D Point Cloud Registration Exploiting Unique LiDAR Scanning Pattern
  • Study of an Expansion Method Based on an Image-Specific Classifier and Multi-Features for Weakly Supervised Semantic Segmentation
  • Detecting Manuscript Annotations in Historical Print: Negative Evidence and Evaluation Metrics
  • Intrusion Detection at Railway Tunnel Entrances Using Dynamic Vision Sensors
  • Homomorphic Encryption Friendly Multi-GAT for Information Extraction in Business Documents
  • ShapeAug: Occlusion Augmentation for Event Camera Data
  • Linux Configuration Tuning: Is Having a Large Dataset Enough?
  • Counterfactual-Based Feature Importance for Explainable Regression of Manufacturing Production Quality Measure
  • AirEyeSeg: Teacher-Student Insights into Robust Fisheye UAV Detection
  • Discrimination of Signals from Large Covariance Matrix for Pattern Recognition
  • Large Age Gap Face Verification by Learning GAN Synthesized Prototype Representations
  • An Evaluation of General-Purpose Optical Character Recognizers and Digit Detectors for Race Bib Number Recognition
  • Quantification of Matching Results for Autofluorescence Intensity Images and Histology Images
  • Classifying Soccer Ball-on-Goal Position Through Kicker Shooting Action
  • Detecting Overgrown Plant Species Occluding Other Species in Complex Vegetation in Agricultural Fields Based on Temporal Changes in RGB Images and Deep Learning
  • Modeling Batch Tasks Using Recurrent Neural Networks in Co-Located Alibaba Workloads
  • Crossing Domain Borders with Federated Few-Shot Adaptation
  • Parallel Tree Kernel Computation
  • Identifying Indian Cattle Behaviour Using Acoustic Biomarkers
  • Swap-Deep Neural Network: Incremental Inference and Learning for Embedded Systems
  • Speech Recognition for Indigenous Language Using Self-Supervised Learning and Natural Language Processing
  • Person Detection and Geolocation Estimation in UAV Aerial Images: An Experimental Approach
  • Instance Selection Framework for Alzheimer’s Disease Classification Using Multiple Regions of Interest and Atlas Integration
  • Incremental Whole Plate ALPR Under Data Availability Constraints
  • Neuromorphic Encoding / Reconstruction of Images Represented by Poisson Counts
  • Information Retrieval Chatbot on Military Policies and Standards
  • Investigating the Suitability of Concept Drift Detection for Detecting Leakages in Water Distribution Networks
  • Vision Transformer Interpretability via Prediction of Image Reflected Relevance Among Tokens
  • Enhancing Surgical Visualization: Feasibility Study on GAN-Based Image Generation for Post Operative Cleft Palate Images
  • Experimental Application of Semantic Segmentation Models Fine-Tuned with Synthesized Document Images to Text Line Segmentation in a Handwritten Japanese Historical Document
  • Mitigating Outlier Activations in Low-Precision Fine-Tuning of Language Models
  • Towards Self-Adaptive Resilient Swarms Using Multi-Agent Reinforcement Learning
  • Visualization of the Basis for Decisions by Selecting Layers Based on Model's Predictions Using the Difference Between Two Networks
  • Information Theoretic Deductions Using Machine Learning with an Application in Sociology
  • YOLOv7E: An Attention-Based Improved YOLOv7 for the Detection of Unmanned Aerial Vehicles
  • Enhanced Segmentation of Deformed Waste Objects in Cluttered Environments
  • Improvement of TransUNet Using Word Patches Created from Different Dataset
  • An Algorithmic Approach for Quantitative Motion Artefact Grading in HRpQCT Medical Imaging
  • Efficient Solver Scheduling and Selection for Satisfiability Modulo Theories (SMT) Problems
  • Performance Evaluation of the Electrical Appliances Identification System Using the PLAID Database in Independent Mode of House
  • Comparison of Dimension Reduction Methods for Multivariate Time Series Pattern Recognition
  • Fuel Classification in Electronic Tax Documents
  • Surface Extraction in Coherence Scanning Interferometry by Gauss-Markov Monte-Carlo Method and Teager-Kaiser Operator
  • A Mutual Information Based Discretization-Selection Technique
  • Sample Size Estimation of Transfer Learning for Colorectal Cancer Detection
  • A Post-Processing Strategy for Association Rules in Knowledge Discovery
  • Towards Small Anomaly Detection
  • XPCA Gen: Extended PCA Based Tabular Data Generation Model
  • Classification Performance Boosting for Interpolation Kernel Machines by Training Set Pruning Using Genetic Algorithm
  • Predicting the MGMT Promoter Methylation Status in T2-FLAIR Magnetic Resonance Imaging Scans Using Machine Learning
  • Semantic Properties of Cosine Based Bias Scores for Word Embeddings
  • An Improved VGG16 Model Based on Complex Invariant Descriptors for Medical Images Classification
  • A Novel Keystroke Dataset for Preventing Advanced Persistent Threats
  • On Function of the Cortical Column and Its Significance for Machine Learning
  • Relevant Multi Domain Features Selection Based on Mutual Information for Heart Sound Classification
  • Enhancing Railway Safety: An Unsupervised Approach for Detecting Missing Bolts with Deep Learning and 3D Imaging
  • Sign Language Recognition Based on Subspace Representations in the Spatio-Temporal Frequency Domain
  • Handwriting Detection Test (HWDT): Android Application for the Recognition of Neurodegenerative Diseases
  • A Federated Learning System with Biometric Medical Image Authentication for Alzheimer's Diagnosis
  • Human Activity Recognition for Identifying Bullying and Cyberbullying: A Comparative Analysis Between Users Under and over 18 Years Old
  • Unveiling the Power of EEG Signals: Parkinson's Disease Identification via Yet Another Mobile Network (YAMNet)
  • Detecting Brain Tumors Through Multimodal Neural Networks
  • Filtered Random Hybrid Strokes (Frhs): Filtering Time-Series Considerding Velocity Profile
  • Fine-Grained Clustering of Social Media: How Moral Triggers Drive Preferences and Consensus
  • An Ontology for Value Awareness Engineering
  • Towards a Definition of Awareness for Embodied AI
  • AwarePrompt: Using Diffusion Models to Create Methods for Measuring Value-Aware AI Architectures
  • Towards a Theory of Awareness
  • Notes on Measures for Information Access in Neuroscience and AI Systems
  • Exploring Text-Generating Large Language Models (LLMs) for Emotion Recognition in Affective Intelligent Agents
  • Distributed Theory of Mind in Multi-Agent Systems
  • An Interpretable Machine Learning Approach for Identifying Occupational Stress in Healthcare Professionals
  • Exploring the Relationship Between Emotions and Norms in Decision-Making Processes of Intelligent Agents
  • A Proposal for Selecting the Most Value-Aligned Preferences in Decision-Making Using Agreement Solutions
  • The Three Worlds of MRI
  • Modeling Intestinal Glucose Absorption from D-Xylose Data
  • Hand Movement Recognition Based on Fusion of Myography Signals
  • Multi-Agent Path Finding with Continuous Time Using SAT Modulo Linear Real Arithmetic
  • Learning Occlusions in Robotic Systems: How to Prevent Robots from Hiding Themselves
  • Advancements and Challenges in Continual Learning for Natural Language Processing: Insights and Future Prospects
  • Classifying Words with 3-sort Automata
  • SMOTE: Are We Learning to Classify or to Detect Synthetic Data?
  • Outlier Detection in MET Data Using Subspace Outlier Detection Method
  • Parking Scheduling Optimisation at Paris Charles de Gaulle International Airport
  • An Approach for Improving Oversampling by Filtering out Unrealistic Synthetic Data
  • Surface EMG Signal Segmentation and Classification for Parkinson’s Disease Based on HMM Modelling
  • Towards Better Motif Detection: Comparative Analysis of Several Symbolic Methods
  • Automatic Generation of Models from Their Metamodels Using Multilayer Perceptron Network
  • Towards Efficient Driver Distraction Detection with DARTS-Optimized Lightweight Models
  • Security Contracts a Property-Based Approach to Support Security Patterns
  • Comparing Phishing Training and Campaign Methods for Mitigating Malicious Emails in Organizations
  • Ethical Design for Data Privacy and User Privacy Awareness in the Metaverse
  • User Re-Authentication via Mouse Movements and Recurrent Neural Networks
  • Analysis of Payload Confidentiality for the IoT/ LPWAN Technology ‘Lora’
  • KAIME: Central Bank Digital Currency with Realistic and Modular Privacy
  • Policy-Driven XACML-Based Architecture for Dynamic Enforcement of Multiparty Computation
  • Desktop Crypto Wallets: A Digital Forensic Investigation and Analysis of Remnants and Traces on end-User Machines
  • Anywhere on Earth: A Look at Regional Characteristics of DRDoS Attacks
  • Robust Image Deepfake Detection with Perceptual Hashing
  • Botnet Detection by Integrating Multiple Machine Learning Models
  • Build a Computationally Efficient Strong Defense Against Adversarial Example Attacks
  • A Categorical Data Approach for Anomaly Detection in WebAssembly Applications
  • Automating IoT Security Standard Testing by Common Security Tools
  • Federated Learning with Differential Privacy and an Untrusted Aggregator
  • A Framework for E2E Audit Trails in System Architectures of Different Enterprise Classes
  • Off-Chaining Approaches for Cost-Efficiency in Threshold-Based Elliptic Curve Systems over Blockchains
  • CPE-Identifier: Automated CPE Identification and CVE Summaries Annotation with Deep Learning and NLP
  • UPSS: A Global, Least-Privileged Storage System with Stronger Security and Better Performance
  • Forgery Resistance of User Authentication Methods Using Location, Wi-Fi and Their Correlation
  • Silicon-Integrated Security Solutions Driving IoT Security
  • Comparing the Effectivity of Planned Cyber Defense Controls in Order to Support the Selection Process
  • Security Analysis of an Image Encryption Based on the Kronecker Xor Product, the Hill Cipher and the Sigmoid Logistic Map
  • Evaluating the Security and Privacy Risk Postures of Virtual Assistants
  • Banking Malware Detection: Leveraging Federated Learning with Conditional Model Updates and Client Data Heterogeneity
  • Enclave Management Models for Safe Execution of Software Components
  • The Classification and Impact of Cyber Attacks Targeting Critical Service Providers
  • The Role of Heuristics and Biases in Linux Server Administrators’ Information Security Policy Compliance at Healthcare Organizations
  • GPU-Based Brute Force Cryptanalysis of KLEIN
  • Anonymous Multi-Receiver Certificateless Hybrid Signcryption for Broadcast Communication
  • Gradient-Based Clean Label Backdoor Attack to Graph Neural Networks
  • Comparative Analysis of Feature Selection Algorithms for Automated IoT Device Fingerprinting
  • Perceptions of Cyber Security Risk of the Norwegian Advanced Metering Infrastructure
  • Machine Learning-Based Classification of Hardware Trojans in FPGAs Implementing RISC-V Cores
  • A Decentralized Federated Learning Using Reputation
  • An Open-Source Approach to OT Asset Management in Industrial Environments
  • Exploring Errors in Binary-Level CFG Recovery
  • Evaluating the Influence of Multi-Factor Authentication and Recovery Settings on the Security and Accessibility of User Accounts
  • Effectiveness of Malware Incident Management in Security Operations Centres: Trends, Challenges and Research Directions
  • Towards Generalized Diffie-Hellman-esque Key Agreement via Generic Split KEM Construction
  • Privacy-Aware Single-Nucleotide Polymorphisms (SNPs) Using Bilinear Group Accumulators in Batch Mode
  • Security Analysis of an Image Encryption Scheme Based on a New Secure Variant of Hill Cipher and 1D Chaotic Maps
  • ADMIn: Attacks on Dataset, Model and Input: A Threat Model for AI Based Software
  • Vulnerability Information Sharing Platform for Securing Hardware Supply Chains
  • Efficient Secure Computation of Edit Distance on Genomic Data
  • Towards Automated Information Security Governance
  • Feasibility of Random Forest with Fully Homomorphic Encryption Applied to Network Data
  • AnonEmoFace: Emotion Preserving Facial Anonymization
  • Merging Policy and Practice: Crafting Effective Social Engineering Awareness-Raising Policies
  • An Improved PUF-Based Privacy-Preserving IoT Protocol for Cloud Storage
  • Pure Multi Key BGV Implementation
  • Preserving Privacy in High-Dimensional Data Publishing
  • Attestation with Constrained Relying Party
  • Implementation and Analysis of Covert Channel Using iBeacon
  • Exploring BERT for Predicting Vulnerability Categories in Device Configurations
  • LSTM Autoencoder-Based Insider Abnormal Behavior Detection Using De-Identified Data
  • Supporting CAN Bus Anomaly Detection with Correlation Data
  • PenGym: Pentesting Training Framework for Reinforcement Learning Agents
  • Cybersecurity-Related Tweet Classification by Explainable Deep Learning
  • ArkThor: Threat Categorization Based on Malware’s C2 Communication
  • APP-CEP: Adaptive Pattern-Level Privacy Protection in Complex Event Processing Systems
  • A Brief Reflection on Trusted Platform Module Support
  • Revolutionizing Board Cyber-Risk Management Using Collaborative Gaming
  • Your Robot Might Be Inadvertently or Deliberately Spying on You: A Critical Analysis of Privacy Practices in the Robotics Industry
  • Differential Privacy for Distributed Traffic Monitoring in Smart Cities
  • RoomKey: Extracting a Volatile Key with Information from the Local WiFi Environment Reconstructable Within a Designated Area
  • EMplifier: Hybrid Electromagnetic Probe for Side Channel and Fault Injection Analysis
  • Performance Evaluation of Polynomial Commitments for Erasure Code Based Information Dispersal
  • A Recommender System to Detect Distributed Denial of Service Attacks with Network and Transport Layer Features
  • Interpretable Android Malware Detection Based on Dynamic Analysis
  • Visual Attention and Privacy Indicators in Android: Insights from Eye Tracking
  • The Status and Management of Web-Related Security at Higher Education Institutions in Poland
  • FeedMeter: Evaluating the Quality of Community-Driven Threat Intelligence
  • Vision Based Malware Classification Using Deep Neural Network with Hybrid Data Augmentation
  • Conceptualising an Anti-Digital Forensics Kill Chain for Smart Homes
  • Security Evaluation of Decision Tree Meets Data Anonymization
  • IoT Device Classification Using Link-Level Features for Traditional Machine Learning and Large Language Models
  • Smart Homes as Digital Ecosystems: Exploring Privacy in IoT Contexts
  • PETRIoT - A Privacy Enhancing Technology Recommendation Framework for IoT Computing
  • An Automated Adaptive Security Framework for Cyber-Physical Systems
  • An Empirical Study of Ransomware Vulnerabilities Descriptions
  • Fuzzing Matter(s): A White Paper for Fuzzing the Matter Protocol
  • Secure Multiparty Computation of the Laplace Mechanism
  • What's Your Purpose? An Approach to Incorporating GDPR Purposes into Requirements Analysis
  • Using ILP to Learn AppArmor Policies
  • Cybersecurity Incident Response Readiness in Organisations
  • The Right Tool for the Job: Contextualization of Cybersecurity Education and Assessment Methods
  • Learning from the Dark Side About How (not) to Engineer Privacy: Analysis of Dark Patterns Taxonomies from an ISO 29100 Perspective
  • Blockchain for Privacy-Preserving Data Distribution in Healthcare
  • The Design and Implementation of a Semantic Web Framework for the Event-Centric Digital Forensics Analysis
  • Detecting eBPF Rootkits Using Virtualization and Memory Forensics
  • Feasibility of Privacy Preserving Minutiae-Based Fingerprint Matching
  • Innovative Uses of Drones for Logistics in Healthcare and Production
  • Letting Go of the Numbers: Measuring AI Trustworthiness
  • Trajectory Augmentation for Robust Neural Locomotion Controllers
  • Real-Time Desertscapes Simulation with CUDA
  • Exploring the Effect of Display Type on Co-Located Multiple Player Gameplay Performance, Immersion, Social Presence, and Behavior Patterns
  • Pure Physics-Based Hand Interaction in VR
  • Using the Polynomial Particle-in-Cell Method for Liquid-Fabric Interaction
  • Towards Generating 3D City Models with GAN and Computer Vision Methods
  • Sparse Spatial Shading in Augmented Reality
  • ML-Tree and MRL-Tree: Combining Mass-Spring System, Rigid-Body Dynamics and L-Systems to Model Physical Effects on Trees
  • Polyline Simplification with Predefined Edge Directions by Mixed Integer Linear Programs
  • Parameter-Free Connectivity for Point Clouds
  • Viewpoint Selection for Molecular Visualization: Analysis and Applications
  • A Predictor for Triangle Mesh Compression Working in Tangent Space
  • Efficiency of 3D Fractal Generation Through Raymarching
  • Data-Driven Viscosity Solver for Fluid Simulation
  • Automatic Registration of 3D Point Cloud Sequences
  • Thinking on Your Feet: Enhancing Foveated Rendering in Virtual Reality During User Activity
  • Real-Time Editing of Path-Traced Scenes with Prioritized Re-Rendering
  • HandWindowTeleportation: Locomotion with Hand Gestures for Virtual Reality Games
  • Virtual Reality for Detailed Visualization and Generation of Proximal and Distal Bone Fracture Patterns
  • An Evaluation Research on Dynamic Hit Stop Using Eye Gaze
  • Handing Pedagogical Scenarios Back over to Domain Experts: A Scenario Authoring Model for VR with Pedagogical Objectives
  • Hierarchical Bitmask Implicit Grids for Efficient Point-in-Volume Queries on the GPU
  • TreeSpecies-PC2DT: Automated Tree Species Modeling from Point Clouds to Digital Twins
  • Non-Photorealistic Rendering of 3D Point Clouds Using Segment-Specific Image-Space Effects
  • Transformer-Based Two-level Approach for Music-driven Dance Choreography
  • Detection of Local Symmetry Polylines of Polygons Based on Sweeping Paradigm
  • Adaptation Speed for Exposure Control in Virtual Reality
  • Automated Palette Cycling Animations
  • Exploring Foveation Techniques for Virtual Reality Environments
  • A Virtual Reality Prototype as a Tool Against Verbal Abuse in Classrooms: A Multidisciplinary Approach
  • Pseudo-Curvature of Fractal Curves for Geometric Control of Roughness
  • Modelling Cognitive Workload to Build Multimodal Voice Interaction in the Car
  • Evaluating Blink Rate as a Dynamic Indicator of Mental Workload in a Flight Simulator
  • Applying Cognitive and Cultural Frameworks to mHealth Application Design for Elderly Users
  • Gaia: A Social Robot to Help Connect Humans and Plants
  • Sense of Presence, Realism, and Simulation Sickness in Operational Tasks: A Comparative Analysis of Virtual and Mixed Reality
  • AR Authoring: How to Reduce Errors from the Start?
  • AI-Supported Diagnostic of Depression Using Clinical Interviews: A Pilot Study
  • A Digital Inclusion and Technological Barriers: Investigating the Challenges Faced by Formerly Incarcerated Populations in Adopting and Accessing Technology
  • Virtual Reality and Autism Spectrum Disorder: Emergence of Sensory-Motor and Olfactory Potentialities in an Anthropocentric Epistemological Approach
  • Real-Time Heart Rate Visualization for Individuals with Autism Spectrum Disorder: An Evaluation of Technology Assisted Physical Activity Application to Increase Exercise Intensity
  • A Comparative Study: Augmented and Virtual Reality Applications for Improving Comprehension of Abstract Programming Concepts
  • Visual Behavior Based on Information Foraging Theory Toward Designing of Auditory Information
  • Towards Automated Decision Making in Dating Apps Through Pupillary Responses
  • From Surveys to TV Series: Study of the Role of Haptic in Social Interaction
  • Perception of a Spatial Implausibility Caused by Seamless Covert Teleportation
  • Using Fitts' Law to Compare Sonification Guidance Methods for Target Reaching Without Vision
  • Look-over-there: Real-World Co-Located Cross-Referencing Using Augmented Reality
  • Emotional and Meditative States in Interactive Media Access with a Positive Computing Perspective
  • Enhancing the User Interaction of Online Students: Analysis of an Interaction Concept for a Learner Dashboard
  • ARTISTA: Redefining Pottery Design with Virtual Reality and Physically Simulated Clay
  • Performance Evaluation of Visual Analytics Framework for Monitoring Neuromotor Rehabilitation
  • I Feel Safe with the Prediction: The Effect of Prediction Accuracy on Trust
  • Exploring Multimodal Interactions with a Robot Assistant in an Assembly Task: A Human-Centered Design Approach
  • Visual Analysis of Military Diving Incident Reports
  • Visualizing Group Structure in Compound Graphs: The Current State, Lessons Learned, and Outstanding Opportunities
  • Visualization of Swedish News Articles: A Design Study
  • Flowstrates++: An Approach to Visualize Multi-Dimensional OD Data
  • Dashboard Design: Interactive and Visual Exploration of Spotify Songs
  • Fundamental Limitations of Inverse Projections and Decision Maps
  • A Review on Data Terminology in Visual Analytics Tools
  • Visualizing Plasma Physics Simulations in Immersive Environments
  • Quantifying Topic Model Influence on Text Layouts Based on Dimensionality Reductions
  • Using Retrieval Augmented Generation to Build the Context for Data-Driven Stories
  • Simultaneous Optimization of Edge Bundling and Node Layout Using Genetic Algorithm
  • Increasing User Engagement with a Tracking App Through Data Visualizations
  • Particle-Wise Higher-Order SPH Field Approximation for DVR
  • Evaluation of Approximate Reflectional Symmetry
  • Understanding How Different Visual Aids for Augmented Reality Influence Tool-Patient Alignment in Surgical Tasks: A Preliminary Study
  • Scale and Time Independent Clustering of Time Series Data
  • Navigating the Trade-Off Between Explainability and Privacy
  • A Survey on Storytelling Techniques for Heritage on Nazi Persecution
  • Human-Machine Collaboration for the Visual Exploration and Analysis of High-Dimensional Spatial Simulation Ensembles
  • Bringing Objects to Life: Supporting Program Comprehension Through Animated 2.5D Object Maps from Program Traces
  • M&M: Multimodal-Multitask Model Integrating Audiovisual Cues in Cognitive Load Assessment
  • Classification of Towels in a Robotic Workcell Using Deep Neural Networks
  • Online Human Activity Recognition Using Efficient Neural Architecture Search with Low Environmental Impact
  • Diverse Data Selection Considering Data Distribution for Unsupervised Continual Learning
  • Association of Grad-CAM, LIME and Multidimensional Fractal Techniques for the Classification of H&E Images
  • Synthetic Data-Driven Approach for Missing Nut and Bolt Classification in Flange Joints
  • Comprehensive Evaluation of End-to-End Driving Model Explanations for Autonomous Vehicles
  • Uncertainty-Based Detection of Adversarial Attacks in Semantic Segmentation
  • Attention-Based Shape and Gait Representations Learning for Video-Based Cloth-Changing Person Re-Identification
  • Towards Rapid Prototyping and Comparability in Active Learning for Deep Object Detection
  • Class Weighted Focal Loss for Improving Class Imbalance in Semi-Supervised Object Detection
  • Deep Active Learning with Noisy Oracle in Object Detection
  • Efficient Parameter Mining and Freezing for Continual Object Detection
  • Cybersecurity Intrusion Detection with Image Classification Model Using Hilbert Curve
  • Enabling On-Device Continual Learning with Binary Neural Networks and Latent Replay
  • Enhancement-Driven Pretraining for Robust Fingerprint Representation Learning
  • Sumo Action Classification Using Mawashi Keypoints
  • Applying Prompts and Parameter-Efficient Methods to Enhance Single-Stream Vision-Language Transformers
  • Privacy-Preserving Face Recognition in Hybrid Frequency-Color Domain
  • Large Scale Graph Construction and Label Propagation
  • Improving Pseudo-Labelling and Enhancing Robustness for Semi-Supervised Domain Generalization
  • Synthesizing Classifiers from Prior Knowledge
  • Comparative Study Between Object Detection Models, for Olive Fruit Fly Identification
  • StyleHumanCLIP: Text-Guided Garment Manipulation for StyleGAN-Human
  • Investigating the Corruption Robustness of Image Classifiers with Random p-norm Corruptions
  • Exploring the Impact of Knowledge Graphs on Zero-Shot Visual Object State Classification
  • Pixel-Wise Gradient Uncertainty for Convolutional Neural Networks Applied to Out-of-Distribution Segmentation
  • S3Aug: Segmentation, Sampling, and Shift for Action Recognition
  • Enabling RAW Image Classification Using Existing RGB Classifiers
  • Conic Linear Units: Improved Model Fusion and Rotational-Symmetric Generative Model
  • Diffusion-Based Image Generation for In-Distribution Data Augmentation in Surface Defect Detection
  • Generating Videos from Stories Using Conditional GAN
  • Occlusion-Robust and Efficient 6D Pose Estimation with Scene-Level Segmentation Refinement and 3D Partial-to-6D Full Point Cloud Transformation
  • Image Augmentation Preserving Object Parts Using Superpixels of Variable Granularity
  • A Fusion Approach for Enhanced Remote Sensing Image Classification
  • Multi-Task Learning Based on Log Dynamic Loss Weighting for Sex Classification and Age Estimation on Panoramic Radiographs
  • Unsupervised Few-Shot Image Segmentation with Dense Feature Learning and Sparse Clustering
  • Calisthenics Skills Temporal Video Segmentation
  • Exploring Unsupervised Domain Adaptation Approaches for Water Parameters Estimation from Satellite Images
  • Agrinet: A Hyperspectral Image Based Precise Crop Classification Model
  • A Cascade Methodology to Evaluate Black-Box Recognition Systems Based on a Copycat Algorithm
  • AR-VPT: Simple Auto-Regressive Prompts for Adapting Frozen ViTs to Videos
  • Alias-Free GAN for 3D-Aware Image Generation
  • Parts-Based Implicit 3D Face Modeling
  • Anomaly Detection and Localization for Images of Running Paper Web in Paper Manufacturing
  • Anomaly Detection on Roads Using an LSTM and Normal Maps
  • Improved Pest Detection in Insect Larvae Rearing with Pseudo-Labelling and Spatio-Temporal Masking
  • AbSynth: Using Abstract Image Synthesis for Synthetic Training
  • Challenging the Black Box: A Comprehensive Evaluation of Attribution Maps of CNN Applications in Agriculture and Forestry
  • Effects of Model Drift on Ship Detection Models
  • How Quality Affects Deep Neural Networks in Fine-Grained Image Classification
  • SMART-RD: Towards a Risk Assessment Framework for Autonomous Railway Driving
  • Minimalist CNN for Medical Imaging Classification with Small Dataset: Does Size Really Matter and How?
  • Image Augmentation for Object Detection and Segmentation with Diffusion Models
  • Nearest Neighbor-Based Data Denoising for Deep Metric Learning
  • Vehicle Pose Estimation: Exploring Angular Representations
  • RailCloud-HdF: A Large-Scale Point Cloud Dataset for Railway Scene Semantic Segmentation
  • Evaluating Learning Potential with Internal States in Deep Neural Networks
  • Unsupervised Annotation and Detection of Novel Objects Using Known Objectness
  • Reducing Bias in Pre-Trained Models by Tuning While Penalizing Change
  • Mediapi-RGB: Enabling Technological Breakthroughs in French Sign Language (LSF) Research Through an Extensive Video-Text Corpus
  • GAF-Net: Video-Based Person Re-Identification via Appearance and Gait Recognitions
  • Image Generation from Hyper Scene Graphs with Trinomial Hyperedges Using Object Attention
  • Variational Autoencoders for Pedestrian Synthetic Data Augmentation of Existing Datasets: A Preliminary Investigation
  • A Comparative Evaluation of Self-Supervised Methods Applied to Rock Images Classification
  • Detecting Anomalies in Textured Images Using Modified Transformer Masked Autoencoder
  • Beyond the Known: Adversarial Autoencoders in Novelty Detection
  • When Medical Imaging Met Self-Attention: A Love Story That Didn’t Quite Work out
  • Modification of DDIM Encoding for Generating Counterfactual Pathology Images of Malignant Lymphoma
  • CSE: Surface Anomaly Detection with Contrastively Selected Embedding
  • Multi-Task Planar Reconstruction with Feature Warping Guidance
  • Benchmarking Sensitivity of Continual Graph Learning for Skeleton-Based Action Recognition
  • Kore Initial Clustering for Unsupervised Domain Adaptation
  • Depth Estimation Using Weighted-Loss and Transfer Learning
  • Identification of Honeybees with Paint Codes Using Convolutional Neural Networks
  • Conditional Vector Graphics Generation for Music Cover Images
  • Robust Long-Tailed Image Classification via Adversarial Feature Re-Calibration
  • Scale Learning in Scale-Equivariant Convolutional Networks
  • Strategies for Classifier Selection Based on Genetic Programming for Multimedia Data Recognition
  • NeRF-Diffusion for 3D-Consistent Face Generation and Editing
  • Enhanced Deepfake Detection Using Frequency Domain Upsampling
  • Understanding Marker-Based Normalization for FLIM Networks
  • Unsupervised Domain Adaptation for Human Pose Action Recognition
  • High Precision Single Shot Object Detection in Automotive Scenarios
  • CL-FedFR: Curriculum Learning for Federated Face Recognition
  • Most Relevant Viewpoint of an Object: A View-Dependent 3D Saliency Approach
  • Feature Selection Using Quantum Inspired Island Model Genetic Algorithm for Wheat Rust Disease Detection and Severity Estimation
  • Machine Learning in Industrial Quality Control of Glass Bottle Prints
  • Evaluating Multiple Combinations of Models and Encoders to Segment Clouds in Satellite Images
  • SAM-Based Detection of Structural Anomalies in 3D Models for Preserving Cultural Heritage
  • Optimization and Learning Rate Influence on Breast Cancer Image Classification
  • FingerSeg: Highly-Efficient Dual-Resolution Architecture for Precise Finger-Level Semantic Segmentation
  • Beyond Variational Models and Self-Similarity in Super-Resolution: Unfolding Models and Multi-Head Attention
  • Efficient and Accurate Hyperspectral Image Demosaicing with Neural Network Architectures
  • On Granularity Variation of Air Quality Index Vizualization from Sentinel-5
  • Deformable Pose Network: A Multi-Stage Deformable Convolutional Network for 2D Hand Pose Estimation
  • Feature Selection for Unsupervised Anomaly Detection and Localization Using Synthetic Defects
  • Camera Self-Calibration from Two Views with a Common Direction
  • An Image Sharpening Technique Based on Dilated Filters and 2D-DWT Image Fusion
  • Multimodal Crowd Counting with Pix2Pix GANs
  • On the Use of Visual Transformer for Image Complexity Assessment
  • Two Nonlocal Variational Models for Retinex Image Decomposition
  • Pair-GAN: A Three-Validated Generative Model from Single Pairs of Biomedical and Ground Truth Images
  • Oral Dysplasia Classification by Using Fractal Representation Images and Convolutional Neural Networks
  • Colorectal Image Classification Using Randomized Neural Network Descriptors
  • Image Edge Enhancement for Effective Image Classification
  • Investigation of Deep Neural Network Compression Based on Tucker Decomposition for the Classification of Lesions in Cavity Oral
  • Fast and Reliable Inpainting for Real-Time Immersive Video Rendering
  • XYZ Unsupervised Network: A Robust Image Dehazing Approach
  • Multispectral Stereo-Image Fusion for 3D Hyperspectral Scene Reconstruction
  • Facial Point Graphs for Amyotrophic Lateral Sclerosis Identification
  • Identifying Representative Images for Events Description Using Machine Learning
  • Single-Class Instance Segmentation for Vectorization of Line Drawings
  • EBA-PRNetCC: An Efficient Bridge Attention-Integration PoseResNet for Coordinate Classification in 2D Human Pose Estimation
  • Learning Projection Patterns for Direct-Global Separation
  • RecViT: Enhancing Vision Transformer with Top-Down Information Flow
  • Combining Total Variation and Nonlocal Variational Models for Low-Light Image Enhancement
  • Calibration-Accuracy Measurement in Railway Overlapping Multi-Camera Systems
  • Analysis of Scattering Media by High-Frequency Polarized Light Projection Using Polarizing Projector
  • Selection of Backbone for Feature Extraction with U-Net in Pancreas Segmentation
  • A Computer Vision Approach to Compute Bubble Flow of Offshore Wells
  • Robust Denoising and DenseNet Classification Framework for Plant Disease Detection
  • FuDensityNet: Fusion-Based Density-Enhanced Network for Occlusion Handling
  • Image Inpainting on the Sketch-Pencil Domain with Vision Transformers
  • Data Quality Aware Approaches for Addressing Model Drift of Semantic Segmentation Models
  • Blind Deblurring of THz Time-Domain Images Based on Low-Rank Representation
  • Character Identification in Images Extracted from Portuguese Manuscript Historical Documents
  • Training Methods for Regularizing Gradients on Multi-Task Image Restoration Problems
  • Curriculum for Crowd Counting: Is It Worthy?
  • Improving Low-Light Image Recognition Performance Based on Image-Adaptive Learnable Module
  • Convolutional Neural Networks and Image Patches for Lithological Classification of Brazilian Pre-Salt Rocks
  • A Learning Paradigm for Interpretable Gradients
  • Using Extended Light Sources for Relighting from a Small Number of Images
  • Automated Generation of Instance Segmentation Labels for Traffic Surveillance Models
  • The Risk of Image Generator-Specific Traces in Synthetic Training Data
  • Error Analysis of Aerial Image-Based Relative Object Position Estimation
  • Transformer-Based Video Saliency Prediction with High Temporal Dimension Decoding
  • Neural Style Transfer for Vector Graphics
  • ELSA: Expanded Latent Space Autoencoder for Image Feature Extraction and Classification
  • Frames Preprocessing Methods for Chromakey Classification in Video
  • Vision-Perceptual Transformer Network for Semantic Scene Understanding
  • Efficiency Optimization Strategies for Point Transformer Networks
  • Avoiding Undesirable Solutions of Deep Blind Image Deconvolution
  • Large Filter Low-Level Processing by Edge TPU
  • Privacy Preservation in Image Classification Using Seam Doppelganger
  • Instance Segmentation of Event Camera Streams in Outdoor Monitoring Scenarios
  • A Generative Model for Guided Thermal Image Super-Resolution
  • Simple Base Frame Guided Residual Network for RAW Burst Image Super-Resolution
  • Generative Texture Super-Resolution via Differential Rendering
  • SynthRSF: A Novel Photorealistic Synthetic Dataset for Adverse Weather Condition Denoising
  • Teeth Localization and Lesion Segmentation in CBCT Images Using SpatialConfiguration-Net and U-Net
  • A Comparative Analysis of the Three-Alternative Forced Choice Method and the Slider-Based Method in Subjective Experiments: A Case Study on Contrast Preference Task
  • Assessing the Performance of Autoencoders for Particle Density Estimation in Acoustofluidic Medium: A Visual Analysis Approach
  • Dense Light Field Imaging with Mixed Focus Camera
  • SWViT-RRDB: Shifted Window Vision Transformer Integrating Residual in Residual Dense Block for Remote Sensing Super-Resolution
  • Efficient Posterior Sampling for Diverse Super-Resolution with Hierarchical VAE Prior
  • Iterative Saliency Enhancement over Superpixel Similarity
  • RetailKLIP: Finetuning OpenCLIP Backbone Using Metric Learning on a Single GPU for Zero-Shot Retail Product Image Classification
  • Estimation of Package-Boundary Confidence for Object Recognition in Rainbow-SKU Depalletizing Automation
  • Deep Learning-Based Models for Performing Multi-Instance Multi-Label Event Classification in Gameplay Footage
  • Concept Basis Extraction for Latent Space Interpretation of Image Classifiers
  • CaRe-CNN: Cascading Refinement CNN for Myocardial Infarct Segmentation with Microvascular Obstructions
  • Automated Brain Lobe Segmentation and Feature Extraction from Multiple Sclerosis Lesions Using Deep Learning
  • Investigating Color Illusions from the Perspective of Computational Color Constancy
  • SIDAR: Synthetic Image Dataset for Alignment & Restoration
  • Towards Better Morphed Face Images Without Ghosting Artifacts
  • Pre-Training and Fine-Tuning Attention Based Encoder Decoder Improves Sea Surface Height Multi-Variate Inpainting
  • Word and Image Embeddings in Pill Recognition
  • Comparing 3D Shape and Texture Descriptors Towards Tourette’s Syndrome Prediction Using Pediatric Magnetic Resonance Imaging
  • SAMMI: Segment Anything Model for Malaria Identification
  • Estimation of the Inference Quality of Machine Learning Models for Cutting Tools Inspection
  • Probabilistic NeRF for 3D Shape Recovery in Scattered Medium
  • Stereo-Event-Camera-Technique for Insect Monitoring
  • CAVC: Cosine Attention Video Colorization
  • Influence of Pixel Perturbation on eXplainable Artificial Intelligence Methods
  • End-to-End Chess Recognition
  • Deep Learning-Powered Assembly Step Classification for Intricate Machines
  • Analysis of Point Cloud Domain Gap Effects for 3D Object Detection Evaluation
  • Enhancing Object Detection Accuracy with Variational Autoencoders as a Filter in YOLO
  • Event-Based Semantic-Aided Motion Segmentation
  • BEVSeg2TP: Surround View Camera Bird’s-Eye-View Based Joint Vehicle Segmentation and Ego Vehicle Trajectory Prediction
  • Animating NeRFs from Texture Space: A Framework for Pose-Dependent Rendering of Human Performances
  • Multi-View 3D Reconstruction for Construction Site Monitoring
  • Real-Time Detection and Mapping of Crowd Panic Emergencies
  • A Multilevel Strategy to Improve People Tracking in a Real-World Scenario
  • HD-VoxelFlex: Flexible High-Definition Voxel Grid Representation
  • Semantic Image Synthesis for Realistic Image Generation in Robotic Assisted Partial Nephrectomy
  • Semantic State Estimation in Robot Cloth Manipulations Using Domain Adaptation from Human Demonstrations
  • PanoTherm: Panoramic Thermal Imaging for Object Detection and Tracking
  • BASE: Probably a Better Approach to Visual Multi-Object Tracking
  • Incorporating Temporal Information into 3D Hand Pose Estimation Using Scene Flow
  • Evaluation of 3D Point Cloud Distances: A Comparative Study in Multi-Point Cloud Fusion Environments
  • Teacher-Student Models for AI Vision at the Edge: A Car Parking Case Study
  • Physical Ergonomics Anticipation with Human Motion Prediction
  • Toward Multi-Plane Image Reconstruction from a Casually Captured Focal Stack
  • Ontology-Driven Deep Learning Model for Multitask Visual Food Analysis
  • World-Map Misalignment Detection for Visual Navigation Systems
  • ImgAdaPoinTr: Improving Point Cloud Completion via Images and Segmentation
  • Symmetry Completion Test: A Novel Approach for Visual Distortion Mapping and Correction Using Symmetry Constraints
  • Learning 3D Human UV with Loose Clothing from Monocular Video
  • Deep Learning Model Compression for Resource Efficient Activity Recognition on Edge Devices: A Case Study
  • Attacking the Loop: Adversarial Attacks on Graph-Based Loop Closure Detection
  • Anisotropic Diffusion for Depth Estimation in Shape from Focus Systems
  • Direct 3D Body Measurement Estimation from Sparse Landmarks
  • Explainability and Interpretability for Media Forensic Methods: Illustrated on the Example of the Steganalysis Tool Stegdetect
  • A Study of Real World Information Mapping for Information Sharing Using Edge Devices
  • Visual Perception of Obstacles: Do Humans and Machines Focus on the Same Image Features?
  • Robotics and Computer Vision in the Brazilian Electoral Context: A Case Study
  • Reliability and Stability of Mean Opinion Score for Image Aesthetic Quality Assessment Obtained Through Crowdsourcing
  • Enhanced Multimodal Timely Prediction of Pulmonary Fibrosis Progression with Uncertainty Estimation from Chest CT Images and Clinical Metadata
  • Informative Rays Selection for Few-Shot Neural Radiance Fields
  • Finding and Navigating to Humans in Complex Environments for Assistive Tasks
  • Fooling Neural Networks for Motion Forecasting via Adversarial Attacks
  • Microplankton Discrimination in FlowCAM Images Using Deep Learning
  • Detecting Anomalous 3D Point Clouds Using Pre-Trained Feature Extractors
  • Multidimensional Compressed Sensing for Spectral Light Field Imaging
  • Decoding Visual Stimuli and Visual Imagery Information from EEG Signals Utilizing Multi-Perspective 3D-CNN Based Hierarchical Deep-Fusion Learning Network
  • Attentive-YOLO: On-Site Water Pipeline Inspection Using Efficient Channel Attention and Reduced ELAN-Based YOLOv7
  • Are Semi-Dense Detector-Free Methods Good at Matching Local Features?
  • Defying Limits: Super-Resolution Refinement with Diffusion Guidance
  • Automatic Assessment of Skill and Performance in Fencing Footwork
  • Self-Mounted Motion Capture System Using Mutual Projection of Asynchronous Cameras
  • A Tool for 3D Representation of the 2D Thermographic Breast Acquisitions
  • BEVFastLine: Single Shot Fast BEV Line Detection for Automated Parking Applications
  • Diffusion-Inspired Dynamic Models for Enhanced Fake Face Detection
  • Hand Mesh and Object Pose Reconstruction Using Cross Model Autoencoder
  • Automatic Computation of the Posterior Nipple Line from Mammographies
  • Fact-Checked Claim Detection in Videos Using a Multimodal Approach
  • Coreset Based Medical Image Anomaly Detection and Segmentation
  • Towards the Detection of Diffusion Model Deepfakes
  • Deep Discriminative Feature Learning for Document Image Manipulation Detection
  • Multi-View Inversion for 3D-aware Generative Adversarial Networks
  • Recognizing Actions in High-Resolution Low-Framerate Videos: A Feasibility Study in the Construction Sector
  • Augmenting Human-Robot Collaboration Task by Human Hand Position Forecasting
  • On Feasibility of Transferring Watermarks from Training Data to GAN-Generated Fingerprint Images
  • Social Distancing Monitoring by Human Detection Through Bird’s-Eye View Technique
  • Combining Progressive Hierarchical Image Encoding and YOLO to Detect Fish in Their Natural Habitat
  • An Assistive Technology Based on Object Detection for Automated Task List Generation
  • Region-Transformer: Self-Attention Region Based Class-Agnostic Point Cloud Segmentation
  • Evaluating the Usability of a 3D Map Visualizer Augmented Reality Application
  • Behind the Lens: Exploring UV Reflection
  • Visual Insights in Human Cancer Mutational Patterns: Similarity-Based Cancer Classification Using Siamese Networks
  • Important Pixels Sampling for NeRF Training Based on Edge Values and Squared Errors Between the Ground Truth and the Estimated Colors
  • Relationship Between Semantic Segmentation Model and Additional Features for 3D Point Clouds Obtained from on-Vehicle LIDAR
  • Pedestrian's Gaze Object Detection in Traffic Scene
  • Optical Illusion in Which Line Segments Continue to Grow or Shrink by Displaying Two Images Alternately
  • Security, Privacy and the “Human Factor”: Making Sense of the Paradoxes of Security and Privacy Behaviour
  • The Dance of Logic and Unpredictability: Examining the Predictability of User Behavior on Visual Analytics Tasks
  • Automatic Error Correction of GPT-Based Robot Motion Generation by Partial Affordance of Tool
  • Towards Value Awareness in the Medical Field
  • Learning End-to-End Deep Learning Based Image Signal Processing Pipeline Using a Few-Shot Domain Adaptation
  • Prototyping a Low-Cost Flexible Sensor Glove for Diagnostics and Rehabilitation
  • Feature Selection Improves Speech Based Parkinson's Disease Detection Performance
  • Neuromotor Pattern of the Upper Limb in Hygiene Activities Using Electromyography and Accelerometery Technology
  • Real-Time 3D Information Visualization on Mobile Devices: Efficient Occlusion Detection for Geospatial Applications
  • Aggregating Predicted Individual Hospital Length of Stay to Predict Bed Occupancy for Hospitals
  • Exploring the Design of Low-End Technology to Increase Patient Connectivity to Electronic Health Records
  • Hôsea: A Touch Table for Cognitive and Motor Rehabilitation for the Elderly - A Preliminary Study
  • Smart Home Privacy: A Scoping Review
  • Deep Q-Networks for Imbalanced Multi-Class Malware Classification
  • Double Trouble? Impact and Detection of Duplicates in Face Image Datasets
  • Evaluation of K-Means Time Series Clustering Based on Z-Normalization and NP-Free
  • Cycle-Accurate Virtual Prototyping with Multiplicity
  • Lens Flare-Aware Detector in Autonomous Driving
  • Non-Local Context-Aware Attention for Object Detection in Remote Sensing Images
  • AV-PEA: Parameter-Efficient Adapter for Audio-Visual Multimodal Learning
  • Between Gaming and Microclimate Simulations: Temperature Estimation of an Urban Area
  • Learning on Forecasting HIV Epidemic Based on Individuals' Contact Networks
  • The Beyond 5G (B5G) Era of Next-Generation Digital Networks: Preliminary Study of a Task-Technology Fit (TTF) Model for Remote Robotic Surgery Applications
  • Characterization of Telemedicine Patients to Discover Patient Journeys Using Process Mining
  • Automatic Viewpoint Selection for Interactive Motor Feedback Using Principal Component Analysis
  • Assessment of the Detectability of Vulnerable Road Users: An Empirical Study
  • High Throughput Neural Network for Network Intrusion Detection on FPGAs: An Algorithm-Architecture Interaction
  • Enhancing Cybersecurity Through Comparative Analysis of Deep Learning Models for Anomaly Detection
  • Anomaly Detection Methods for Finding Technosignatures
  • Predicting Children's Myopia Risk: A Monte Carlo Approach to Compare the Performance of Machine Learning Models
  • Outage Risks: It is not the Malicious Attacks that Take Down Your Service
  • The Robustness of a Twisted Prisoner’s Dilemma for Incorporating Memory and Unlikeliness of Occurrence
  • Algebraic Structure of Recursively Constructed References and Its Application to Knowledge Base
  • Univariate GARCH Model for Futures Option Pricing: Application to Silver Mini Futures in Indian Commodity Market
  • Painter Profile Clustering Using NLP Features
  • Navigating Social Networks: A Hypergraph Approach to Influence Optimization
  • On the Robustness of Correlation Network Models in Predicting the Safety of Bridges
  • Assessing the Impact of Data Governance on Decision Making in Saudi Arabia
  • Analytical Study on Typeface Visual Identification
  • FaRS: A High-Performance Automorphism-Aware Algorithm for Graph Similarity Matching
  • Evaluating the Multifactorial Effects on SARS-CoV-2 Spread in Tokyo Metropolitan Area with an Agent-Based Model
  • Generative AI for Productivity in Industry and Education
  • Modeling Networks of Interdependent Infrastructure in Complex Urban Environments Using Open-Data
  • Reverse Engineering of Classical-Quantum Programs
  • Human-Centered e-Health Development: An Accessible Visual Modeling Tool
  • Gamification of E-Learning Apps via Acceptance Requirements Analysis
  • An Extensive Analysis of Data Clumps in UML Class Diagrams
  • Conversational Assistants for Software Development: Integration, Traceability and Coordination
  • Ensuring User Privacy in the Digital Age: A Quality-Centric Approach to Tracking and Data Protection
  • An Integrated Visualization Approach Combining Dynamic Data-Flow Analysis with Symbolic Execution
  • Scriptless Testing for an Industrial 3D Sandbox Game
  • Applications Model: A High-Level Design Model for Rich Web-Based Applications
  • Unsupervised Anomaly Detection in Continuous Integration Pipelines
  • Decoding Code Quality: A Software Metric Analysis of Open-Source JavaScript Projects
  • Transforming Data Lakes to Data Meshes Using Semantic Data Blueprints
  • Combining Goal-Oriented and BPMN Modelling to Support Distributed Microservice Compositions
  • A Conceptual Model for Data Warehousing
  • Analyzing MQTT Attack Scenarios: A Systematic Formalization and TLC Model Checker Simulation
  • CC-SolBMC: Condition Coverage Analysis for Smart Contracts Using Solidity Bounded Model Checker
  • Steady-State Energy Consumption Evaluation in BaseBand Units Pool in Cloud Radio Access Network
  • Embracing Unification: A Comprehensive Approach to Modern Test Case Prioritization
  • Industrial Validation of a Neural Network Model Using the Novel MixTCP Tool
  • ChatGPT as a Software Development Bot: A Project-Based Study
  • UICVD: A Computer Vision UI Dataset for Training RPA Agents
  • An Analysis of Privacy Issues and Policies of eHealth Apps
  • Making Application Build Safer Through Static Analysis of Naming
  • Skeet: Towards a Lightweight Serverless Framework Supporting Modern AI-Driven App Development
  • IoTUseCase: A New Concept for the Modeling of Business Information Systems in the Age of IoT
  • Towards a Goal-Oriented Approach for Engineering Digital Twins of Robotic Systems
  • Review Time as Predictor for the Quality of Model Inspections
  • Outlier Detection Through Connectivity-Based Outlier Factor for Software Defect Prediction
  • Exploring the Impact of Dataset Accuracy on Machinery Functional Safety: Insights from an AI-Based Predictive Maintenance System
  • Metrics to Estimate Model Comprehension: Towards a Reliable Quantification Framework
  • Commit Classification into Maintenance Activities Using In-Context Learning Capabilities of Large Language Models
  • Machine Learning-Enhanced Requirements Engineering: A Systematic Literature Review
  • Enriching the Semantic Representation of the Source Code with Natural Language-Based Features from Comments for Improving the Performance of Software Defect Prediction
  • Green Computing Adoption: Understanding the Role of Individual, Social, and Organizational Factors
  • Security and SLA Monitoring for Cloud Services
  • Influential Factors of Software Firms’ Performance in the Industry of Developing Countries
  • 6DVF: A Framework for the Development and Evaluation of Mobile Data Visualisations
  • A Monitoring Methodology and Framework to Partition Embedded Systems Requirements
  • MPED-SCRUM: An Automated Decision-Making Framework Based Measurement for Managing Requirement Change Within the SCRUM Process
  • Considerations in Prioritizing for Efficiently Refactoring the Data Clumps Model Smell: A Preliminary Study
  • Security Testing of RESTful APIs with Test Case Mutation
  • Towards Enhancing Mobile App Reviews: A Structured Approach to User Review Entry, Analysis and Verification
  • Interpolation-Based Learning for Bounded Model Checking
  • pyZtrategic: A Zipper-Based Embedding of Strategies and Attribute Grammars in Python
  • Extract-Transform-Load Process for Recognizing Sentiment from User-Generated Text on Social Media
  • Creating a Trajectory for Code Writing: Algorithmic Reasoning Tasks
  • Automated Software Vulnerability Detection Using CodeBERT and Convolutional Neural Network
  • An Evaluation of the Impact of End-to-End Query Optimization Strategies on Energy Consumption
  • CodeGrapher: An Image Representation Method to Enhance Software Vulnerability Prediction
  • CRAFTER: A Persona Generation Tool for Requirements Engineering
  • Impact of Policies on Organizations Engaged in Partnership
  • ODRL-Based Provisioning of Thing Artifacts for IoT Applications
  • Reinforcement Learning for Multi-Objective Task Placement on Heterogeneous Architectures with Real-Time Constraints
  • Metasurance: A Blockchain-Based Insurance Management Framework for Metaverse
  • Towards a Web Application Attack Detection System Based on Network Traffic and Log Classification
  • Expectation-Based Integration Testing of Unidirectional Interactions in Component-Based Software Systems
  • Taxonomy of Governance Mechanisms for Trust Management In Smart Dynamic Ecosystems
  • PreSTyDe: Improving the Performance of within-project Defects Prediction by Learning to Classify Types of Software Faults
  • Towards a SQL Injection Vulnerability Detector Based on Session Types
  • On the Path to Buffer Overflow Detection by Model Checking the Stack of Binary Programs
  • Review of Evaluations of Enterprise Architecture
  • Prevalence and User Perception of Dark Patterns: A Case Study on E-Commerce Websites of Bangladesh
  • Vector Based Modelling of Business Processes
  • Secure Audio Watermarking for Multipurpose Defensive Applications
  • Uncovering Bad Practices in Junior Developer Projects Using Static Analysis and Formal Concept Analysis
  • Exploring Social Sustainability Alignment in Software Development Projects
  • Exploring Perspectives of Students on Using Mobile Apps to Improve English Vocabulary Through Youtube Videos: A Comparative Study
  • Analysing the Effectiveness of a Social Digital Repository for Learning and Teaching: A Fuzzy Comprehensive Evaluation
  • Association Rule Learning Based Approach to Automatic Generation of Feature Model Configurations
  • IRatePL2C: Importance Rating-Based Approach for Product Lines Collaborative Configuration
  • What Do Customers Demand? Inclusive and Sustainable Entrepreneurial Marketing
  • Applications of Artificial Intelligence in Sustainability Assessment and Risk Management in European Banking
  • Safeguarding Downside Risk in Portfolio Insurance: Navigating Swiss Stock Market Regimes with Options, Trading Signals, and Financial Products
  • Applying Text Analytics Methodology to Analyze Project Reports
  • Internal Audit: Friend or Foe of Innovation in an Organization: Case of Czech Banking Sector
  • Stock Market Forecasting Using Machine Learning Models Through Volatility-Driven Trading Strategies
  • The Impacts of Environmental Context on Technology Adoption and Their Invariance Analysis in Chinese Supply Chains
  • The Recruiting Process as an Attractiveness Factor: How Do Companies Manage to Position Themselves Competitively as Employers?
  • Modeling Organizational Culture, Transformational Leadership, Motivation, Job Satisfaction: Muhammadiyah Aisyiyah College’s Nursing Lecturer
  • Developing a Framework for City Brand-Image Promotion via Social Media Communication
  • Leveraging Multimodal Large Language Models and Natural Language Processing Techniques for Comprehensive ESG Risk Score Prediction
  • Generative AI Risk Management in Digital Economy
  • Research on Incentive Mechanism of Enterprise Personnel's Self-Determined Salary
  • ChatGPT in Higher Education: A Risk Management Approach to Academic Integrity, Critical Thinking, and Workforce Readiness
  • Graph Convolutional Networks for Image Classification: Comparing Approaches for Building Graphs from Images
  • The Evolution of Original ERP Customization: A Systematic Literature Review of Technical Possibilities
  • Making Hard(er) Benchmark Functions: Genetic Programming
  • Information Extraction in the Legal Domain: Traditional Supervised Learning vs. ChatGPT
  • Data-Driven Process Analysis of Logistics Systems: Implementation Process of a Knowledge-Based Approach
  • The Power of Information Visualization for Understanding the Impact of Digital Media Projects
  • A Performance Analysis for Efficient Schema Design in Cloud-Based Distributed Data Warehouses
  • A Knowledge Base of Argumentation Schemes for Multi-Agent Systems
  • From Data to Insights: Research Centre Performance Assessment Model (PAM)
  • Exploring Strategies to Mitigate Cold Start in Recommender Systems: A Systematic Literature Mapping
  • Heterogeneous Data Integration: A Literature Scope Review
  • Extending Semantic RML Mappings with Additional Source Formats
  • Generalizing Conditional Naive Bayes Model
  • What to Do when Privacy Issues Screw It Up: Ingestion Refactoring in a Big-Data Pipeline
  • Text-to-SQL Meets the Real-World
  • An Alternative Way to Analyze and Predict Consonant Clusters Productions in Brazilian Portuguese Phonological Assessments
  • The Traveling Tournament Problem: Rows-First versus Columns-First
  • MfCodeGenerator: A Code Generation Tool for NoSQL Data Access with ONM Support
  • Occupational Accidents Prediction in Brazilian States: A Machine Learning Based Approach
  • EmbedDB: A High-Performance Time Series Database for Embedded Systems
  • GraphVault: A Temporal Graph Persistence Engine
  • Towards an Algorithm-Based Automatic Differentiation of Liability Cases by Analyzing Complaint Texts
  • An Integrated Decision Support System for Intra-Logistics Management with Peripheral Storage and Centralized Distribution
  • A Decision Support System Based on a Mixed-Integer Linear Programming Model for Location of Routers in Open-Pit Mines
  • Improving Explainability of the Attention Branch Network with CAM Fostering Techniques in the Context of Histological Images
  • Analyzing Sepsis Treatment Variations in Subpopulations with Process Mining
  • A Visual Analysis Approach to Static Postural Control Acquired by a Force Plate
  • KluSIM: Speeding up K-Medoids Clustering over Dimensional Data with Metric Access Method
  • Similarity-Slim Extension: Reducing Financial and Computational Costs of Similarity Queries in Document Collections in NoSQL Databases
  • Scoping: Towards Streamlined Entity Collections for Multi-Sourced Entity Resolution with Self-Supervised Agents
  • A Reflective Architecture for Agent-Based Models Applied to Social Network Sites
  • Exploratory Data Analysis in Cloud Computing Environments for Server Consolidation via Fuzzy Classification Models
  • A Comprehensive Blockchain-Based Architecture for Healthcare Systems
  • Artificial Intelligence in Sustainable Smart Cities: A Systematic Study on Applications, Benefits, Challenges, and Solutions
  • Advanced AI-Based Solutions for Visual Inspection: A Systematic Literature Review
  • Exploring Implementation Parameters of Gen AI in Companies
  • X-GAN: Generative Adversarial Networks Training Guided with Explainable Artificial Intelligence
  • A Framework for Organisational Readiness Assessment in Digital Business Ecosystems Engagement
  • An Evaluation of Pre-Trained Models for Feature Extraction in Image Classification
  • Recommendation Systems: A Deep Learning Oriented Perspective
  • Out of Sesame Street: A Study of Portuguese Legal Named Entity Recognition Through In-Context Learning
  • Explainable Machine Learning for Alarm Prediction
  • Optimizing Planning Strategies: A Machine Learning Forecasting Model for Energy Aggregators and Hydropower Producers
  • Architecture for Stablecoins with Cross-Chain Interoperability
  • Knowledge Graph Generation from Text Using Supervised Approach Supported by a Relation Metamodel: An Application in C2 Domain
  • Enhancement of the Online Presence of Small and Medium Sized Enterprises with Minimum Impact on Traditional Business Activities in Towns and Cities
  • Optimizing Natural Language Processing Applications for Sentiment Analysis
  • multiBERT: A Classifier for Sponsored Social Media Content
  • Advancing Industry 4.0: Integrating Data Governance into Asset Administration Shell for Enhanced Interoperability
  • APOENA: Towards a Cloud Dimensioning Approach for Executing SQL-like Workloads Using Machine Learning and Provenance
  • Exploring Popular Software Repositories: A Study on Sentiment Analysis and Commit Clustering
  • A Systematic Mapping on Software Aging and Rejuvenation Prediction Models in Edge, Fog and Cloud Architectures
  • A Machine Learning Workflow to Address Credit Default Prediction
  • Identification and Attribution of Access Roles Using Hierarchical Team Permission Analysis
  • An Open-Source Approach for Digital Prostate Cancer Histopathology: Bringing AI into Practice
  • A Regression Deep Learning Approach for Fashion Compatibility
  • Deepbrokenhighways: Road Damage Recognition System Using Convolutional Neural Networks
  • Swarm Intelligence Path-Planning Pipeline and Algorithms for UAVs: Simulation, Analysis and Recommendation
  • Machine Learning Support for Time-Efficient Processing Dangerous Driving Detection Using Vehicle Inertial Data
  • Bibliometric Insights into Web Scraping and Advanced AI-Based Models for Valuable Business Data
  • Towards Collective Superintelligence: Amplifying Group IQ Using Conversational Swarms
  • Toward Air Quality Fuzzy Classification
  • CWM Extensions for Knowledge and Metadata Integration for Complex Data Warehouse and Big Data
  • A Hybrid Framework for Resource-Efficient Query Processing by Effective Utilization of Existing Resources
  • Knowledge-Based Systems for Strengthening African Health Systems
  • Explainable Business Intelligence for Video Analytics in Retail
  • A Fuzzy-Genetic Multi-Objective Optimization Method Applied to Deployment of Routers in Agricultural Crop Areas
  • SpectraNet: A Neural Network for Soybean Contents Prediction
  • My Database User Is a Large Language Model
  • Analyzing Spatial Data with Heuristics Methods and Ensemble: A Case Study of Vehicle Routing Problem
  • From Tracking Lineage to Enhancing Data Quality and Auditing: Adding Provenance Support to Data Warehouses with ProvETL
  • Embedding a Data-Driven Decision-Making Work Culture in a Social Housing Environment
  • The Power of Gyroscope Data: Advancing Human Movement Analysis for Walking and Running Activities
  • Designing and Building a Low-Cost IoT Solution for Natural Disaster Monitoring and Mitigation: An Experience Report
  • Bridging Human and AI Decision-Making with LLMs: The RAGADA Approach
  • A Methodology for Constructing Patterns for the Management of Data Science Projects
  • Using Soft Computing and Computer Vision to Create and Control an Integrated Autonomous Robotic Manipulator Process
  • The Future of Oil and Gas Offloading: Leveraging Blockchain for Enhanced Transparency and Efficiency
  • An Information System for Training Assessment in Sports Analytics
  • A Unified Teaching Platform for (No)SQL Databases
  • Diffusion Model for Generating Synthetic Contrast Enhanced CT from Non-Enhanced Heart Axial CT Images
  • A Comparative Analysis of EfficientNet Architectures for Identifying Anomalies in Endoscopic Images
  • Coping with Artificial Intelligence Ethical Dilemma and Ethical Position Choices?
  • Building Damage Segmentation After Natural Disasters in Satellite Imagery with Mathematical Morphology and Convolutional Neural Networks
  • Glaucoma Detection Using Transfer Learning with the Faster R-CNN Model and a ResNet-50-FPN Backbone
  • On the Current State of Generative Artificial Intelligence: A Conceptual Model of Potentials and Challenges
  • Use of Custom Videogame Dataset and YOLO Model for Accurate Handgun Detection in Real-Time Video Security Applications
  • Empowering Multidimensional Machine Learning over Cloud- Enabled Big Data Infrastructures with ClustCube
  • Implementation of Composable Enterprise in an Evolutionary Way Through Holistic Business-IT Delivery of Business Initiatives: Real Industry Use Case
  • Hydrocyclone Operational Condition Detection: Conceptual Prototype with Edge AI
  • Studying Trustworthiness of Neural-Symbolic Models for Enterprise Model Classification via Post-Hoc Explanation
  • Integrated Data Repository System: Fusion, Learning and Sharing
  • A New Product’s Demand Forecasting Using Artificial Neural Network
  • Exploring Applicability of LLM-Powered Autonomous Agents to Solve Real-life Problems: Microsoft Entra ID Administration Agent (MEAN)
  • An Extension of Orbslam for Mobile Robot Using Lidar and Monocular Camera Data for SLAM Without Odometry
  • Generation of Breaking News Contents Using Large Language Models and Search Engine Optimization
  • Optical Character Recognition Based-On System for Automated Software Testing
  • Datasets on Mobile App Metadata and Interface Components to Support Data-Driven App Design
  • Professional Insights into Benefits and Limitations of Implementing MLOps Principles
  • RAMOM: A Reference Architecture for Manufacturing Operations Management Activities in Industry 4.0
  • Greener Information Systems for Product Configuration Management: Towards Adaptation to Sustainability Requirements
  • An Architecture Framework for Higher Education
  • Industry 4.0: Wearable IoT Device Applied to Warehouse Management
  • CarbonSECO for Livestock: A Service Suite to Help in Carbon Emission Decisions
  • Data Quality Assessment for the Textile and Clothing Value-Chain Digital Product Passport
  • Towards an Eco-Gamification Platform to Engage Consumers in the Textile & Clothing Circular Economy
  • A Distributed Processing Architecture for Disease Spread Analysis in the PDSA-RS Platform
  • Operator Fatigue Detection via Analysis of Physiological Indicators Estimated Using Computer Vision
  • Challenges in Reverse Engineering of C++ to UML
  • Forecasting of Key Performance Indicators Based on Transformer Model
  • Data Discovery and Indexing for Semi-Structured Scientific Data
  • Challenges of Trustworthy of Digital Evidence and Its Chain of Custody on Cloud Computing Environment: A Systematic Review
  • Development of a Ship Mooring Inspection Winch Tool with Extended Reality
  • Exploring the Pros and Cons of Monolithic Applications versus Microservices
  • A Rule-Based Log Analysis Approach for State-Machine Governed Systems
  • Can Personality Types Be Blamed for Code Smells?
  • Business Process Improvements in Hierarchical Organizations: A Case Study Focusing on Collaboration and Creativity
  • Redefining Data Governance: Insights from the French University System
  • Towards Legal Interoperability in International Data Spaces
  • Six Board Roles for Information Security Governance
  • Validation and Refinement of Usability Heuristics for Interactive Web Maps
  • Process and Challenges in Designing Data Registration via File Import in an Administrative e-Commerce System
  • Validation and Clarification of Critical Success Factors of DevOps Processes
  • Ontology to Define Sizing Screw Joints for Mechanical Engineering Applications
  • Effective People Management Practices for Software Project Success
  • The Influences of Employees' Emotions on Their Cyber Security Protection Motivation Behaviour: A Theoretical Framework
  • Investigating Entry-Level Software Project Managers’ Skills and Responsibilities: An Empirical Analysis of LinkedIn Job Ads
  • A Method for Marketing and Sales Optimization of Enterprise Software Applications
  • Enabling Sustainability Due Diligence in Value Chains Through DLT-Based Governance
  • Evaluating the Acceptance and Quality of a Usability and UX Evaluation Technology Created for the Multi-Touch Context
  • Modernization of Legacy Systems to Microservice Architecture: A Tertiary Study
  • On the Integration of Privacy-Enhancing Technologies in the Process of Software Engineering
  • Project Management in Large-Scale with International Settings: Challenges Faced with Multiculturalism
  • Validating a Practical Method for Planning Co-Evolution of Business and IT in a Public Sector Organisation
  • Micro Frontend-Based Development: Concepts, Motivations, Implementation Principles, and an Experience Report
  • Exploring Interaction Mechanisms and Perceived Realism in Different Virtual Reality Shopping Setups
  • Understanding the Interplay Between Startups and Accelerators for Early-Stage Resource Mobilization
  • Advanced VR Calibration for Upper Limb Rehabilitation: Making Immersive Environments Accessible
  • Crafting a Journey into the past with a Tangible Timeline Game: Net Als Toen as a Tool to Enhance Reminiscence in Elderly with Alzheimer's Disease
  • Enhancing Scientific Communication: Prioritizing User Experience in Audiovisual Interfaces
  • Challenges in Metaverse Adoption on People, Process, and Technology Perspectives: A Review from the Five past Years
  • AI Technology Adoption & Sustainability Improvement Though Cloud Solutions
  • Towards a Link Mapping and Evaluation Approach for Core Operational Business-IT Alignment
  • Balancing Autonomy and Control: An Adaptive Approach for Security Governance in Large-Scale Agile Development
  • Deep Convolutional Neural Network and Character Level Embedding for DGA Detection
  • Exploring Usability and User Experience Evaluation Methods: A Tertiary Study
  • Guiding the Adoption of UX Research Practices: An Approach to Support Software Professionals
  • The Role of Digital Artifacts in Fostering Ecosystem Creation
  • Can a Chatbot Support Exploratory Software Testing? Preliminary Results
  • Carbon-Aware Process Execution for Green Business Process Management
  • Cross-Domain Classification of Domain Entities into Top-Level Ontology Concepts Using BERT: A Study Case on the BFO Domain Ontologies
  • Usability and User Experience Questionnaire Evaluation and Evolution for Touchable Holography
  • Supporting User-Centered Requirements Elicitation from Lean Personas: A UX Data Visualization-Based Approach
  • Testing on Dynamically Adaptive Systems: Challenges and Trends
  • Speeding Up the Simulation Animals Diseases Spread: A Study Case on R and Python Performance in PDSA-RS Platform
  • The Usability of Persistent and non-Persistent Headers on Web Pages
  • An Architectural Viewpoint for Managing BizDevOps Software Projects
  • Prediction of the Employee Turnover Intention Using Decision Trees
  • Managing Adverse Commentary on Social Media: A Case Study of an Australian Health Organisation
  • Model-Based Auto-Commissioning of Building Control Systems
  • Virtual Reality-Based Adapted Handball Serious Game for Upper Limb Rehabilitation in Spinal Cord Injured Patients
  • Design Analysis of Smart Water Meters: An Open Design Approach
  • Conformance Checking on Timed Automaton Process Models
  • A Formal Execution Semantics for Sophisticated Dynamic Jumps Within Business Processes
  • Enterprise Architecture Governance of Excellence
  • An Enterprise Architecture Approach to Semantic Blockchain Interoperability
  • Requirements Engineering for Continuous Queries on IoRT Data: A Case Study in Agricultural Autonomous Robots Monitoring
  • Anxiety and EEG Frontal Theta-Beta Ratio Relationship Analysis Across Personality Traits During HDR Affective Videos Experience
  • Health Scores for Generating Health-Respecting Shift Plans by Means of an Expert System from the Perspective of Care Organisations
  • Enhancing Predictive Modeling in Emergency Departments
  • How Can Open Educational Resources Promote Equity in Education?
  • A Neural Network for Automatic Handwriting Extraction and Recognition in Psychodiagnostic Questionnaires
  • Outside the Box: Exploring Determinants for Participation in a Digitally Enhanced Remote Museum Visit for Older Adults
  • A Falls Risk Screening Tool Based on Millimetre-Wave Radar
  • Improving the Digital Literacy and Social Participation of Older Adults: An Inclusive Platform that Fosters Intergenerational Learning
  • Developing a Structural Standard for Smart Contract Electronic Health Records Based on the HL7 Fast Healthcare Interoperability Resources
  • Missing Data Imputation in Daily Wearable Data for Improved Classification Performance
  • Incorporating Cognitive Training with Elderly People’s Everyday Use of Smartphones
  • Advantages and Challenges of Using AI for People with Disabilities
  • Adoption of Digital Health Technologies in Supported Living Services
  • A Tailored Internet of Things Lighting Solution to Support Circadian Rhythms and Wellbeing for People Living with Dementia
  • Hidden Roles of Students and Digital Health Applications in the Field of Mental Health: A Study Protocol for a Prospective Study on Hidden Social Roles with Focus on Informal Relatives, Mental Health, Sleep, and Digital Health Applications
  • Real-Time CNN Based Facial Emotion Recognition Model for a Mobile Serious Game
  • A Regression Based Approach for Leishmaniasis Outbreak Detection
  • Design of BCI-Based Exoskeleton System for Knee Rehabilitation
  • Applying Multiple Instance Learning for Breast Cancer Lesion Detection in Mammography Images
  • hospOS: A Platform for Service Robot Orchestration in Hospitals
  • Recommendations for Designing Information for People with Dementia: Protocol for a Scoping Review
  • Improving Accessibility with Gamification Strategies: Development of a Prototype App
  • Contactless Physiology Radars to Promote Healthy Ageing via Remote Tracking: The Need for IoT Context
  • Towards the Standardization of Disease Registry Form Structure
  • Integrating Virtual Reality in Cognitive Training of Older Adults Without Cognitive Impairment: A Systematic Review of Randomized Controlled Trials
  • Contextualizing Syntactic Interoperability Data Standards for Health Information Exchange in Uganda's Public Healthcare System
  • Conceptualizing the Active Ageing Index (AAI): A Systematic Literature Review of Frameworks and Supporting Digital Tools
  • Advancements in the Understanding of What Wellbeing at Very Old Age Is: An Exploratory Study
  • New Insights into the end-User Requirements for Remote Monitoring for Aging at Home Contributions to the Third Digital Divide
  • A Novel Approach in Testing Life-Monitoring Technologies for Ageing in Place: A Focus on Fall Detection and Behavioural Alerts
  • Insights from Co-Design of Underwater Telepresence and Extended Reality Technologies with Digitally Excluded Older Adults
  • HOMEFUS: A Privacy and Security-Aware Model for IoT Data Fusion in Smart Connected Homes
  • A Systematic Mapping Study on Techniques for Generating Test Cases from Requirements
  • A Systematic Mapping Study in Security Software Testing for Mobile Devices
  • IoTective: Automated Penetration Testing for Smart Home Environments
  • Automation of Smart Homes with Multiple Rule Sources
  • Advancements in Household Data Mining: Fine-Tuning of Usage Pattern Inference Pipeline
  • Data Sets for Cyber Security Machine Learning Models: A Methodological Approach
  • Credential Lifecycle Analysis in Private LoRaWAN Networks for Industrial IoT (IIoT)
  • Context Data Compact Prediction Tree (CD-CPT): Transforming User Experience Through Predictive Analysis
  • How Is Starlink Manoeuvring? An Analysis of Patterns in the Manoeuvres of Starlink Satellites
  • Hybrid Statistical Modeling for Anomaly Detection in Multi-Key Stores Based on Access Patterns
  • IndraFlow: Seamless Data Transfer and Transformation Between Internet of Things, Robot Systems and Cloud-Native Environments
  • Need for Speed: Leveraging the Power of Functional Encryption for Resource-Constrained Devices
  • Revolutionizing Vehicle Damage Inspection: A Deep Learning Approach for Automated Detection and Classification
  • Tile Quality Detection Device: Internet of Things (IoT) Demonstration Prototype
  • Towards a Write once Run Anywhere Approach in End-User IoT Development
  • A Framework Addressing Challenges in Cybersecurity Testing of IoT Ecosystems and Components
  • Sample-Based Cardinality Estimation in Full Outer Join Queries
  • Interoperable Access and Usage Control of Self-Sovereign Digital Twins Using ODRL and I4.0 Language
  • Navigating the CRA: A Brief Analysis of European Cyber Resilience Act and Resulting Actions for Product Development
  • Lite4More: A Hardware and Software Solution to Improve the Commissioning of Lighting Infrastructures
  • UoCAD: An Unsupervised Online Contextual Anomaly Detection Approach for Multivariate Time Series from Smart Homes
  • Secure Decentralized Carpooling Application Using Blockchain and Zero Knowledge Proof
  • An Intrusion Detection Architecture Based on the Energy Consumption of Sensors Against Energy Depletion Attacks in LoRaWAN
  • Classification and Prediction of Hypoglycemia in Patients with Type 2 Diabetes Mellitus Using Data from the EHR and Patient Context
  • XA4AS: Adaptive Security for Multi-Stage Attacks
  • Ransomware Reconnaissance: Interrogating Certificates Towards Proactive Threat Mitigation
  • Decentralized Ransomware Recovery Network: Enhancing Resilience and Security Through Secret Sharing Schemes
  • Industrial Internet of Things for Assembly Line Worker’s Work Fatigue Recognition
  • Comparing On-Premise IoT Platforms: Empowering University of Things Ecosystems with Effective Device Management
  • Privacy Sensitive Building Monitoring Through Generative Sensors
  • Emergency Corridor Building on Multi-Lane Motorways with Autonomous Model Cars
  • Optimising Data Processing in Industrial Settings: A Comparative Evaluation of Dimensionality Reduction Approaches
  • Low-Performance Embedded Internet of Things Devices and the Need for Hardware-Accelerated Post-Quantum Cryptography
  • Enhancing Hydroponic Farming Productivity Through IoT-Based Multi-Sensor Monitoring System
  • Overcoming the Complexity of Quality Assurance for Big Data Systems: An Examination of Testing Methods
  • Architectures of Contemporary Information Systems and Legal/Regulatory Environment
  • Business Intelligence Reporting by Linguistic Summaries for Smart Cities: A Case on Explaining Bicycle Sharing Patterns
  • A Hybridized Scheme for Solving Ridesharing Problems Based on Firefly Algorithm and a Variant of PSO Algorithm
  • Generation of H&E-Stained Histopathological Images Conditioned on Ki67 Index Using StyleGAN Model
  • Teaching Practice Using ChatGPT in Higher Education
  • Squeezing the Lemon: Using Accident Analysis for Recommendations to Improve the Resilience of Telecommunications Organizations
  • Understanding the Factors Influencing Self-Managed Enterprises of Crowdworkers: A Comprehensive Review
  • Indescribably Blue: Bluetooth Low Energy Threat Landscape
  • Extending PriPoCoG: A Privacy Policy Editor for GDPR-Compliant Privacy Policies
  • Can a Simple Approach Perform Better for Cross-Project Defect Prediction?
  • Enhancing Interaction with Data Lakes Using Digital Twins and Semantic Blueprints
  • Combining Clustering Algorithms to Extract Symmetric Clusters from Noisy Data, Applied to Parking Lots
  • Connecting Issue Tracking Systems and Continuous Integration / Continuous Delivery Platforms for Improving Log Analysis: A Tool Support
  • Energy and Cost-Aware Real-Time Task Scheduling with Deadline-Constraints in Fog Computing Environments
  • State-Aware Application Placement in Mobile Edge Clouds
  • ALASCA: Function-Driven Advanced Access Control for Big Cold Data
  • On Detecting Malicious Code Injection by Monitoring Multi-Level Container Activities
  • Feather: Lightweight Container Alternatives for Deploying Workloads in the Edge
  • Value for Money: An Experimental Comparison of Cloud Pricing and Performance
  • Pruning Modes for Deployment Models: From Manual Modeling to Automated Removal of Elements and Their Implications
  • Task Offloading in Edge-Cloud Computing Using a Q-Learning Algorithm
  • Creek: Leveraging Serverless for Online Machine Learning on Streaming Data
  • Service Weaver: A Promising Direction for Cloud-Native Systems?
  • Tail-Latency Aware and Resource-Efficient Bin Pack Autoscaling for Distributed Event Queues
  • IoT Devices Overhead: A Simulation Study of eHealth Solutions over a Hospitals’ Network
  • Enhancing SPIFFE/SPIRE Environment with a Nested Security Token Model
  • Visualizing the Information Security Maturity Level of Public Cloud Services Used by Public Administrations
  • Model-Driven End-to-End Resolution of Security Smells in Microservice Architectures
  • Hosting-Aware Pruning of Components in Deployment Models
  • Balancing Performance and Aging in Cloud Environments
  • CacheFlow: Enhancing Data Flow Efficiency in Serverless Computing by Local Caching
  • Towards a General Metric for Energy Efficiency in Cloud Computing Data Centres: A Proposal for Extending of the ISO/IEC 30134-4
  • Don't Train, Just Prompt: Towards a Prompt Engineering Approach for a More Generative Container Orchestration Management
  • Responsible Information Sharing in the Era of Big Data Analytics Facilitating Digital Economy Through the Use of Blockchain Technology and Observing GDPR
  • Optimizing Service Placement in Edge-to-Cloud AR/VR Systems Using a Multi-Objective Genetic Algorithm
  • Benefits of Dynamic Computational Offloading for Mobile Devices
  • On Maintainability and Microservice Dependencies: How Do Changes Propagate?
  • Towards Image-Based Network Traffic Pattern Detection for DDoS Attacks in Cloud Computing Environments: A Comparative Study
  • Improving Edge-AI Image Classification Through the Use of Better Building Blocks
  • Uncertainty Estimation in Multi-Agent Distributed Learning for AI-Enabled Edge Devices
  • A Logic Programming Approach to VM Placement
  • Systematic Threat Modelling of High-Performance Computing Systems: The V:HPCCRI Case Study
  • Towards a Cost-Benefit Analysis of Additive Manufacturing as a Service
  • Integrating Secure Multiparty Computation into Data Spaces
  • Lapse: Latency & Power-Aware Placement of Data Stream Applications on Edge Computing
  • Load-Aware Container Orchestration on Kubernetes Clusters
  • Towards a Cloud-Based Smart Office Solution for Shared Workplace Individualization
  • Harnessing the Computing Continuum Across Personalized Healthcare, Maintenance and Inspection, and Farming 4.0
  • Prediction of Resource Utilisation in Cloud Computing Using Machine Learning
  • A Community-Based Support Scheme to Promote Learning Mobility: Practices in Higher Education in Southeast Asia and Japan
  • High-Fidelity Simulation Pre-Briefing with Digital Quizzes: Using INACSL Standards for Improving Effectiveness
  • Designing Stemie, the Evolution of the Kid Grígora Educational Robot
  • A Pipeline for the Automatic Evaluation of Dental Surgery Gestures in Preclinical Training from Captured Motions
  • Brick by Brick: Exploring the Influence of LEGO SERIOUS PLAY on Master's Students' Digital Transformation Proposals
  • Building Suitable Observation Points to Enhance the Learner’s Perception of Information in Virtual Environment for Gesture Learning
  • Explainable AI for Unsupervised Machine Learning: A Proposed Scheme Applied to a Case Study with Science Teachers
  • Developing Design Principles for Computational Thinking Learning Environments: Pathways into Practice with Physical Computing
  • OER-Enabled Pedagogy with Multipurpose Digital LMS-Quiz-Activities for Mathematics
  • EduColl: A Collaborative Design Approach Based on Conflict Resolution for the Assessment of Learning Resources
  • Guiding the Integration of Multimodal Learning Analytics in the Glocal Classroom: A Case Study Applying MAMDA
  • Individual Business Simulation Games as a Service: Towards a Concept for Adaptive ERP Education
  • Unveiling the Potential: Assessing the Role of SSI Wallets in Promoting Sustainability in Federated Learning Environments
  • Disability Racer: A Digital Game for Raising Awareness of Ophthalmological: Related Issues
  • Ad-Hoc Assessment for Microlearning Units in Competency-Based Learning Paths in Learning Management Systems
  • Graphical Recognition of Antiderivatives: Analysis of Different Strategies Reflecting Level of Expertise Using Eye-Tracker Tool
  • Exploring the Significance of 360-Degree Video Technology on Fieldwork Learning in Higher Education: Students' Perspectives
  • Innovation or Imitation? A Critical Analysis of AI-Authored vs. Human-Authored Scientific Papers
  • Prototyping Educational and Scientific Devices with a Custom Python Library for Lego Robot Inventor 5in1 Mindstorms Kit: A Leap Motion Integration Case Study
  • Decoding the Gap: A Retrospective Analysis of Women’s Experiences in Software Engineering
  • Enhancing Participation Through Inquiry Learning and Citizen Science: Science for Everyone
  • Metaverse4Deaf: Assistive Technology for Inclusion of People with Hearing Impairment in Distance Education Through a Metaverse-Based Environment
  • Demonstration Experiment of Decentralized Learning Within Traditional Decentralized Education
  • Effects of Information Granularity on Health Education: An Artificial Intelligence-Based Situational R-Map Analysis
  • Teachers’ Perception of AI and Their Attitudes Towards AI
  • A Proposal for Assessing Digital Maturity in French Primary Education: Design of Tools and Methods
  • Using the Open Source Collaborative Model for Digital Educational Content
  • Mathkinetics: Solving Arithmetics While Running out of Breath
  • Students Want to Experiment While Teachers Care More About Assessment! Exploring How Novices and Experts Engage in Course Design
  • PyResolveMetrics: A Standards-Compliant and Efficient Approach to Entity Resolution Metrics
  • Sustainable Learning Analytics: Measuring and Understanding the Drivers of Energy Consumption of AI in Education
  • Towards LLM-Based Autograding for Short Textual Answers
  • Validity Claims in Children-AI Discourse: Experiment with ChatGPT
  • Exploring the Impact of Covid-19 Pandemic on the Online Learning Experience of Higher Education Students in Morocco
  • Implementing Learning Analytic Systems in Educational Institutions: The Importance of Transparent Information for User Acceptance
  • Requirements for an Online Integrated Development Environment for Automated Programming Assessment Systems
  • Humour in Educational Robots: Investigating the Effects of Humour in a Robot-Led Scrumban Simulation in Business Education
  • Bridging Skills and Scenarios: Initial Steps Towards Using Faded Worked Examples as Personalized Exercises in Vocational Education
  • Analysis of Student-Problems While Working with Physical Computing Devices
  • ImGame: An Immersive Educational Environment to Teach Contemporary Art
  • Tangible or Digital? A Comparison Between Two Tools for Designing Asymmetric Role-Playing Games for Learning
  • Virtual3R: A Virtual Collaborative Platform for Animal Experimentation
  • Perceptions of Entrepreneurship Among Graduate Students: Challenges, Opportunities, and Cultural Biases
  • The Role of Privacy and Security Concerns and Trust in Online Teaching: Experiences of Higher Education Students in the Kingdom of Saudi Arabia
  • Navigating Educational Frontiers in the AI Era: A Teacher’s Autoethnography on AI-Infused Education
  • TransLaboration: An Online Collaborative Learning Environment with Socially Shared Regulation Prompts in Translation Classroom
  • Aesthetics as a Decisive and Motivational Factor for Online Training
  • Broaden Your Horizon! Play with Semantics via a Knowledge Graph-Based Approach
  • Spread the Word! BaLex, A Gamified Lexical Database for Collaborative Vocabulary Learning
  • Interactive Math Explorations Using the Game-Based Application MatematiX
  • Peephole Technology for Mobile Collaborative Learning: An In- Classroom Exploratory Study
  • Teaching Assistants as Assessors: An Experience Based Narrative
  • Piloting Case Studies of Technology-Enhanced Innovative Pedagogies in Four European Higher Education Institutions
  • Let’s Choose STEM: An Overview on Study Program Guiding Online Self-Assessments and Future Directions
  • Play Testing and Reflective Learning AI Tool for Creative Media Courses
  • Shorter Texts, Less Scrolling, More Visual Support for Younger Learners: Low-Threshold GDPR Conform Registration Form with Double Opt-In for the Learning Management System Moodle
  • Expanding Code Assessment: A Qualitative Feedback System for Beginning Students
  • A Framework for Intelligent Virtual Reality Tutoring System Using Semantic Web Technology
  • AI-Enabled Art Education: Unleashing Creative Potential and Exploring Co-Creation Frontiers
  • Using Trace Clustering to Group Learning Scenarios: An Adaptation of FSS-Encoding to Moodle Logs Use Case
  • Analysing Learner Strategies in Programming Using Clickstream Data
  • On the Relation Between Open Project-Based Learning in Undergraduate Computer Science Education and Contemporary Technological Trends
  • AI-Powered Personalised Learning Platforms for EFL Learning: Preliminary Results
  • The Perceived Learning Behaviors and Assessment Techniques of First-Year Students in Computer Science: An Empirical Study
  • Empowering Students: A Reflective Learning Analytics Approach to Enhance Academic Performance
  • About the Quality of a Course Recommender System as Perceived by Students
  • A Code Distance Approach to Measure Originality in Computer Programming
  • The Use of Self-Regulation of Learning in Recommender Systems: State-of-the-Art and Research Opportunities
  • Towards an Online Incremental Approach to Predict Students Performance
  • Shaping an Adaptive Path on Analytic Geometry with Automatic Formative Assessment and Interactive Feedback
  • Investigating the Impact of Code Generation Tools (ChatGPT & Github CoPilot) on Programming Education
  • Adaptation in Learning Analytics Dashboards: A Systematic Review
  • Advancing Educational Analytics Using Machine Learning in Romanian Middle School Data
  • Content and Skills for Teaching BPM in Computer Science Courses: A Systematic Mapping Study
  • Detecting Speech Disfluencies Using Open-Source Tools in Automatic Feedback Systems for Oral Presentation Training
  • Shifting from Traditional to Alternative Assessment Methods in Higher Education: A Case Study of Norwegian and Italian Universities
  • On Few-Shot Prompting for Controllable Question-Answer Generation in Narrative Comprehension
  • User Story Tutor (UST) to Support Agile Software Developers
  • Weakly Supervised Short Text Classification for Characterising Video Segments
  • Computer Science Attitude as a Descriptor to Understand Inclusion in Non-Conventional Learning Experiences
  • Application of Minecraft: Education in Mathematics and CMIT Classes, Examples and Practices
  • Gamifying Environmental Education: A Primary School Perspective Through a Serious Game
  • AI Literacy for Cultural and Design Studies
  • Mining Sequential Patterns in Classroom Discourse: Insights from Visualization-Supported Primary Instruction
  • Digital Citizenship Exercises
  • Impact of Team Formation Type on Students' Performance in PBL-Based Software Engineering Education
  • AI-Generated Programming Solutions: Impacts on Academic Integrity and Good Practices
  • Learning-Support Method for Professional Shogi Players Using Emotions of Others
  • Influence of Students’ Choice of Examination Format on Examination Results
  • Systematization of Competence Assessment in Higher Education: Methods and Instruments
  • Facilitating Competence-Oriented Qualification in New Work: Evaluation of a Platform Prototype
  • Large Language Models in Civic Education on the Supervision and Risk Assessment of Public Works
  • Efficient Learning Processes by Design: Analysis of Usage Patterns in Differently Designed Digital Self-Learning Environments
  • Student Perspectives on Ethical Academic Writing with ChatGPT: An Empirical Study in Higher Education
  • Learner Models: A Systematic Literature Research in Norms and Standards
  • Opportunities and Challenges of AI to Support Student Assessment in Computing Education: A Systematic Literature Review
  • An Approach Based on Learning by Teaching to Support the Vertical Alignment of the Educational Robotics Curriculum
  • Addressing Educational Disparities: Assessing the Gap for Indigenous Community
  • Using the Robot-Assisted Attention-Engagement-Error-Feedback- Reflection (AEER) Pedagogical Design to Develop Machine Learning Concepts and Facilitate Reflection on Learning-to-Learn Skills: Evaluation of an Empirical Study in Hong Kong Primary Schools
  • A Proposed TPACK Model of Teaching STEM with AI Components: Evaluating a Teacher Development Course for Fostering Digital Creativity
  • Teaching Conscious Capitalism in Higher Education: Learning Experience and Paradigm Shift
  • Formation of Study Groups: Exploring Students’ Needs and Practical Challenges
  • Leveraging NLP and Machine Learning for English (L1) Writing Assessment in Developmental Education
  • Development of an Instrument for Evaluating Learning Experiences in a Hybrid Learning Environment
  • Examining the Utilization of Artificial Intelligence Tools by Students in Software Engineering Projects
  • Can Diversity, Equity, and Inclusion (DEI) Espouse Through Social Constructivism? A Dynamically-Designed Multimedia Content Creation Programme for High School Students in Japan
  • What Will I Need this for Later? Towards a Platform for the Discovery of Intra and Inter-Module Content Relations
  • Programming Contests as Complementary Activities in University Programming Courses
  • From Theory to Training: Exploring Teachers' Attitudes Towards Artificial Intelligence in Education
  • A Learning Analytics Dashboard for Improved Learning Outcomes and Diversity in Programming Classes
  • Creating an Academic Prometheus in Brazil: Weaving Check50, Autolab and MOSS into a Unified Autograder
  • A Proposal for an Educational Well-Being Index (EWI) for Undergraduate Course Design
  • Hybrid and Formative Self and Cross Peer Review Process to Support Computational and Algorithmic Thinking
  • STEAM Teachers' Perceptions of Artificial Intelligence in Education: Preliminary Research
  • Quiz-Ifying Education: Exploring the Power of Virtual Assistants
  • Designing a Framework to Support the Teaching of Programming Basics to Large Numbers of Novices
  • Informal Learning Opportunities: Neurodiversity, Self-Efficacy, Motivation for Programming Interest
  • Dispositional Learning Analytics to Investigate Students Use of Learning Strategies
  • Sound Woods: An Interactive Game-Based Learning Design for Inclusive Play Between Sighted and Visually Impaired Users
  • The Impact of Structured Prompt-Driven Generative AI on Learning Data Analysis in Engineering Students
  • Where Is the Evidence? A Plugin for Auditing Moodle’s Learning Analytics
  • Storytelling as a Pedagogical Tool in Computer Science Education: A Case Study on Software Systems Verification and Validation
  • Position Paper: Foster Academic Integration for Improved Pass Rates in First-Year Units
  • Design of Interactive STACK Exercises Using JSXGraph for Online Course: Exploring Strategies for Supporting Students with Mathematical Challenges
  • How Gender Influences the Effect of Self-Efficacy on Training Success on a Mobile Curriculum
  • Evaluating the Impact of Generative Adversarial Network in Android Malware Detection
  • Afpatoo: Tool to Automate Function Point Analysis Based on UML Class and Sequence Diagrams
  • Software Defect Prediction Using Integrated Logistic Regression and Fractional Chaotic Grey Wolf Optimizer
  • Unlocking Adaptive User Experience with Generative AI
  • Prediction of Turbidity and TDS in Dam Reservoir from Multispectral UAV-Drone and Sentinel-2 Image Sensors Using Machine Learning Models
  • Derivation of Critical Infrastructure Accessibility Index Using GIS-MCDA and Network Analysis: Case Study of Sarajevo
  • A Water-Energy-Food Nexus Approach to Assess Land Use Trade-Offs in Small Islands
  • Revitalizing Walkability Scores: A New Assessment Based on Accessibility
  • Seasonal Water Quality Assessment Using Remote Sensing in Al Rafisah Dam, United Arab Emirates
  • Dynamic Exposure Visualization of Air Quality Data with Augmented Reality
  • Automated Georeferencing and Extraction of Building Footprints from Remotely Sensed Imagery using Deep Learning
  • Regime Analysis with Numerical Modelling of Wave Dynamics and Determination of Potential Flood Zones in Chancay Bay, Peru
  • Mapping Habitats by Integrating Multi-Source Land Use Land Cover Databases: Application to Red Fox in Urban Area
  • Geodetic Fundamentals in the Development of a Voxel Model for the Subsoil of the City of Sevilla (Spain)
  • Studying Seismic Events via Satellite Interferometry for the Territory of the Balkan Peninsula
  • The Contribution of Drones to the Monitoring of Rubble-Mound Breakwaters
  • Evaluating the Urban Parks Cooling Extent Using Satellite Observations: An Alternative Approach
  • Semantic Segmentation of Paddy Parcels Using Deep Neural Networks Based on DeepLabV3
  • Assessment of Census and Remote Sensing Data to Monitor Irrigated Agriculture in Mexico
  • UAV-Based Analysis of Armour Rock Granulometry and Hydraulic Stability
  • Semantic Segmentation of Crops via Hyperspectral PRISMA Satellite Images
  • Assessing the Risks of Enhancing the Current Europe’s ADA Web Map with Ground Movement Classification Data
  • Improved Analysis of EGMS Data for Displacement Monitoring: The Case Study of Regina Montis Regalis Basilica in Vicoforte, Italy
  • What Will Virtual Reality Bring to the Qualification of Visual Walkability in Cities?
  • Estimation of Height of Building Using High Resolution Satellite Image
  • An Augmented Reality System Architecture for Flood Management
  • Production-Ready End-to-End Visual Quality Inspection for Defect Detection on Surfaces Based on a Multi-Stage AI System
  • Toward Objective Variety Testing Score Based on Computer Vision and Unsupervised Machine Learning: Application to Apple Shape
  • Multimodal Deepfake Detection for Short Videos
  • Using Deep Learning for the Dynamic Evaluation of Road Marking Features from Laser Imaging
  • HERO-GPT: Zero-Shot Conversational Assistance in Industrial Domains Exploiting Large Language Models
  • Leveraging Temporal Context in Human Pose Estimation: A Survey
  • Belfort Birth Records Transcription: Preprocessing, and Structured Data Generation
  • Fitting Tree Model with CNN and Geodesics to Track Blood Vessels in 2D Medical Images and Application to Ultrasound Localization Microscopy Data
  • Chaotic Convolutional Long Short-Term Memory Network for Respiratory Motion Prediction
  • On the Exploitation of DCT Statistics for Cropping Detectors
  • Sustainable Energy Management System for AIoT Solutions Using Multivariate and Multi-Step Battery State of Charge Forecasting
  • AI-Powered Urban Mobility Analysis for Advanced Traffic Flow Forecasting
  • Pareto-Optimal Execution of Parallel Applications with Respect to Time and Energy
  • Automatic Identification and Classification of Map-Matching Anomalies in Cycling Routes
  • Modeling the Operation of Traction Power Systems Incorporating Wind Turbines
  • Customizing Trust Systems: Personalized Communication to Address AI Adoption in Smart Cities
  • Integrating Legal Considerations into Model-Based Cyber-Physical-Systems Development
  • NILM-Based Solutions for the Automation of Energy Services in Residential Buildings
  • Assessing the Suitability of Architectural Models for Generating Smart Grid Co-Simulations
  • Examining the Impact of Weather, Temporal Factors, and User Traits on Multimodal Shared Micromobility Systems in Non-Urban Campus Environments: The MORE Sharing Case Study
  • Autonomous Driving Validation and Verification Using Digital Twins
  • Bayesian Network for Analysis and Prediction of Traffic Congestion Using the Accident Data
  • Detecting Edge Cases from Trajectory Datasets Using Deep Learning Based Outlier Detection
  • Performance Metric for Horn and Brake Automation on Mainline Trains
  • Muli-Quay Combined Berth and Quay Crane Allocation Using the Cuckoo Search Algorithm
  • Protocol Interoperability for Intelligent Transportation Systems
  • Large-Scale Forecasting of Electric Vehicle Charging Demand Using Global Time Series Modeling
  • Performance Evaluation of a ROS2 Based Automated Driving System
  • Real-Time Lane Departure Detection Using Google Routes
  • Efficient Deployment of Neural Networks for Thermal Monitoring on AURIX TC3xx Microcontrollers
  • History-Based Road Traffic Anomaly Detection Using Deep Learning and Real-World Data
  • Reinforcement Learning and Optimal Control: A Hybrid Collision Avoidance Approach
  • Using Attention Mechanisms in Compact CNN Models for Improved Micromobility Safety Through Lane Recognition
  • Improve Bounding Box in Carla Simulator
  • Assessing Trustworthiness of V2X Messages: A Cooperative Trust Model Against CAM- and CPM-Based Ghost Vehicles in IoV
  • Traffic State Estimation on Urban Roads Using Perception-Enriched Floating Car Data
  • Human Centric Intersection Crossing Control Using C-ITS Information
  • Multi-Layer Energy Management System for Cost Optimization of Battery Electric Vehicle Fleets
  • Lifelong Dynamic Timed A* (LTA*) for Fastest Path Retrieval in Congested Road Networks Using Predicted Speeds
  • Making Radar Detections Safe for Autonomous Driving: A Review
  • How Should I Measure Vehicle Deformation Depth?
  • A Qualitative Review of Full Sized Autonomous Racing Vehicle Sensors: A Case Study
  • Improving Lane Level Dynamics for EV Traversal: A Reinforcement Learning Approach
  • Enhancing Individual Mobility: A Multistage Personalization Approach for Itinerary Planning in Multimodal Networks
  • Optimal Velocity Model Based CACC Controller for Urban Scenarios
  • CARISMA: CAR-Integrated Service Mesh Architecture
  • Optimizing Traffic Adaptive Signal Control: A Multi-Objective Simulation-Based Approach for Enhanced Transportation Efficiency
  • Personalisation in Mobility-as-a-Service: Where We Are and How to Move Forward
  • Real-Time Traffic Prediction Through Stochastic Gradient Descent
  • Bus Routing Optimisation: A Case Study for the Toulouse Metropolitan Area
  • Introducing Scaled Model Development to on-Sight Automatic Train Operation
  • Multi-Pedestrian Tracking and Map-Based Intention Estimation for Autonomous Driving Scenario
  • Knowledge-Based Approach to Generate Scenarios for Testing Highly Automated On-Sight Train Operations
  • Connected Vehicle Perception Monitoring: A Runtime Verification Approach for Enhanced Autonomous Driving Safety
  • What Is the Right Bounding Box of a VRU Cluster in V2X Communication? How to Form a Good Shape?
  • Spatial Performance Indicators to Evaluate Spatiotemporal Traffic Prediction
  • Archetypes of Carsharing Relocation Algorithms: A Perspective on Problem Space, Solution Space and Evaluation
  • Beep, Bleep, Oops! A Discussion on the Misuse of Advanced Driver Assistance Systems (ADAS) and the Path Moving Forward
  • Simulation-Based Performance Evaluation of 3D Object Detection Methods with Deep Learning for a LiDAR Point Cloud Dataset in a SOTIF-related Use Case
  • Heuristic Optimal Meeting Point Algorithm for Car-Sharing in Large Multimodal Road Networks
  • Dynamic Prices in Ride-Sharing Scenarios
  • A Prototype Preceding Vehicle Identification System Development and Field Evaluation
  • Study of Track Segmentation for Lap Time Optimization
  • Modelling Implicit and Explicit Communication Between Road Users from a Non-Cooperative Game-Theoretic Perspective: An Exploratory Study
  • Geographical Self-Organizing Map Clustering in Large-Scale Urban Networks for Perimeter Control
  • Using V2X-Information for Trajectory Prediction at Urban Intersections
  • Overview of Publicly-Available Data Sources on Road Traffic Accidents in Russia
  • Introducing Flowride® Logger, an Onboard Data Collection Framework for Commercial Automated Vehicles
  • Efficient Real-Time Obstacle Avoidance Using Multi-Objective Nonlinear Model Predictive Control and Semi-Smooth Newton Method
  • Towards Scenario Retrieval of Real Driving Data with Large Vision-Language Models
  • Challenges of Remote Driving on Public Roads Using 5G Public Networks
  • Infrastructure-Based Communication Trust Model for Intelligent Transportation Systems
  • Parameter Adjustments in POMDP-Based Trajectory Planning for Unsignalized Intersections
  • VR Public Speaking Simulations Can Make Voices Stronger and More Effortful
  • Metaverse in Education: What Has Been Done so Far? A Systematic Literature Review to Map Benefits and Limitations and to Set Future Research and Application Directions
  • How Do VR Applications Address the Challenges of Conveying the Tactile Feedback Crucial to Traditional Calligraphy Practice
  • Investigating Female Sexual Presence Through Triangulation of Behavioral and Physiological Measures in Virtual Reality: Towards Therapeutic Applications for Sexual Disorders
  • The Preservation of Heritage in a School Campus with Augmented Reality (AR) and Game-Based Learning
  • Development of a Real-Time Adaptable Virtual Reality-Scenario Training for Anaesthesiology Education, a User-Centered Design
  • Development of a Patient-Embodied Experience, How and Why?
  • Virtual Museum Gamification for Discovery-Based Online Learning in the Metaverse
  • An Adaptive Learning Environment for Industry 4.0 Competencies Based on a Learning Factory and Its Immersive Digital Twin
  • Harmosphere VR: Enhancing Harmonic Learning in Music Schools Through Virtual Reality
  • Social Virtual Environments: Opportunities and Workflows in Cultural Heritage and Education in Architecture
  • Automatic Question Generation for the Japanese National Nursing Examination Using Large Language Models
  • Overcoming Student Passivity with Automatic Item Generation
  • A Method for Generating Testlets
  • Automatic Generation of Problem-Solving Assessment Items Through Domain Model Variations
  • Generalized Automatic Item Generation for Graphical Conceptual Modeling Tasks
  • Investigating the Quality of AI-Generated Distractors for a Multiple-Choice Vocabulary Test
  • Techville’s Chronicles: A Music Pedagogy Project to Foster Children’s AI Literacy Through Co-Creativity and Multimedia Storytelling
  • Fostering Piano Keyboard Proficiency Through Interactive Minigames on a MIDI Controller
  • Troubadour: Inverse Dictation Games for Ear Training
  • A Quantitative Survey of Digital Competencies of Music Teachers in the European Union
  • Learning Analytics Support in Higher-Education: Towards a Multi-Level Shared Learning Analytics Framework
  • ConstrucTED: Constructing Tailored Educational Datasets from Online Courses
  • Navigating the Landscape of Digital Competence Frameworks: A Systematic Analysis of AI Coverage and Adaptability
  • Towards Task-Oriented ICALL: A Criterion-Referenced Learner Dashboard Organising Digital Practice
  • XM: A Customised Software Tool to Facilitate Learning and Professional Skills Development in Operating Systems
  • How to Make User Interfaces More Accessible and Easier to Use for People who Are Different from Us: Breaking the Spell of the Curse of Knowledge
  • Views of Administrators on the Use of Social Media Networks and Tools in School Management Processes
  • Evaluation of Orthogonal Vector Projection Method in ST Algorithm for Generating Differential Diagnoses of Chest Pain: A Pilot Study
  • Quantitative Analysis of the Relationship Between Master Data Quality and Process Quality
  • Enhancing Constructivist Learning: The Role of Generative AI in Personalised Learning Experiences
  • A Multi-Feature Semantic Fusion and Bipartite Graph-Based Risk Identification Approach for Project Participation
  • Measuring Older People’s Attitudes Towards Personal Robots
  • Autobiographically Designing Mixed Reality for Lecturers
  • Predicting Students’ Final Exam Scores Based on Their Regularity of Engagement with Pre-Class Activities in a Flipped Classroom
  • An AI-Based Virtual Client for Educational Role-Playing in the Training of Online Counselors
  • Oil Spill Detection Using Remote Sensing and GIS in Eastern Coast of United Arab Emirates
  • Blockchain Applied to Security in Industrial Internet of Things Devices
  • An Approach for Privacy-Preserving Mobile Malware Detection Through Federated Machine Learning
  • Module of Contrastive Analysis for a Phonological Assessment Software in Development
  • A Computer Vision-Based Method for Collecting Ground Truth for Mobile Robot Odometry
  • Evaluating UX Factors on Mobile Devices: A Feasibility Study
  • Job Crafters Going Digital: A Framework for IT-Based Workplace Adaption
  • An Enterprise Architecture-Based Approach Towards More Agile and Resilient Command and Control
  • 3D Virtual Fitting Network (3D VFN)
  • EQNet: A Post-Processing Approach to Manage Popularity Bias in Collaborative Filter Recommender Systems
  • VRU-Net: Convolutional Neural Networks-Based Detection of Vulnerable Road Users
  • Optimizing Academic Pairings in Smart Campuses: A Recommendation System for Academic Communities
  • Comprehensive Traceability Framework for Synchronizing Design UML Sequence Diagrams with a BPMN Diagram
  • A Revolutionary Real-Time Translation Tool for Text, Audio, and Sign Language from Images
  • Machine Learning Models with Fault Tree Analysis for Explainable Failure Detection in Cloud Computing
  • Software Engineers Engagement and Job Satisfaction: A Survey with Practitioners Working Remotely in a Public Organization
  • Teaching Introductory Game Audio to Undergraduate Students Using a Novel Digital Game Template
  • A Methodology for Web Cache Deception Vulnerability Discovery
  • Coronary Artery Stenosis Assessment in X-Ray Angiography Through Spatio-Temporal Attention for Non-Invasive FFR and iFR Estimation
  • A Systematic Mapping Study on Impact Analysis
  • Feature Extraction, Learning and Selection in Support of Patch Correctness Assessment
  • Multimodal Approach Based on Autistic Child Behavior Analysis for Meltdown Crisis Detection
  • Machine Learning for a Better Agriculture Calendar
  • Optimizing Intensive Database Tasks Through Caching Proxy Mechanisms
  • Enhancing Holonic Architecture with Natural Language Processing for System of Systems
  • A Literature Survey on Pitfalls of Open-Source Dependency Management in Enterprise
  • Egyptian Hieroglyphs Localisation Through Object Detection
  • A Webcam Artificial Intelligence-Based Gaze-Tracking Algorithm
  • Determining the Progress of a Business Object Based on its Object Instances: An Empirical Study
  • Towards an Approach for Integrating Risk Management Practices into Agile Contexts
  • Accurate Recommendation of EV Charging Stations Driven by Availability Status Prediction
  • An Empirical Examination of the Technical Aspects of Data Sovereignty
  • RLHR: A Framework for Driving Dynamically Adaptable Questionnaires and Profiling People Using Reinforcement Learning
  • A Lightweight, Computation-Efficient CNN Framework for an Optimization-Driven Detection of Maize Crop Disease
  • Diagnosis Automation Using Similarity Analysis: Application to Industrial Systems
  • Towards Building a Reputation-Based Microservices Trust Model Using Similarity Domains
  • An Evaluation of Risk Management Standards and Frameworks for Assuring Data Security of Medical Device Software AI Models
  • Evaluating the Relative Importance of Product Line Features Using Centrality Metrics
  • Product-Line Engineering for Smart Manufacturing: A Systematic Mapping Study on Security Concepts
  • Integrating a LLaMa-based Chatbot with Augmented Retrieval Generation as a Complementary Educational Tool for High School and College Students
  • Cracking the Code: Web 3.0 Software Development Challenges and Guidelines
  • The Game of One More Idea: Gamification of Managerial Group Decision-Making in Software Engineering
  • Artificial Intelligence-Based Detection and Prediction of Giant African Snail (Lissachatina Fulica) Infestation in the Galápagos Islands
  • Improving Robustness of Satellite Image Processing Using Principal Component Analysis for Explainability
  • Smart Blockchain-Based Information Flow Control for SOA
  • HybridCRS-TMS: Integrating Collaborative Recommender System and TOPSIS for Optimal Transport Mode Selection
  • Evaluating the Performance of LLM-Generated Code for ChatGPT-4 and AutoGen Along with Top-Rated Human Solutions
  • Automated Generation of Web Application Front-end Components from User Interface Mockups
  • A Tool-Supported Approach for Modelling and Verifying MapReduce Workflow Using Event B and BPMN2.0
  • Overcoming Obstacles in Model-Driven Engineering: Lessons from the Software Industry
  • Asserting Frame Properties
  • Towards an Ethereum Smart Contract Fuzz Testing Tool
  • From Low Fidelity to High Fidelity Prototypes: How to Integrate Two Eye Tracking Studies into an Iterative Design Process for a Better User Experience
  • Towards Accurate Cervical Cancer Detection: Leveraging Two-Stage CNNs for Pap Smear Analysis
  • Logging Hypercalls to Learn About the Behavior of Hyper-V
  • AsmDocGen: Generating Functional Natural Language Descriptions for Assembly Code
  • Optimisation of Ceramic Kiln Loading Problem Using Multi-Objective Genetic Algorithm
  • A Measures-Driven Decision Support System for Managing Requirement Change in Scrum: An Empirical Evaluation
  • Design of Adaptable and Secure Connectors for Software Architectures
  • Conceptual Model Detection in Business Web Applications Within the RPA Context
  • Six-Layer Industrial Architecture Applied to Predictive Maintenance
  • The End of Mobile Software Engineering (As We Know It)
  • Adopting Delta Maintainability Model for Just in Time Bug Prediction
  • Integrating SysML and Timed Reo for Modeling Interactions in Cyber-Physical Systems Components
  • From IoT Servitization to IoT Assetization
  • A Decision-Making Approach Combining Process Mining, Data Mining and Business Intelligence
  • Readability of Domain-Specific Languages: A Controlled Experiment Comparing (Declarative) Inference Rules with (Imperative) Java Source Code in Programming Language Design
  • Synthesizers: A Meta-Framework for Generating and Evaluating High-Fidelity Tabular Synthetic Data
  • Detecting and Resolving Bad Organisational Smells for Microservices
  • Smart Widening for the Polyhedral Analysis
  • Efficiently Computing Maximum Clique of Sparse Graphs with Many-Core Graphical Processing Units
  • Multi-Criteria Decision-Making Approach for an Efficient Postproduction Test of Reconfigurable Hardware System
  • A Reference Architecture for Dynamic IoT Environments Using Collaborative Computing Paradigms (CCP-IoT-RA)
  • LAMA: Leakage Abuse Attacks Against Microsoft Always Encrypted
  • DYNAMO: Towards Network Attack Campaign Attribution via Density-Aware Active Learning
  • From Plant to Lab: Industrial Emulation Tools for Real-World Security Testing in Industrial Control Systems
  • Backdoor Attacks During Retraining of Machine Learning Models: A Mitigation Approach
  • On the Implementation of a Lattice-Based DAA for Vanet System
  • HydroLab: A Versatile Hydroelectric Power Lab for Security Research and Education
  • Towards Privacy-Preserving Multi-Cloud Identity Management Using SOLID
  • Evaluating Digital Forensic Readiness: A Honeypot Approach
  • Attribute Threat Analysis and Risk Assessment for ABAC and TBAC Systems
  • Black Sheep Wall: Towards Multiple Vantage Point-Based Information Space Situational Awareness
  • K-Resilient Public Key Authenticated Encryption with Keyword Search
  • Higher Order Leakage Assessment and Neural Network-based Attack on CRYSTALS-Kyber
  • MultiVD: A Transformer-based Multitask Approach for Software Vulnerability Detection
  • Security Analysis for BB84 Key Distillation
  • Verifying Artifact Authenticity with Unclonable Optical Tags
  • High-Speed Pipelined FPGA Implementation of a Robust Steganographic Scheme for Secure Data Communication Systems
  • UPCARE: User Privacy-Preserving Cancer Research Platform
  • Perception of Privacy Tools for Social Media: A Qualitative Analysis Among Japanese
  • An Extended Method for Transmitting Secret Messages in Textual Documents Based on Paragraph Resizing
  • Organizing Records for Retrieval in Multi-Dimensional Range Searchable Encryption
  • The Use of the DWARF Debugging Format for the Identification of Potentially Unwanted Applications (PUAs) in WebAssembly Binaries
  • A Framework for Federated Analysis of Health Data Using Multiparty Homomorphic Encryption
  • Violence Detection: A Serious-Gaming Approach
  • chiku: Efficient Probabilistic Polynomial Approximations Library
  • A Secure and Privacy-Preserving Authentication Scheme with a Zero-Trust Approach to Vehicle Renting in VANETs
  • Fuzzy Vault Security Enhancement Avoid Statistical Biases
  • Linkage Between CVE and ATT&CK with Public Information
  • A Performant Quantum-Resistant KEM for Constrained Hardware: Optimized HQC
  • Characterization of Consensus Correctness in Ripple (XRP) Networks
  • On Privacy of RFID-Based Authentication Protocols
  • Revolutionizing Blockchain Consensus: Towards Deliberative and Unanimous Agreement
  • Automating Compliance for Improving TLS Security Postures: An Assessment of Public Administration Endpoints
  • On the Privacy Afforded by Opaque Identifiers in Traffic Monitoring
  • TI-NERmerger: Semi-Automated Framework for Integrating NER Datasets in Cybersecurity
  • Dvorak: A Browser Credential Dumping Malware
  • Solving Access Control Conflicts in Multi-User Systems
  • A Composition Algebra for Decentralized Enforcement of Access Control Policies with an Application to Vehicular Networks
  • SCWAD: Automated Pentesting of Web Applications
  • Autoencoder for Detecting Malicious Updates in Differentially Private Federated Learning
  • OIPM: Access Control Method to Prevent ID/Session Token Abuse on OpenID Connect
  • Encrypted KNN Implementation on Distributed Edge Device Network
  • InspectorLog: A New Tool for Offline Attack Detection over Web Log Trace Files
  • Lightweight Cryptographic Algorithms: A Position Paper
  • Local Differential Privacy for Data Clustering
  • QPTA: Quantum-Safe Privacy-Preserving Multi-Factor Authentication Scheme for Lightweight Devices
  • Secure Multi-Party Traversal Queries over Federated Graph Databases
  • An Uncertain Reasoning-Based Intrusion Detection System for DoS/DDoS Detection
  • Enhancing Adversarial Defense in Behavioral Authentication Systems Through Random Projections
  • Amun: Securing E-Voting Against Over-the-Shoulder Coercion
  • Improving the Efficiency of Intrusion Detection Systems by Optimizing Rule Deployment Across Multiple IDSs
  • Towards a Cryptographic Model for Wireless Communication
  • Balancing Patient Privacy and Health Data Security: The Role of Compliance in Protected Health Information (PHI) Sharing
  • Utilizing Machine Learning for Optimizing Cybersecurity Spending in Critical Infrastructures
  • DISC: A Dataset for Information Security Classification
  • MATRaCAE: Time-Based Revocable Access Control in the IoT
  • Towards a Secure and Intelligent Access Control Policy Adapter for Big Data Environment
  • Kex-Filtering: A Proactive Approach to Filtering
  • An Efficient Hash Function Construction for Sparse Data
  • Imperceptible QR Watermarks in High-Resolution Videos
  • Code Obfuscation Classification Using Singular Value Decomposition on Grayscale Image Representations
  • Bringing Binary Exploitation at Port 80: Understanding C Vulnerabilities in WebAssembly
  • A Formal Analysis of CIE Level 2 Multi-Factor Authentication via SMS OTP
  • Cache Side-Channel Attacks Through Electromagnetic Emanations of DRAM Accesses
  • Membership Inference Attacks Against Indoor Location Models
  • An ASM-Based Approach for Security Assessment of Ethereum Smart Contracts
  • Enhancing OpenID Connect for Verifiable Credentials with DIDComm
  • Large-Scale Analysis of GitHub and CVEs to Determine Prevalence of SQL Concatenations
  • Spellchecker Analysis for Behavioural Biometric of Typing Errors Scenario
  • QuDPas-FHA: Quantum-Defended Privacy-Preserved Fast Handover Authentication in Space Information Networks
  • A White-Box Watermarking Modulation for Encrypted DNN in Homomorphic Federated Learning
  • The IoT Breaches Your Household Again
  • Classifying Human-Generated and AI-Generated Election Claims in Social Media
  • Toward the Foundation of Digital Identity Theory
  • Enhancing Privacy and Utility in Federated Learning: A Hybrid P2P and Server-Based Approach with Differential Privacy Protection
  • Do You Trust Your Device? Open Challenges in IoT Security Analysis
  • Securing Patient Data in IoT Devices: A Blockchain-NFT Approach for Privacy, Security, and Authentication
  • Leveraging Deep Learning for Intrusion Detection in IoT Through Visualized Network Data
  • Graph-Based Modelling of Maximum Period Property for Nonlinear Feedback Shift Registers
  • Enhancing Privacy in Machine Learning: A Robust Approach for Preventing Attribute Inference Attacks
  • Formal Analysis of C-ITS PKI Protocols
  • Privacy-Preserving Anomaly Detection Through Sampled, Synthetic Data Generation
  • Comparison of Access Control Approaches for Graph-Structured Data
  • BlueDoS: A Novel Approach to Perform and Analyse DoS Attacks on Bluetooth Devices
  • CVE2CWE: Automated Mapping of Software Vulnerabilities to Weaknesses Based on CVE Descriptions
  • Property Inference as a Regression Problem: Attacks and Defense
  • FPGA Implementation of AES-Based on Optimized Dynamic s-Box
  • Simulating SASCA on Keccak: Security Implications for Post-Quantum Cryptographic Schemes
  • Manipulating Prompts and Retrieval-Augmented Generation for LLM Service Providers
  • Open-Source Post-Quantum Encryptor: Design, Implementation and Deployment
  • Safe or Scam? An Empirical Simulation Study on Trust Indicators in Online Shopping
  • Malware Analysis Using Transformer Based Models: An Empirical Study
  • Brain Stroke Prediction Using Visual Geometry Group Model
  • Stochastic Simulation Agent for Unknown Inventory Demands in Healthcare Supply Management
  • Dynamic Price Prediction for Revenue Management System in Hospitality Sector
  • An Effective Prediction of Events in Social Networks Using Influence Score of Communities
  • Logical Rule Set to Data Acquisition and Database Semantics
  • A Data-Driven Approach for Predictive Maintenance of Impellers in Flexible Impeller Pumps Using Prophet
  • Objective Evaluation of Sleep Disturbances in Older Adults with Cognitive Impairment Using a Bed Sensor System and Self-Organizing Map Analysis
  • Artificial Intelligence-Powered Large Language Transformer Models for Opioid Abuse and Social Determinants of Health Detection for the Underserved Population
  • BeRTo: An Efficient Spark-Based Tool for Linking Business Registries in Big Data Environments
  • Recommendations of Research Articles by Experts: Visualizing Relationships and Expertise
  • Online Machine Learning for Adaptive Ballast Water Management
  • Data-Driven Model Categorization: Advancing Physical Systems Analysis Through Graph Neural Networks
  • Students’ Performance in Learning Management System: An Approach to Key Attributes Identification and Predictive Algorithm Design
  • Dataset Balancing in Disease Prediction
  • A Comparison of the Efficiencies of Various Structured and Semi- Structured Data Formats in Data Analysis and Big Data Analytic Development
  • Efficient and Secure Multiparty Querying over Federated Graph Databases
  • Forgetting in Knowledge Graph Based Recommender Systems
  • Towards Computational Performance Engineering for Unsupervised Concept Drift Detection: Complexities, Benchmarking, Performance Analysis
  • Influential Factors on Drivetrain Consumption in Electric City Buses and Assessing the Optimization Potentials
  • Yet Another Miner Utility Unveiling a Dataset: CodeGrain
  • Use of Semantic Artefacts in Agricultural Data-Driven Service Development
  • Reputation, Sentiment, Time Series and Prediction
  • A Cascade of Consequences: Improving an Accident Analysis Method by Learning from a Real Life Telecommunications Accident
  • Is Positive Sentiment Missing in Corporate Reputation?
  • Study of Impact of Gender on Engagement and Performance of Engineering Students
  • Random Neural Network Ensemble for Very High Dimensional Datasets
  • Federated Road Surface Anomaly Detection Using Smartphone Accelerometer Data
  • A Comparative Study on the Impact of Categorical Encoding on Black Box Model Interpretability
  • Privacy-Preserving Big Hierarchical Data Analytics via Co-Occurrence Analysis
  • Risk-Stratified Multi-Objective Resource Allocation for Optimal Aviation Security
  • Comparative Analysis of Hate Speech Detection Models on Brazilian Portuguese Data: Modified BERT vs. BERT vs. Standard Machine Learning Algorithms
  • Real-Time Equipment Health Monitoring Using Unsupervised Learning Techniques
  • Machine Learning Classification in Cardiology: A Systematic Mapping Study
  • Impact of Satellites Streaks for Observational Astronomy: A Study on Data Captured During One Year from Luxembourg Greater Region
  • Cross-Lingual Low-Resources Speech Emotion Recognition with Domain Adaptive Transfer Learning
  • Strategic Placement of Data Centers for Economic Analysis: An Online Algorithm Approach
  • Discretization Strategies for Improved Health State Labeling in Multivariable Predictive Maintenance Systems
  • HTC-GEN: A Generative LLM-Based Approach to Handle Data Scarcity in Hierarchical Text Classification
  • Failure Prediction Using Multimodal Classification of PCB Images
  • A Few-Shot Learning-Focused Survey on Recent Named Entity Recognition and Relation Classification Models
  • Course Recommendation System for Company Job Placement Using Collaborative Filtering and Hybrid Model
  • It is Time to Develop an Auditing Framework to Promote Value Aware Chatbots
  • Towards FAIR Data Workflows for Multidisciplinary Science: Ongoing Endeavors and Future Perspectives in Plasma Technology
  • A Web-Based Hate Speech Detection System for Dialectal Arabic
  • Interoperable Open Data Platforms: A Prototype for Sharing CKAN Data Sources
  • Twitter Metrical Data Analysis Using R: Twiplomacy in the Outbreak of the War in Ukraine
  • Anomaly Detection in Industrial Production Products Using OPC-UA and Deep Learning
  • Intelligent Sampling System for Connected Vehicle Big Data
  • Prediction of Academic Success in a University and Improvement Using Lean Tools
  • An Exploratory Analysis of Malaria and Climatic Factors in India
  • Machine Learning for KPI Development in Public Administration
  • Visualization and Interpretation of Mel-Frequency Cepstral Coefficients for UAV Drone Audio Data
  • Spatial and Spatio-Temporal Modelling of Auto Insurance Claim Frequencies During Pre-and Post-COVID-19 Pandemic
  • Towards Semantic Data Management Plans for Efficient Review Processing and Automation
  • Integration and Optimization of XNAT-Based Platforms for the Management of Heterogeneous and Multicenter Data in Biomedical Research
  • Design Features for Data Trustee Selection in Data Spaces
  • Visualizing OWL and RDF: Advancing Ontology Representation for Enhanced Semantic Clarity and Communication
  • Navigating the AI Timeline: From 1995 to Today
  • Intelligent Transportation Systems: A Survey on Data Engineering
  • Expert Agent Guided Learning with Transformers and Knowledge Graphs
  • A Max Flow Min Cut View of Social Media Posts
  • Presence of Corporate Reputation Cues in Company Vacancy Texts Boosts Vacancy Attractiveness as Perceived by Employees
  • Hidden Champions Revised: Towards a New Conceptual Framework
  • Enhancing Returns Management in Fashion E-Commerce: Industry Insights on AI-Based Prediction and Recommendation Systems
  • Comparative Analysis of Machine Learning Techniques for DDoS Intrusion Detection in IoT Environments
  • Artificial Neural Network Model for Predicting Excavator Downtime
  • Framework for Modeling the Propagation of Disturbances in Smart Construction Sites
  • Sentiment Analysis-Based Chatbot System to Enhance Customer Satisfaction in Technical Support Complaints Service for Telecommunications Companies
  • Business-RAG: Information Extraction for Business Insights
  • Speech Recognition for Inventory Management in Small Businesses
  • Classification of Peruvian Elementary School Students with Low Achievement Problems Using Clustering Algorithms and ERCE Evaluation
  • Exploring the Test Driven Development of a Big Data Infrastructure Examining Gun Violence Incidents in the United States of America
  • Roadmap for Implementing Business Intelligence Systems in Higher Education Institutions: Validation of a Case Study at the University of Trás-os-Montes and Alto Douro
  • A Bibliometric Analysis of Green Accounting, Environmental Accounting and Green Business Publications in a Global Perspective
  • Process Mining Enabled Cognitive RPA to Automate Data Entry Tasks in ERP Systems
  • A Systematic Review to Identify Patterns Types and Analysis Objectives for the Discovery of Business Rules from Event Logs Using Machine Learning
  • Gathering and Matching Data from the Web: The Bibliographic Data Collection Case Study
  • Web Service-Based Capacitated Smart Vehicle Routing Problem with Time Window and Threshold Waste Level for Home Health Care Industry
  • Coordinated Route Recommendation for Improving Social Distancing in a Congested Subway Network
  • A New Digital Twin Paradigm: Definition, Framework, and Proposed Architecture
  • Utilizing Sensor and Actuator Virtualization to Achieve a Systemic View of Mobile Heterogeneous Cyber-Physical Systems
  • DREAM-ON GYM: A Deep Reinforcement Learning Environment for Next-Gen Optical Networks
  • A Scalable Synthetic Data Creation Pipeline for AI-Based Automated Optical Quality Control
  • Algorithm of Forming the Appearance of the Flow Path of Turbomachinery of Two-Shaft Aircraft Engine Core
  • Detecting the Impact of Changes in Platelet Demand following the Implementation of PRT Platelets in Canada
  • Regression Equations for Preliminary Dimensioning of Axial Compressor Discs
  • The Negotiator: Interactive Hostage-Taking Training Simulation
  • Interactive Storytelling Apps: Increasing Immersion and Realism with Artificial Intelligence?
  • Toward Physics-Aware Deep Learning Architectures for LiDAR Intensity Simulation
  • A Layering Approach with Role-based Workflow Modelling for the Enterprise Workflow
  • A Digital Twin based Approach to Structural Mechanics: New Perspectives for Robotics in Forestry and Beyond
  • Coupling Agent-Based Simulations and VR Universes: the Case of GAMA and Unity
  • Method for Automated Parametric Studies and Evaluation Using the Example of an Aerosol-on-Demand Jet-Printhead
  • Methodological Approach to Model and Validate CPS
  • A Sampling-Based Approach to UAV Manipulator Path Planning
  • Trajectory Generation Model: Building a Simulation Link Between Expert Knowledge and Offline Learning
  • Optimizing Privacy-Utility Trade-Off in Healthcare Processes: Simulation, Anonymization, and Evaluation (Using Process Mining) of Event Logs
  • Using NetLogo to Simulate Large Production Plants: Simulation Performance: A Case Study
  • Performance Improvement of a Vertical Turbine Pump Accounting for the Solid-Water Two-Phase Flow Conditions
  • Multi-Method Approaches for Simulation Modelling of Warehouse Processes
  • The Unreasonable Effectiveness of Artefacts and Documentation: An Exploration of Consensus Using Multi-Agent Simulations in a Two-Team Configuration
  • Complex Responsive Processes: The Emergence of Enabling Constraints in the Living Present of a Cyber-Physical Social System
  • Optimal Wireless Meter Deployment Using Evolutionary Algorithms
  • Unlocking Antenna Performance: Harnessing the Power of the Hahn-Banach Theorem in Wireless Communication Systems
  • Non Linear Homogenization of Laminate Magnetic Material by Computing Equivalent Magnetic Reluctivity
  • Adapting Retail Supply Chains for the Race to Sustainable Urban Delivery
  • Optimal Design of a Variable-Pitch Axial Flow Fan by Applying Optimization Algorithm to Design, Through-Flow Analysis and CFD Simulation Methods
  • On the Adoption of Explainable Deep Learning for Image-Based Network Traffic Classification
  • Delivery Zones Partitioning Considering Workload Balance Using Clustering Algorithm
  • A Web-Based System for Learning Qualitative Constraint Networks with Preferences
  • Enhancing Continuous Optimization with a Hybrid History-Driven Firefly and Simulated Annealing Approach
  • Reliability Analysis of Francis Turbine Cracking Using Gamma Frailty Model and Censored Historical Maintenance Data
  • A Greedy Search Based Ant Colony Optimization Algorithm for Large-Scale Semiconductor Production
  • Evolutionary Multi-Objective Task Scheduling for Heterogeneous Distributed Simulation Platform
  • Possibilities of Simulation of the Socio-Political Conflicts Based on the Mathematical Technique of the Langmuir Monolayers Theory
  • Increasing Resilience in Production Networks: A Practical Approach Based on Scenario Planning and Simulation-Based Capacity Analysis
  • A Simulation Analysis of Economic and Environmental Factors in the Design of an Electric Vehicle Battery Reverse Supply Chain
  • Implementing OntoUML Models with OntoObject-Z Specifications: A Proof of Concept Relying on a Partial Ontology for VLANs
  • Semi-Supervised Fuzzy DBN-Based Broad Learning System for Forecasting ICU Admissions in Post-Transplant COVID-19 Patients
  • Eco-Sustainability and Efficiency of Healthcare Complex Systems
  • Integrated Data-Driven Framework for Automatic Controller Tuning with Setpoint Stabilization Through Reinforcement Learning
  • Modelling and Simulation-Based Evaluation of Twinning Architectures and Their Deployment
  • A Model of the Control System of a Carbon Dioxide Gas Turbine in Supercritical Condition
  • Combine Intent Recognition with Behavior Modeling in Teaching Competition Military Simulation Platform
  • A Vision for Advancing Digital Twins Intelligence: Key Insights and Lessons from Decades of Research and Experience with Simulation
  • Balancing Act: Navigating the Privacy-Utility Spectrum in Principal Component Analysis
  • Virtually Free Randomisations of NTT in RLWE Cryptosystem to Counteract Side Channel Attack Based on Belief Propagation
  • CyberGuardian: An Interactive Assistant for Cybersecurity Specialists Using Large Language Models
  • Enhancing User Experience in Games with Large Language Models
  • GAN-based Seed Generation for Efficient Fuzzing
  • Development of GIS-Based Simulations for Evaluating Interventions in Latvia's Transport System
  • A Deep Dive into GPT-4's Data Mining Capabilities for Free-Text Spine Radiology Reports
  • Computing: Looking Back and Moving Forward
  • Compact Representation of Digital Camera's Fingerprint with Convolutional Autoencoder
  • Enhancing Echo Processing Through the Integration of Support Vector Machine and Weber's Law Descriptors
  • Artificial Bee Colony Algorithm: Bottom-Up Variants for the Job-Shop Scheduling Problem
  • Research on the Relationship Between Organizational Commitment and Work Performance of College Teachers Based on Big Data Technology
  • Research on the Influence of Lane Width on Drivers' Dangerous Lane Change Behavior on Urban Roads
  • Enhancing Intelligent Mobility: LSTM Neural Networks for Short-Term Passenger Flow Prediction in Rail Transit
  • The Prediction of Google Stock Closing Price Based on Linear Regression Model and Random Forest Model
  • Analysis of Traffic Congestion Using LSTM and Graph Theory
  • Research on Microsoft Stock Price Prediction Based on Various Models
  • Predictive Analysis of Tesla's Stock Closing Prices Utilizing LSTM and GRU Deep Learning Models
  • The Investigation Related to the Role of ChatGPT in English Language Teaching
  • Yellow Taxi Demand Prediction for New York City Based on VMD-SSA-LSTM
  • Research on Pricing of Automatic Redemption Structured Deposit Products Based on Monte Carlo Simulation
  • Research on the Application and Management of Shared Bikes in Smart Cities
  • The Psychological Effects of Fear of Missing Out (FOMO) on Consumer Behaviour with a Focus on Social Media
  • A Study on Audience Participation in Suspense Movies in the Era of Social Media: Taking "Lost in the Stars" as an Example
  • Consumption Characteristics and Evaluation Methods in Era Z
  • Integration of CAPM and ANN in the Application of Stock Forecasting
  • Research on Credit Card Default Prediction for Class-Imbalanced Datasets Based on Machine Learning
  • The Evolution of Digital Signature Technologies in Mobile Devices
  • Evaluating the Predictive Proficiency of Machine Learning Algorithms: Progressive Developments in Diamond Price Forecasting
  • Study on the Influencing Factors and Prediction of Air Quality in California Based on Multiple Linear Regression and Gaussian Process Regression Models
  • Research on Microsoft Stock Prediction Based on Machine Learning Methods
  • CNY EX Rate Prediction Based on LSTM and Machine Learning Methods
  • Analysis and Control of Airport Runway Intrusion
  • The Correlation Between Social Media and Consumer Behaviour: A Research on Movie Industry in China
  • Research on the Influencing Factors of GDP in Anhui Province Based on Statistical Analysis
  • The Contradiction of Social Media at Stage: Study on the Use of Social Media in Hong Kong
  • Decentralized Encrypted Communication: An Investigation of the Current Landscape and Future Prospect
  • Cheat Prediction and Contrastive Analysis in Games Based on Machine Learning Methods
  • The Applications of the Combinations of Deep Learning and Blockchain Technology in Manufacturing Production Process: A Comprehensive Investigation
  • Factors Influencing the Profitability and Loss of Chinese Insurance Companies Based on Factor Analysis
  • Advertising Optimization and Feature Analysis Based on Machine Learning
  • Explore the Interplay Between Social Media Marketing and Audience Reception for Female-Centric Asian Films
  • Analysis of Laptop Price Influencing Factors and Price Prediction
  • The Impact of Education Input on China's Economic Growth
  • Predicting NBA Player’s Salary Based on Statistics from the Game Using Linear Regression
  • Research on Intelligent Planting Optimization of Soil Environment Based on Machine Learning Method
  • Human Activity Recognition Using Smartphone Sensors Based on XGBoost Model
  • House Price Prediction with Optimistic Machine Learning Methods Using Bayesian Optimization
  • Energy Efficiency Analysis of China Based on DEA Methods Under Dual Carbon Target
  • The Impact of Natural Population Growth Rate and per Capita GDP on Life Expectancy in China
  • Maximizing the Potential of Multiheaded Attention Mechanisms Dynamic Head Allocation Algorithm
  • Optimization and Benefit Assessment of Cold Chain Logistics Network in Southeast Asia Based on Big Data Analysis
  • Exploring LSTM Networks for Stock Price Prediction in the Chinese Baijiu Industry
  • Bernoulli Distribution-Based Maximum Likelihood Estimation for Dynamic Coefficient Optimization in Model-Contrastive Federated Learning
  • Convolutional Neural Network's Stacking Classifier on Cardiovascular Disease
  • Predicting the Characteristics of Tsunamis Using Machine Learning
  • Predicting Loan Eligibility Approval Using Machine Learning Algorithms
  • Research on the Influencing Factors of Online Clothing Sales Based on Binary Logit Regression
  • The Exploration of Artificial Intelligence in Pronunciation Teaching
  • Empirical Analysis of Convertible Bond Pricing and Arbitrage Based on Black-Scholes Model
  • Impact of Green Policies on Industrial Upgrading
  • Development of Text Classification Methods Based on Deep Learning
  • Comparison Between Two Algorithms in Music Genre Classification
  • Comparative Analysis of Encoder-Only, Decoder-Only, and Encoder- Decoder Language Models
  • A Comprehensive Research of Data Privacy Based on Federated Learning
  • Research on Solutions to Non-IID and Weight Dispersion
  • House Price Prediction and Feature Analysis Based on Multilayer Perceptron (MLP)
  • Sentiment Analysis with Different Deep Learning Methods
  • Advancements in Single Image Super-Resolution Techniques
  • Image Classification Based on Deep Learning
  • Research on Solving Communication Instability and Non-IID
  • Behavioral Responses to Health Anxiety in Different Populations Were Analyzed Based on Social Media Platform Data
  • Exploration and Analysis of FedAvg, FedProx, FedMA, MOON, and FedProc Algorithms in Federated Learning
  • The Advancements of Pruning Techniques in Deep Neural Networks
  • Simulation Study of Industrial Robots Based on Offline Programming
  • The Investigation of Industry Application Scenarios in Digital Signature
  • The Investigation of Layer 2 Blockchain Technologies for Decentralized Applications
  • Overcoming the Difficulty of Teaching Chinese Pronunciation Based on Artificial Intelligence Models
  • Evolution of Object Detection Algorithms Utilizing Deep Learning
  • The Advancements and Applications of Artificial Intelligence in Gastric Cancer Diagnosis
  • UNet and Transformers: Deep Learning Based Methods for Medical Image Segmentation
  • BEV-Based 3D Detection for Automatic Driving Using Lidar-Camera Fusion
  • The Evolving Landscape of Smart Contracts: From Cypherpunk Dreams to Transforming Industries
  • Risk Management in A Global Supply Chain
  • Chinese Text Summarization Based on Multi-Layer Attention
  • Reappearance and Optimization of the FedDyn Algorithm
  • Deep Learning-Based Multimodal Sentiment Analysis
  • Development of Text Error Correction Techniques in Chinese Corpus
  • Advanced Chinese Rap Lyric Generation with Integrated Markov Chain and LSTM Models
  • Prediction of Bank Fixed Deposits Based on Logistic Regression
  • Research on Autonomous Driving Based on Multi-Sensor Information Fusion Technology
  • Forecasting the Future Development of ABCtronics: A Comprehensive Analysis
  • Machine Learning-Based Steam Platform Game's Popularity Analysis
  • Application Research of Substation Power Inspection Robot Based on Image Recognition Technology
  • Comparative Analysis of Predictive Models for Estimating Body Fat Percentage Using Three Models
  • Investigation of Advancements in Machine Learning Algorithms for Accented Speech Recognition
  • Research on Weld Tracking Based on Machine Vision
  • Research on the Control of the end Effector of the Large-Scale Curved Surface Compliant Polishing Robot
  • Comparative Analysis of Different Deep Learning Models on Face Recognition Tasks
  • Compare of Linear Regression Model and LSTM Neural Network in Machine Learning
  • Deep Learning-Based Prediction and Analysis of Highway Traffic Flow near Airports
  • Using GIS Machine Learning Technique to Analysis Road Safety near Parks
  • Exploration and Discussion for Bitcoin Encryption Algorithms
  • The Investigation of Fully Homomorphic Encryption: Techniques, Applications, and Future Directions
  • Explore the Impact of Live Marketing on Contemporary Consumption Concepts
  • Exploring the Impact of the Presentation of Negative Information in the News on Public Sentiment
  • Multi-Factor Stock Selection Strategy Based on Network Sentiment Analysis
  • Game Classification and Analysis Based on Machine Learning-Based Methods
  • Races in Extended Input/Output Automata, Their Compositions and Related Reactive Systems
  • Design of a New Digital Cognitive Screening Tool on Tablet: AlzVR Project
  • The Investigation of Progress Related to Harmful Speech Detection Models
  • Construal Level Theory and Maslow's Hierarchy with Machine Learning for Enhanced Consumer Demand Analysis
  • Ensembled Learning Based Model for Bank Churn Prediction
  • Deep Learning-Driven Personalized Recommender Systems: Theory, Models, and Future Directions
  • Word Frequency Counting Based on Serverless MapReduce
  • The Progress of Shopping Recommendation System Based on Machine Learning Algorithms
  • Research on Neural Network-Based Achievement Prediction of Middle School Students
  • Analysis of Health Status of Alcoholic Students Based on the Gradient Boosting Decision Tree
  • Strategic Imperatives for Tesla: A SWOT Analysis of Market Position and Technological Innovation in the Electric Vehicle Industry
  • Comparative Research on Performance of Image Recognition and Classification Using VGG16 with Different Features
  • Prediction of Heart Failure Occurrence Based on the Categorical Boosting Model
  • Research on Traffic Flow Prediction Based on ARIMA Model
  • Advancements of Graph Neural Networks in Urban Traffic Prediction
  • Sustainability Meets Efficiency: Unveiling the Dual Impact on Supply Chain Performance in the Retail Sector. A Case Study of JB Hi-Fi
  • Big Data Analysis and Deep Learning in Smart Environments: Uncovering Key Technologies for an Intelligent Future
  • AI in Personalized Health Management: Practices and Challenges
  • The Comprehensive Investigation of Lung Disease Classification Based on SGD
  • Consumer Personality Analysis: Tailoring Marketing Strategies for Diverse Segments
  • The Investigation of Real-Time Credit Card Fraud Detection (RTCCFD) Based on Machine Learning and Apache Spark
  • Ensemble Learning Based Models and Deep Learning Model for Credit Prediction, Case Study: Taiwan, China
  • Efficient Image Classification Using ReXNet: Distinguishing AI- Generated Images from Real Ones
  • Sentiment Analysis in Analyzing Monkeypox-Related Tweets Based on Deep Learning
  • Value Co-Creation in the Era of Social Networking: Exploring the Social Commerce Value Creation Model Based on Xiaohongshu
  • Image Discrimination and Parameter Analysis Based on Convolutional Neural Networks (CNN)
  • Adaptive Recommendation System Strategies: An Exploration of Online Machine Learning Algorithms
  • Word Frequency Statistics Based on Serverless Computing
  • Research on the Impact of Expanding Cross-Border e-Commerce Business on e-Commerce Enterprises: A Case Study of Pinduoduo and Jingdong
  • Analysis of the Functions of Database Information Management System: Taking the User Health Record Platform as an Example
  • Optimizing Database Management Systems: Techniques and Challenges in the Information Age
  • Satisfaction Analysis of Airline Passenger Experience
  • Machine-Learning-Based Prediction of Obesity
  • Advancements of Football Data Analysis Based on Machine Learning Algorithms
  • Comparison and Analysis of Large Language Models Based on Transformer
  • Enhancing Image Generation with Diffusion Transformer Architecture
  • Analysis of Generative Adversarial Networks (GANs) and Their Variants Based on Encoders and Decoders
  • The Challenges, Strategies, and Roles of Database Technology in the Big Data Era: A Case Study of the Push System in E-Commerce
  • Application of Artificial Intelligence in Stroke Prediction: Latest Advancements and Future Prospects
  • Advancements in Facial Expression Recognition: A Comparative Study of Traditional Machine Learning and Deep Learning Approaches
  • Retrieval-Augmented Generation Solutions for Typical Application Process Issues
  • Research on Green Supply Chain Optimization of Fresh Food e-Commerce Platform Under New Retail Mode: Taking Fresh Hema as an Example
  • Image Classification Based on Federated Learning and PFLlib
  • Research on Hotel Reservation Customer Churn Based on Deep Neural Networks
  • Supermarket Management Information System Development and Current Situation: A Comparative Analysis of Large and Small and Medium-Sized Supermarkets
  • Investigation on the Self-Improving Algorithm of TikTok Based on Extensive User Interactions
  • Machine Learning for Enhanced Heart Disease Prediction: A Comprehensive Classifier Evaluation
  • The Impact of AI on Business Students’ Career Choices
  • Research on Digital Transformation Path and Development of the e-Commerce Industry: Taking Alibaba as an Example
  • RARN: Lightweight Deep Residual Learning with Attention for Human Emotions Recognition
  • Defending Language Models: Safeguarding Against Hallucinations, Adversarial Attacks, and Privacy Concerns
  • Exploration vs. Exploitation: Comparative Analysis and Practical Applications of Multi-Armed Bandit Algorithms
  • The Investigation of Advancements in Intelligent Tourism Route Planning Based on Path Generation Algorithms
  • Flower Classification and Key Parameter Analysis Based on ViT
  • Network Flow of Graph Theory and Its Application
  • Enhanced Multi-Attribute Fashion Image Editing Using Vision Transformer-Guided Diffusion Models
  • Decoding Weibo Sentiments: Unveiling Nuanced Emotions with Bidirectional LSTM Analysis
  • Cardiovascular Disease Prediction Based on Machine Learning
  • The Application of Machine Learning and Deep Learning-Based Algorithms in Facial Expression Recognition
  • Virtual Try on Application and Parameter Analysis Based on Clothing Warping and Masking Technology
  • Digital Supply Chain Improves the Performance of e-Commerce Enterprises
  • The Effect of Price on E-Commerce Platforms: Statistical Evaluation of Amazon's Pricing Strategy
  • Refined Object Detection: Integrating C2f and SE Mechanisms in YOLOv5
  • The Advancements of Convolutional Neural Networks on Cerebral Hemorrhage Detection
  • Multiple GPUs-Based Distributed Learning for Classification of Breast Cancer Images
  • Artificial Intelligence in Cardiac Disease Diagnosis: A Comprehensive Investigation
  • Analysis of ZEEKR New Energy Vehicle Marketing Strategy
  • Advancements and Challenges in Intelligent Driving Technology: From Evolution to Future Prospects
  • Empirical Analysis of Trade Cost Impacts on Cross-Border e-Commerce Competitiveness: A Case Study of China and 'Belt and Road' Countries in the Digital Economy
  • Exploring the Silver Screen: A Comparative Study of UCB and EUCBV Algorithms in Movie Genre Recommendation
  • How Does AI Impact Supply Chain Effectiveness?
  • Transformer-Based Fine-Tuning and Zero-Shot Learning for Image Classification
  • Progressing Toward Smart Brain Hemorrhage Detection: Machine Learning-Based Advanced Medical Imaging Technologies
  • Enhancing Object Detection with YOLOv8 Transfer Learning: A VOC2012 Dataset Study
  • Performance Comparison and Analysis Between MOON and FedProx in Image Classification
  • The Comprehensive Investigation of Machine Learning-Based Patient Brain Stroke Prediction
  • Combining MapReduce and Serverless Computing for Efficient Word Frequency Statistics
  • Efficacy and Efficiency in Object Detection: Exploring YOLOv9 on Limited Resources
  • An Investigation of Studies on Spam Filtering Based on Machine Learning
  • Exploring the Potential of Artificial Intelligence in English Education
  • Difficulties Faced by SMEs and Traditional Industries in Digital Intelligent Transformation under the Background of Digital Intelligent Transformation and Suggestions
  • Enhancing Intelligent Vehicle Lane-Change Strategies Based on Deep Reinforcement Learning
  • Enhanced Pneumonia Detection in Chest X-Rays Based on Integrated Denoising Autoencoders and Convolutional Neural Networks
  • Deep Learning-Based Algorithms in Solving Traffic Jam in Smart Transportation
  • Examine the Impacts of the Coronavirus Crisis on Vegetable Pricing
  • The Research About the Relationship Between Express Delivery and Business Revenue in China
  • The Development and Technical Research and Analysis of Image Classification
  • Advancements of Deep Learning-Based Pneumonia Chest Classification
  • YOLOv8-Based Framework for Accurate Lung CT Nodule Images Detection
  • Medical Image Classification Based on Transformer Model and Ordinal Loss
  • Research on Face Recognition Technology Based on Real-World Application Scenarios
  • Analysis of Luckin's Brand Joint Strategy
  • Advancements in Machine Learning for Network Anomaly Detection: A Comprehensive Investigation
  • Application and Analysis of Black and White Image Coloring Based on Generative Adversarial Networks (GANs)
  • Comparative Analysis of Brain Tumor Classification and Models Based on VGG16
  • Under the Impact of e-Commerce, the Operation Strategy of Physical Clothing Stores
  • Distributed Learning in Healthcare: Application of Federated Learning to Skin Cancer Diagnosis
  • Application of Data Mining Techniques to Supermarket Databases
  • A Study on Multi-Arm Bandit Problem with UCB and Thompson Sampling Algorithm
  • Convolutional Neural Networks (CNNs)-Based for Medical Image Analysis
  • Enhancing Recommendation Systems with Stochastic Processes and Reinforcement Learning
  • Federated Learning-Based EfficientNet in Brain Tumor Classification
  • Assessment and Optimization of Social Media Marketing Strategies: A Case Study of Xiaohongshu
  • Enhancing Cybersecurity in Healthcare: Machine Learning and Deep Learning Strategies for Intrusion Detection on the Internet of Medical Things
  • Advances in Pneumonia Detection: A Comprehensive Investigation of Federated Learning and Deep Learning-Based Approaches
  • Optimizing Credit Card Fraud Detection with Multi-Armed Bandit Algorithms
  • The Investigation of the Application of Apache Spark in Stock Analysis
  • Deciphering Spam Through AI: From Traditional Methods to Deep Learning Advancements in Email Security
  • Optimizing Privacy and Processing: Navigating Federated Learning in the Era of Edge Computing
  • Enhancing Facial Expression Recognition and Analysis with EfficientNetB7
  • The Comparison of Diabetes Risk Prediction Accuracy Across Different Models
  • Predictive Assessment of Heart Disease Based on Multiple Machine Learning Models
  • Advancing House Price Forecasting: Linear Regression and Deep Learning Models Analysis
  • Research Advanced in Personalized Federated Learning
  • Heart Disease Prediction Using Gradient Boosting Decision Trees
  • Enhancing Recommendation Systems Through Contextual Bandit Models
  • Inheriting Thompson Sampling for Movie Recommendation
  • Research Advanced in Federated Learning
  • A New Perspective on the Treatment of Ovarian Cancer: Deep Learning Algorithms-Based Prediction
  • Analysis and Research on Supply Chain Optimization of e-Commerce Platform: Taking Amazon and Alibaba as Examples
  • Advancements in Pancreatic Cancer Detection: A Comprehensive Investigation of Convolutional Neural Network Applications
  • Future Development of Information Management Systems Based on Big Data Technology, Artificial Intelligence Technology and Cloud Computing
  • Analysis of Upper Confidence Boundary Algorithms for the Multi- Armed Bandit Problem
  • Machine Learning-Based Stroke Prediction
  • Systematic Investigation on Deep Learning Network in Skin Cancer Diagnosis
  • A Comparative Study on the Influencing Factors of the Large Chinese and Foreign Shipping Companies’ Stock Price
  • Chat GPT in Education: Applications, Impacts, and Future Prospects
  • An Analysis of Customer Churn Prediction in Different Business Industries
  • Improving the Performance of Deep Q Network in Decision Making Environment: Applying Multi-Head Attention into DQN
  • Federated Learning-Based Face Recognition: Methods, Challenges and Future Prospects
  • Forecasting Demand of Shared Bikes Based on ARIMA Model
  • Research and Parameter Setting Recommendations for the UCB Algorithm Based on Advertisement Deployment on the Amazon Website
  • AI-Based Methods of Cardiovascular Disease Prediction and Analysis
  • Advancing Lung Cancer Diagnosis: Federated Learning-Based Privacy Innovations
  • Joint C2f and Joint Loss Object Detection Based on YOLOv5
  • CNN-Based Facial Emotion Recognition: Modeling and Evaluation
  • Wildlife Species Classification on the Edge: A Deep Learning Perspective
  • Deep Learning and Machine Learning Based Facial Expression Recognition Employed in Mental Health
  • A Conceptual Model of Blended Learning in the Context of Digital Teaching and Learning Transformation
  • Research and Application of Domain Knowledge Discovery Based on GPT
  • Positioning Method of Four-Wheel Drive Robots Based on Multi-Sensor Fusion and Improved Adaptive Monte Carlo Algorithm
  • Design and Experimental Study of Rail Degaussing System Based on Permanent Magnet
  • Analysis and Application of College Students' Network Behavior Based on Data Mining
  • Traffic Flow Prediction Model Based on BDBO-TCN
  • Fault Diagnosis of Process Systems Based on Graph Neural Network
  • Power Quality Monitoring Device of EMU Traction Network Based on Zynq
  • A GIS-Based Data Mining of Landuse Changes in the Yellow River Basin, China
  • Improved DETR-Based Detection of Icing and Snow on Aircraft Surfaces
  • Data Mining and Mathematical Modeling in Big Data: Partial-rogue Lump Ripple Model on Sina Weibo Public Opinion
  • Analysis of an Event-Driven Data Relay Based Approach in Ramp Patrols
  • A Text Summarization Model Based on Dual Pointer Network Fused with Keywords
  • Elevator Passenger Abnormal Behavior Recognition Method Based on Digital Twin
  • Research on Maneuver Decision of Unmanned Combat Aerial Vehicles Based on Segmented Reward Function and Improved Deep Q-Network
  • A Parameter-Free Self-Training Algorithm for Dual Choice Strategy
  • Modeling and Analyzing the Impact of Mosaic Art on the Psychological Well-Being of Primary School Students
  • Text Mining and Sentiment Classification for Logistics Enterprises Evaluation Based on BERT
  • Research on Valve Network Model for Complex Industrial Pipeline Networks
  • Research on Group Decision Model of Civil Aviation Emergency Transport Based on Foreground Regret Theory
  • Random Forest Classification of Cognitive Impairment Using Digital Tree Drawing Test (dTDT) Data
  • A Decoupled Graph Convolutional Network with Dual Adaptive Propagation Mechanism for Homophily and Heterophily
  • FOCUS: An Intelligent Startle Management Assistant for Maximizing Pilot Resilience
  • From Laboratory to Cockpit: Evaluating the Predictive Value of Cognitive Tasks on Flight Simulator Performance
  • Emotions-Based Training: Enhancing Aviation Performance Through Self-Awareness and Mental Preparation, Coping with Stress and Emotions
  • Airline Pilots’ Perceived Operational Benefit of a Startle and Surprise Management Method: A Qualitative Study
  • Advancements in Monitoring Physical Fatigue in Aviation: A Comprehensive Analysis of State-of-the-Art ECG Sensor Technologies
  • The Next Generation Cockpit: Requirements of Fighter Pilots in a Highly Automated Environment
  • Optimizing Decision Making in Aviation: A New Communication Paradigm for Rerouting
  • A Study of Knowledge Exchange for Airborne Delegation in C-SAR Mission
  • Thinking the Certification Process of Embedded ML-Based Aeronautical Components Using AIDGE, a French Open and Sovereign AI Platform
  • AI-Assisted Debrief: Automated Flight Debriefing Summarization and Competency Assessment
  • AI in Flight: Advancing Aviation Safety Through Real-Time Monitoring of Pilots’ Neuropsychological States
  • A User-Centered Ontology for Explainable Artificial Intelligence in Aviation
  • Man-Machine Teaming: AI’s Overload Management and Task Allocation
  • Integrating Rigorous Qualitative Methods into the Design and Evaluation of Safety-Critical Systems
  • Comprehensive Study on Fighter Pilot Attention and Vigilance Monitoring
  • Working Memory Capacity, Mental Fatigue, and Human Performance
  • Using Deep RL to Improve the ACAS-Xu Policy: Concept Paper
  • An Index Bucketing Framework to Support Data Manipulation and Extraction of Nested Data Structures
  • Utilizing Data Analysis for Optimized Determination of the Current Operational State of Heating Systems
  • Modelling of an Untrustworthiness of Fraudulent Websites Using Machine Learning Algorithms
  • Learning to Rank for Query Auto-Complete with Language Modelling in Enterprise Search
  • Comparative Analysis of Topic Modelling Approaches on Student Feedback
  • Machine Learning Unravels Sex-Specific Biomarkers for Atopic Dermatitis
  • Reducing the Transformer Architecture to a Minimum
  • Efficient Neural Network Training via Subset Pretraining
  • Multi-Label Classification for Fashion Data: Zero-Shot Classifiers via Few-Shot Learning on Large Language Models
  • Optimizing High-Dimensional Text Embeddings in Emotion Identification: A Sliding Window Approach
  • MLN-Subdue: Substructure Discovery In Homogeneous Multilayer Networks
  • Flow Is Best, Fast and Scalable: The Incremental Parametric Cut for Maximum Density and Other Ratio Subgraph Problems
  • Federated Learning for XSS Detection: A Privacy-Preserving Approach
  • A Knowledge Map Mining-Based Personalized Learning Path Recommendation Solution for English Learning
  • RUDEUS: A Machine Learning Classification System to Study DNA-Binding Proteins
  • Positive-Unlabeled Learning Using Pairwise Similarity and Parametric Minimum Cuts
  • Evaluating the Suitability of Long Document Embeddings for Classification Tasks: A Comparative Analysis
  • Prompt Distillation for Emotion Analysis
  • Comparing Human and Machine Generated Text for Sentiment
  • An Explainable Classifier Using Diffusion Dynamics for Misinformation Detection on Twitter
  • A Network Learning Method for Functional Disability Prediction from Health Data
  • Enhancing Dyeing Processes with Machine Learning: Strategies for Reducing Textile Non-Conformities
  • Efficient Visualization of Association Rule Mining Using the Trie of Rules
  • Comparative Analysis of Real-Time Time Series Representation Across RNNs, Deep Learning Frameworks, and Early Stopping
  • Multilayer Networks: For Modeling and Analysis of Big Data
  • Predicting Post Myocardial Infarction Complication: A Study Using Dual-Modality and Imbalanced Flow Cytometry Data
  • GenCrawl: A Generative Multimedia Focused Crawler for Web Pages Classification
  • Antibiotic Resistance Gene Identification from Metagenomic Data Using Ensemble of Finetuned Large Language Models
  • Route Recommendation Based on POIs and Public Transportation
  • Hyperparameter Optimization for Search Relevance in E-Commerce
  • Approaches for Extending Recommendation Models for Food Choices in Meals
  • A Framework for Self-Service Business Intelligence
  • Knowledge Graphs Can Play Together: Addressing Knowledge Graph Alignment from Ontologies in the Biomedical Domain
  • Decoding AI’s Evolution Using Big Data: A Methodological Approach
  • MAEVE: An Agnostic Dataset Generator Framework for Predicting Customer Behavior in Digital Marketing
  • Beyond Twitter: Exploring Alternative API Sources for Social Media Analytics
  • Optimizing Federated Learning for Intrusion Detection in IoT Networks
  • Personalization of Dataset Retrieval Results Using a Data Valuation Method
  • An Improved Meta-Knowledge Prompt Engineering Approach for Generating Research Questions in Scientific Literature
  • A Systematic Literature Review on LLM-Based Information Retrieval: The Issue of Contents Classification
  • A Smart Hybrid Enhanced Recommendation and Personalization Algorithm Using Machine Learning
  • An End-to-End Generative System for Smart Travel Assistant
  • Enhancing Answer Attribution for Faithful Text Generation with Large Language Models
  • MERGE App: A Prototype Software for Multi-User Emotion-Aware Music Management
  • Comparative Performance Analysis of Active Learning Strategies for the Entity Recognition Task
  • Intrinsic Evaluation of RAG Systems for Deep-Logic Questions
  • Contrato360 2.0: A Document and Database-Driven Question-Answer System Using Large Language Models and Agents
  • Prediction of Response to Intra-Articular Injections of Hyaluronic Acid for Knee Osteoarthritis
  • Comparative Analysis of Single and Ensemble Support Vector Regression Methods for Software Development Effort Estimation
  • Software Testing Effort Estimation Based on Machine Learning Techniques: Single and Ensemble Methods
  • Reviewing Machine Learning Techniques in Credit Card Fraud Detection
  • Supervised Machine Learning Models and Schema Matching Techniques for Ontology Alignment
  • Framework for a Knowledge-Based Course Recommender System Focused on IT Career Needs
  • Optimization of Methods for Querying Formal Ontologies in Natural Language Using a Neural Network
  • Personalized Asthma Recommendation System: Leveraging Predictive Analysis and Semantic Ontology-Based Knowledge Graph
  • A Fuzzy Decision Support System with Semantic Knowledge Graph for Personalized Asthma Monitoring: A Conceptual Modeling
  • Clustering for Explainability: Extracting and Visualising Concepts from Activation
  • How to Surprisingly Consider Recommendations? A Knowledge-Graph-Based Approach Relying on Complex Network Metrics
  • Developing a Reference OntoUML Conceptual Model for Data Management Plans: Enhancing Consistency and Interoperability
  • SMACS: Stress Management AI Chat System
  • A Methodology for Interpreting Natural Language Questions and Translating into SPARQL Query over DBpedia
  • Semantic Capability Model for the Simulation of Manufacturing Processes
  • Applying the LOT Methodology to Enhance the Cinematic Heritage Archives
  • Semantic-Aware Validation in Model-Driven Requirements Engineering Using SHACL
  • owl2proto: Enabling Semantic Processing in Modern Cloud Micro-Services
  • Learning Knowledge Representation by Aligning Text and Triples via Finetuned Pretrained Language Models
  • Multidimensional Knowledge Graph Embeddings for International Trade Flow Analysis
  • Benchmarking the Ability of Large Language Models to Reason About Event Sets
  • Collaboration Patterns Ontology for Human-Machine Decision Support
  • Adapter-Based Approaches to Knowledge-Enhanced Language Models: A Survey
  • Quantifying Domain-Application Knowledge Mismatch in Ontology-Guided Machine Learning
  • Traffic Detection and Forecasting from Social Media Data Using a Deep Learning-Based Model, Linguistic Knowledge, Large Language Models, and Knowledge Graphs
  • An Holistic Approach to Diagnostic and Therapeutic Care Pathways Management
  • Automatic Transcription Systems: A Game Changer for Court Hearings
  • Scientific Claim Verification with Fine-Tuned NLI Models
  • Data Governance to Be a Data-Driven Organization
  • Smart Data Stewardship: Innovating Governance and Quality with AI
  • Semantic Support Points for on the Fly Knowledge Encoding in Heterogenous Systems
  • EX-DSS: An Explorative Decision Support System for Designing and Deploying Smart Plug Forecasting Pipelines
  • Assessing the Use of Online Platforms in Sharing Tacit Knowledge in Innovation Networks
  • Development of a Concept Map Evaluation Support System for Social Studies Learning
  • Values and Enablers of Lessons Learned Practices: Investigating Construction Industry Context
  • Evaluation of the Contribution of Knowledge Management to Efficiency in the Manufacturing Industry Through Machine Learning
  • A Comprehensive Approach for Graph Data Warehouse Design: A Case Study for Learning Path Recommendation Based on Career Goals
  • Exploring Centralized, Decentralized, and Hybrid Approaches to Micro-Credential Issuance in HEI Alliances
  • Evaluating Healthcare Automation: A Multi-Case Study on the Utilization of Automation Initiatives in Healthcare Operations
  • Knowledge Management in Civil Protection at the Example of Fire Brigades
  • Charting the Transformation of Enterprise Information Management: AI Explainability and Transparency in EIM Practice
  • Digital Transformation of B2B Sales Processes
  • Sales Development in Business-to-Business Markets
  • Importance of Context Awareness in NLP
  • Uncertainty Analysis in Population-Based Dynamic Microsimulation Models: A Review of Literature
  • Exploring Knowledge Sharing Motivational Factors for Intellectual Property Lawyers: A Conceptual Framework
  • How Organizational Improvisational, Transformational Leadership Styles Impact Innovation Performance of Start-Up Companies in VUCA Environments
  • Performing Entity Relationship Model Extraction from Data and Schema Information as a Basis for Data Integration
  • FAIRlead: A Conceptual Framework for a Model Driven Software Development Approach in the Field of FAIR Data Management
  • Knowledge Pyramid Perspective of the Political Data Ecosystem: A Case Study of Bhutan
  • Support Learning Design and Analytics with EduP Knowledge Model
  • Crafting the Future: Developing and Evaluating a Digital Mindset Competence Model for the Industrial Craft Sector
  • Using Formal Concept Analysis for Corpus Visualisation and Relevance Analysis
  • ML System Engineering Supported by a Body of Knowledge
  • Benchmarking of Retrieval Augmented Generation: A Comprehensive Systematic Literature Review on Evaluation Dimensions, Evaluation Metrics and Datasets
  • Connecting Critical Infrastructure Operators and Law Enforcement Agencies to Share Cyber Incident Information with Early Warning Systems
  • Development Areas in Knowledge Management Processes in Social and Health Care Services: A Pilot Study
  • Transforming Knowledge Management Using Generative AI: From Theory to Practice
  • Predicting Agricultural Product and Supplies Prices Using Artificial Intelligence
  • Temporal Analysis of Brazilian Presidential Election on Twitter Based on Formal Concept Analysis
  • DOM-Based Online Store Comments Extraction
  • Business Intelligence Solutions Adoption Model for Peruvians SMEs Based on UTAUT2
  • The Web Unpacked: A Quantitative Analysis of Global Web Usage
  • Prediction Web Application Based on a Machine Learning Model to Reduce Robberies and Thefts Rate in Los Olivos, San Martín De Porres and Comas
  • Trust the Data You Use: Scalability Assurance Forms (SAF) for a Holistic Quality Assessment of Data Assets in Data Ecosystems
  • Speaking the Same Language or Automated Translation? Designing Semantic Interoperability Tools for Data Spaces
  • Technological Model for Cryptocurrency Payments in E-Commerce
  • Enterprise Architecture to Optimize the Sales Process Using the TOGAF ADM Cycle in Companies in the Retail Sector
  • Utilization of Clustering Techniques and Markov Chains for Long-Tail Item Recommendation Systems
  • SLIM-RAFT: A Novel Fine-Tuning Approach to Improve Cross-Linguistic Performance for Mercosur Common Nomenclature
  • Learning to Predict Email Open Rates Using Subject and Sender
  • Model for Detecting Illegal Tree Felling in the Protected Area of Bagua in Amazonas Using Convolutional Neural Networks
  • Exploiting Data Spatial Dependencies for Employee Turnover Prediction
  • An Approach for Automatic Bidirectional Mapping Between Data Models and RDF-S
  • A Model Driven-Based Approach for Converting Feature Models of Software Product Lines to OWL Ontologies
  • Platform-Agnostic MLOps on Edge, Fog and Cloud Platforms in Industrial IoT
  • Investigating the Use of Accessibility Standards in Radio Frequency-Based Indoor Navigation: Challenges and Opportunities in the Development of Solutions for Visually Impaired Individuals
  • Is Generative AI Mature for Alternative Image Descriptions of STEM Content?
  • Implementing AI for Enhanced Public Services Gov.br: A Methodology for the Brazilian Federal Government
  • Towards Interoperability of Systems of Systems Using GraphQL
  • Human-Centric Dev-X-Ops Process for Trustworthiness in AI-Based Systems
  • Enable Business Users to Embed Dynamic Database Content in Existing Web-Based Systems Using Web Components and Generic Web Services
  • Moving into Co-Creative Robotics
  • OMNIMOD: Automating Ontology Modularization for Digital Library Data Using CIDOC-CRM as Use Case
  • LLMs Based Approach for Quranic Question Answering
  • Construction of a Questionnaire to Measure the Learner Experience in Online Tutorials
  • Microfront-End: Systematic Mapping
  • Application of Machine Learning Models to Predict e-Learning Engagement Using EEG Data
  • A Systematic Literature Review on Continuous Integration and Deployment (CI/CD) for Secure Cloud Computing
  • Decentralizing Democracy with Semantic Information Technology: The D-CENT Retrospective
  • Analyzing Tweets Using Topic Modeling and ChatGPT: What We Can Learn About Teachers and Topics During COVID-19 Pandemic-Related School Closures
  • Analysis: Accessibility of VR Games Could Be Better
  • Impact of a Split into Single Items on the Response Rate of the User Experience Questionnaire Short (UEQ-S)
  • Improving Recommendation Quality in Collaborative Filtering by Including Prediction Confidence Factors
  • Access Control Integration in Sparkplug-Based Industrial Internet of Things Systems: Requirements and Open Challenges
  • FASTER-AI: A Comprehensive Framework for Enhancing the Trustworthiness of Artificial Intelligence in Web Information Systems
  • SECURER: User-Centric Cybersecurity Testing Framework for IoT System
  • Viewpoint Analysis of Autism-Related Comments in Reddit During COVID-19
  • Automated Hybrid Ransomware Family Classification
  • An Empirical Study to Use Large Language Models to Extract Named Entities from Repetitive Texts
  • Using Chat GPT for Malicious Web Links Detection
  • Assessing Unfairness in GNN-Based Recommender Systems: A Focus on Metrics for Demographic Sub-Groups
  • Hate Speech Detection Using Cross-Platform Social Media Data in English and German Language
  • SPACED: A Novel Deep Learning Method for Community Detection in Social Networks
  • IntelliFrame: A Framework for AI-Driven, Adaptive, and Process-Oriented Student Assessments
  • Cybersecurity Testing for Cobots
  • ODKAR: “Ontology-Based Dynamic Knowledge Acquisition and Automated Reasoning Using NLP, OWL, and SWRL”
  • Towards Developing an Ontology for a Digital Twin in Battery Testing
  • Extracting API Structures from Documentation to Create Virtual Knowledge Graphs
  • Linking Digital Twin Design and Ontologies with Model-Driven Engineering: Application to Railway Infrastructure
  • Multiple Model Iterative Learning Control of FES Electrode Arrays
  • Domain-Decoupled Physics-informed Neural Networks with Closed-Form Gradients for Fast Model Learning of Dynamical Systems
  • Solving the Holed Space Budgeted Maximum Coverage Problem with a Discrete Selection Problem
  • Epidemic Modeling and Control: An ARX Approach for Measles Containment
  • A Switching Event-Triggered Model Predictive Control for HVAC Systems
  • A Neural Network-Based Controller Towards Achieving Near-Natural Gait in Transfemoral Amputees
  • HyPredictor: Hybrid Failure Prognosis Approach Combining Data-Driven and Knowledge-Based Methods
  • Identification of TITO Systems Using Modified Decentralized Relay Feedback
  • Iterative Learning Control for Linear Time-Varying Systems in the Presence of Iteration-Varying Disturbance
  • Two-Stage Fault Detection and Control Approach for DFIG-Based Wind Energy Conversion System
  • Influence of Ship-to-Ship Interaction on Formation Control of Multi-Vessel Systems
  • On Solving Controlled-Invariance Problems in Dioids Using the PyMinMaxGD Python Scripts Library
  • Towards UAV-USV Collaboration in Harsh Maritime Conditions Including Large Waves
  • Characteristics-Based Least Common Multiple: A Novel Clustering Algorithm to Optimize Indoor Positioning
  • Towards Seamless Digitization in OPC UA
  • Reinforcement Learning for Autonomous Headland Turns
  • A Decentralized Guaranteed Collision Avoidance Control Framework for Multi-Vehicle Systems in Highly Constrained Spaces
  • Implementation of 12 Transition Controls for Rotary Double Inverted Pendulum Using Direct Collocation
  • Model-Free versus Model-Based Reinforcement Learning for Fixed-Wing UAV Attitude Control Under Varying Wind Conditions
  • Memory-Based Learning of Global Control Policies from Local Controllers
  • Solving Multi-Agent Pathfinding with Stochastic Local Search SAT Algorithms
  • SkRobot with TeleoR/QuLog: A Pseudo-Realtime Robotics Data Distribution Service Extended with Production Rules and Reasoning
  • Nanosensors for Soft Robotics Exoskeletons
  • Application of the Schur Complement in Sum of Squares Optimisation
  • Multi-Step Simulation Improvement for Time Series Using Exogenous State Variables
  • A Taxonomy for Complexity Estimation of Machine Data in Machine Health Applications
  • On the Role of Artificial Intelligence Methods in Modern Force-Controlled Manufacturing Robotic Tasks
  • Towards Increasing Robot Autonomy in CHARM Facility: Network Performance, 3D Perception, and Human Robot Interface
  • Analysis of Truncated Singular Value Decomposition for Koopman Operator-Based Lane Change Model
  • A Modified Sandpile Model for Simulating Lava Fountains at Mt Etna
  • Comparison of Lateral Controllers for Autonomous Vehicles Based on Passenger Comfort Optimization
  • A Hybrid Constraint- and Search-Based Approach on the Stockyard Planning Problem
  • Automatic Placement of Digital Signals in Railway Digitalization: A Constraint Approach
  • Subsurface Metallic Object Detection Using GPR Data and YOLOv8 Based Image Segmentation
  • Optimizing Small-Scale Surgery Scheduling with Large Language Model
  • Multi-Risk Assessment and Management in the Presence of Personal Light Electric Vehicles
  • A Novel Reliable Leader-Following Consensus for Continuous-Time Multi-Agent Systems Under Nonhomogeneous and Asynchronous Markov Network Topology
  • Towards a Modular Human-Robot Safety Control System Using Petri Nets
  • 0-DMF: A Decision-Support Framework for Zero Defects Manufacturing
  • Deep-CNN with Bacterial Foraging Optimization Based Cascaded Hybrid Structure for Diabetic Foot Ulcer Screening
  • Study of the Influence of a Force Bias on a Robotic Partner During Kinesthetic Communication
  • Data-Driven Predictive Maintenance for Component Life-Cycle Extension
  • Using Imitation Learning to Implement Control Orchestration for Smart Chassis
  • Enhancing Visual Odometry Estimation Performance Using Image Enhancement Models
  • Water Optimization in Digital Farming
  • Safety Assessment of Human-Robot Collaborations Using Failure Mode and Effects Analysis and Bow-Tie Analysis
  • Combating Agricultural Challenges with Secure Digital Farming
  • Dynamic Position Estimation and Flocking Control in Multi-Robot Systems
  • A New Observer-Based Fault Tolerant Shared Control for SbW Systems with Actuator Fault for Driver Assistance
  • Q-Learning Based LQR Occupant-Centric Control of Non-Residential Buildings
  • Identification of Piezoelectric Actuator Using Bayesian Approach and Neural Networks
  • An Approach for Fractional Commensurate Order Youla Parametrization using q-weighted Operator
  • Using Shapley Additive Explanations to Explain a Deep Reinforcement Learning Agent Controlling a Turtlebot3 for Autonomous Navigation
  • Third Order Super Twisting Based Robust Tracking of 2-DOF Helicopter with State Estimation
  • Moving Horizon Planning and Control for Autonomous Vehicles with Active Exploration and Fallback Strategies
  • A Study on Optimizing Signal Path in Model Predictive Control and Fault Detection System of Three-Tank Pilot System Using Reference Architecture
  • Data-Driven Intrusion Detection in Vehicles: Integrating Unscented Kalman Filter (UKF) with Machine Learning
  • Motion Control Unit Design for Control Prototyping of Modern BLDC/PMSM Drives and Piezo Actuators
  • Automatic Control and Health Monitoring of a 3-Dimentional Overhead Crane with Minimally Required Sensor Devices
  • Validated Uncertainty Propagation for Estimation and Measure Association, Application to Satellite Tracking
  • Identifying Kinetic Model Parameters and Implementing 3-DOF Control for a Dual-Thruster USV: A Case Study Using the VRX Simulation Environment
  • Epidemic Impact of Temporary Large People Mass Fluxes: The COVID-19 and the Jubilee 2025 Reference Case
  • Potato Leaf Disease Detection Approach Based on Transfer Learning with Spatial Attention
  • Modelling and Simulation of an Autonomous Pod-Tethered Quadcopter Drone System for Aviation Applications
  • Semantic Segmentation with GLCM Images
  • Modelling and Analysis of Spread Characteristics of Arbovirus Infections
  • Sliding Mode Control for Inverse Response Systems: A Trajectory Tracking Study
  • Computing Bounds for the Synchronization Errors of Nonidentical Nonlinear Oscillators with Time-Varying Diffusive Coupling
  • Modeling Sunlight in Gazebo for Vision-Based Applications Under Varying Light Conditions
  • A Tool for Mass Generation of Random Step Environment Models with User-Defined Landscape Features
  • A Comparison of Adaptive PID, Adaptive Dual-PID and Adaptive Fractional PID Controllers for a Nonlinear System with Variable Parameters
  • Miniature Autonomous Vehicle Environment for Sim-to-Real Transfer in Reinforcement Learning
  • Visual Servoing for Vine Pruning Based on Point Cloud Alignment
  • Recommendation of Optimal Mitigation Actions Using Causal Inference in LOCA Events at Nuclear Power Plants
  • In-Depth Analysis of Recall Initiators of Medical Devices with a Machine Learning-Natural Language Processing Tool
  • Local Motion Planning for Overtaking Maneuvers in a Rural Road Environment
  • A Case Study in Building 2D Maps with Robots
  • Multimodal 6D Detection of Industrial Pallets, in Real and Virtual Environments, with Applications in Industrial AMRs
  • Automated Detection of Defects on Metal Surfaces Using Vision Transformers
  • Uncertainty-Aware DNN for Multi-Modal Camera Localization
  • Autonomous Forklift Navigation Inside a Cluttered Logistics Factory
  • Development of a Lithium-Ion Battery Lifetime Prediction Model Using Deep Learning for Short-Term Learning
  • Control of Fixed-Wing Tethered Aircraft in Circular Take-Off and Landing Maneuvers
  • A Modular Multimodal Multi-Object Tracking-by-Detection Approach, with Applications in Outdoor and Indoor Environments
  • NODE and Contraction Methods for Dynamics Learning from Human Expert Demonstrations
  • Nonlinear Control and State Estimation for the Hand Axes of a Pneumatic Robot
  • Knowledge Graph Extraction from Retrieval-Augmented Generator: An Application in Aluminium Die Casting
  • Spray Quality Assessment on Water-Sensitive Paper Comparing AI and Classical Computer Vision Methods
  • RoboMorph: In-Context Meta-Learning for Robot Dynamics Modeling
  • A Comparative Analysis of Methods for Hand Pose Detection in 3D Environments
  • Does Path Tracking Benefit from Sequential or Simultaneous RL Speed Controls?
  • Triplet Neural Networks for the Visual Localization of Mobile Robots
  • Video Summarization Techniques: A Comprehensive Review
  • Cooperation and Synchronization of Robotic Tasks Using a Digital Twin
  • A Vision Based System for Assisting Blind People at Indoor and Outdoor Exploration
  • Uncertainty Hypervolume in Point Feature-Based Visual Odometry
  • Evaluation of Open-Source OCR Libraries for Scene Text Recognition in the Presence of Fisheye Distortion
  • Advanced Techniques for Corners, Edges, and Stacked Gaps Detection and Pose Estimation of Cardboard Packages in Automated Dual-Arm Depalletising Systems
  • Setting up a Digital Twin for Real-Time Remote Monitoring of a Cyber-Physical System
  • Multi-Modal Deep Learning Architecture Based on Edge-Featured Graph Attention Network for Lane Change Prediction
  • Model-Based Digital Twin for Collaborative Robots
  • Low-Cost Robot Construction Focused on Educational Environments
  • Streamlining Data Integration and Decision Support in Refinery Operations
  • Unscented Transform-Based Pure Pursuit Path-Tracking Algorithm Under Uncertainty
  • Applying a Systematic Approach to Design Human-Robot Cooperation in Dynamic Environments
  • Human-Robot Cooperation in Disassembly: A Rapid Review
  • Intuitive Human-Robot Interface: A 3-Dimensional Action Recognition and UAV Collaboration Framework
  • Drone Technology for Efficient Warehouse Product Localization
  • EMG-Based Shared Control Framework for Human-Robot Co-Manipulation Tasks
  • Adaptive Highway Traffic Management: A Reinforcement Learning Approach for Variable Speed Limit Control with Random Anomalies
  • A Vision Based Warning System for Safe Distance Driving with Respect to Cyclists
  • LiDAR-Based Object Recognition for Robotic Inspection of Power Lines
  • CRANEBot: Teleoperated Crane-Suspended Robotic System for Inspection and Manipulation in Harsh Environments
  • Expanded Applicability: Multi-Agent Reinforcement Learning-Based Traffic Signal Control in a Variable-Sized Environment
  • Asset Administration Shell Digital Twin of 5G Communication System
  • Augmented Feasibility Maps: A Simultaneous Approach to Redundancy Resolution and Path Planning
  • Automated Mission Management of Small Unmanned Aircraft Systems for Critical Events in Urban Air Traffic
  • HERA Centroiding Image Processing Algorithm Based on the Normalised Correlation with a Lambertian Sphere
  • Software Toolchain for Offline-Programming a Jig-Less Fiber Placement Process Using Cooperating Robots
  • Evaluating Diversification in Group Recommendation of Points of Interest
  • Soft Querying JSON Datasets with Personalized Preferences and Aggregations
  • Alternative Step-Size Adaptation Rule for the Matrix Adaptation Evolution Strategy
  • Automated Design of Routing Policies for the Dynamic Electric Vehicle Routing Problem with Genetic Programming
  • Working on the Structural Components of Evolutionary Approaches
  • Randomized Local Search for Two-Dimensional Bin Packing and a Negative Result for Frequency Fitness Assignment
  • Generating Small Instances with Interesting Features for the Traveling Salesperson Problem
  • Control of Biohybrid Actuators Using Neuroevolution
  • Impact of Spatial Transformations on Exploratory and Deep-Learning Based Landscape Features of CEC2022 Benchmark Suite
  • Tangled Program Graphs with Indexed Memory in Control Tasks with Short Time Dependencies
  • Educational Evolutionary Neural Architecture Search for Time Series Prediction
  • Genetic Programming for 5×5 Matrix Multiplication
  • Automated Design of a Genetic Algorithm for Image Segmentation Using the Iterated Local Search
  • A Simple yet Effective Algorithm for the Asteroid Routing Problem
  • Randomized Local Search vs. NSGA-II vs. Frequency Fitness Assignment on The Traveling Tournament Problem
  • Fitness Histograms of Expert-Defined Problem Classes in Fitness Landscape Classification
  • Hybrid Genetic Programming and Deep Reinforcement Learning for Low-Complexity Robot Arm Trajectory Planning
  • Surrogate Modeling for Efficient Evolutionary Multi-Objective Neural Architecture Search in Super Resolution Image Restoration
  • Open Source Evolutionary Computation with Chips-n-Salsa
  • Using Secondary Inherited Characteristics During Reproductive Choice to Replicate Allopatric Speciation
  • A Vector Autoregression-Based Algorithm for Dynamic Many-Objective Optimization Problems
  • Step Size Control in Evolutionary Algorithms for Neural Architecture Search
  • Improving the Performance of Genetic Algorithms for Combinatorial Optimization Using Machine Learning for Knowledge Transfer
  • Grammatical Evolution of Synthesizable Finite State Machine-Based Behavioural Level Hardware Description Language Codes
  • Modelling and Simulation of Adaptive Multi-Agent Systems with Stochastic Nets-within-Nets
  • Optimizing Genetic Algorithms Using the Binomial Distribution
  • Real-Time IoMT-driven Optimisation for Large-Scale Home Health Care Planning
  • Studying the Relationship Between Crossover Features and Performance on MNK-Landscapes Using Regression Models
  • Sampling in CMA-ES: Low Numbers of Low Discrepancy Points
  • Trade Data Harmonization: A Multi-Objective Optimization Approach for Subcategory Alignment and Volume Optimization
  • Frequency Fitness Assignment: Optimization Without Bias for Good Solution Outperforms Randomized Local Search on the Quadratic Assignment Problem
  • A Modified Preference-Based Hypervolume Indicator for Interactive Evolutionary Multiobjective Optimization Methods
  • Cartesian Genetic Programming Is Robust Against Redundant Attributes in Datasets
  • Fractal Analysis of the Subset-Sum Problem
  • L-SAGA: A Learning Hyper-Heuristic Architecture for the Permutation Flow-Shop Problem
  • Neuromorphic Encoding / Decoding of Data-Event Streams Based on the Poisson Point Process Model
  • Computer Vision Based Smart Security System for Explainable Edge Computing
  • Analyzing Exact Output Regions of Reinforcement Learning Policy Neural Networks for High-Dimensional Input-Output Spaces
  • Graph Hierarchy and Language Model-Based Explainable Entity Alignment of Knowledge Graphs
  • Deep Learning and Multi-Objective Evolutionary Fuzzy Classifiers: A Comparative Analysis for Brain Tumor Classification in MRI Images
  • Fitness Landscape Analysis of a Cell-Based Neural Architecture Search Space
  • Feature Importance for Deep Neural Networks: A Comparison of Predictive Power, Infidelity and Sensitivity
  • XAIMed: A Diagnostic Support Tool for Explaining AI Decisions on Medical Images
  • Explainability Applied to a Deep-Learning Based Algorithm for Lung Nodule Segmentation
  • Prediction of Alzheimer Disease on the DARWIN Dataset with Dimensionality Reduction and Explainability Techniques
  • LLM-Generated Class Descriptions for Semantically Meaningful Image Classification
  • Design of an Iterative Method for Deep Multimodal Feature Fusion in Heart Disease Diagnostics Utilizing Explainable AI
  • TX-Gen: Multi-Objective Optimization for Sparse Counterfactual Explanations for Time-Series Classification
  • Approximated Fuzzy p-values by Bootstrapped Fuzzy Distributions and Fuzzy Hypotheses Testing
  • Enhanced Missing Data Imputation Using Intuitionistic Fuzzy Rough-Nearest Neighbor Approach
  • Monitoring and Control of Power Preparedness of Athletes in Flatwater Rowing and Canoeing Using Strain Gauges
  • Healing the Everyday Athlete, Evaluating the Impact of Recovery Wear Garment Use on Musculoskeletal Health in an Occupational Setting
  • Motion Causal Network Analysis for Quantitative Evaluation of Baseball Form by Video Analysis
  • Real-Time Tactical Analysis: Leveraging GNSS Position Data for Tactical Behavior
  • Design and Implementation of a Stone Rotation Measurement System with IMU Sensor and Stone Behavior Presentation System
  • Sensor Module Application in the Design of an Automatic Tabletop Hockey Product Prototype for Leisure Activities and Mental Fitness
  • Punch Type Classification and Hit Judgement Using Estimated Skeletal Model in Boxing Match Videos
  • Assessing Physical Activity Levels While Playing Virtual Reality Exergames: A Pilot Study
  • Optimizing Youth Basketball Training Through the Novel and Entertaining Approach of Self-Perception Evaluation Channel
  • Biomechanics of the Lower Extremity in Youth Football League: FIFA 11+ One Leg Squat Analysis
  • Towards a Smart Luge that Measures Steering Input of the Rider
  • Synthetic Data for Foot Strike Angle Estimation
  • 5G-Based Body Sensor Network for Real-Time Feedback in Running
  • SportsNGEN: Sustained Generation of Realistic Multi-Player Sports Gameplay
  • A Player Position Tracking Method Based on a Wide-Area Pan-Tilt-Zoom Video
  • The Stress Is Real: Physiological Measurement of League of Legends Players Experience During a Live Esports Event
  • The Effects of Exergaming on Executive Functions in Children with ADHD: A Protocol of Systematic Review and Meta-Analysis
  • Performance Analysis in Volleyball: Problem of Merging Attack and Counterattack Spike as One Variable
  • Analysis of the 'Zero Step' IHF Handball Rule 7.3.d. in Open and Closed Motor Performance Program
  • Analyzing Factors that Lead to NBA Regular Season Success
  • Characterizing Locomotor Activity and Internal Load in VR-Based Exergames for Post-Musculoskeletal Injury Rehabilitation
  • A Human Pose Estimation Method from Pseudo-Captured Two-Viewpoints Video
  • The Development of Automatic Training Analysis Using 3D Accelerometer in Male Young Elite Soccer Team
  • Data Visualization for Dynamic Strength Index: A Qualitative Approach for Enhanced Interpretation and Decision-Making
  • Y–Balance Test in Female Gymnasts
  • Evaluating Sensor Placement and Feature Importance for Hurling Movement Classification
  • autoWT: A Semi-Automated ML-Based Movement Tracking System for Performance Tracking and Analysis in Olympic Weightlifting
  • Enhancing Speed Climbing Performance and Optimizing Training Methods Through Advanced Video Analysis
  • Impact Distance Detection in Tennis Forehand by an Inertial System
  • Development of a Simple Tracking System to Monitor Curling Stone Dynamics
  • Creation of Training Data and Training for Prediction Model of Curling Scores Using Real Game Data
  • Quantification of Visual Search Motion During Basketball in VR Simulation
  • Estimation of Overlapped Tactical Actions from Soccer Match Video
  • Towards Fairness in Machine Learning: Balancing Racially Imbalanced Datasets Through Data Augmentation and Generative AI
  • AI-Based Preliminary Modeling for Failure Prediction of Reactor Protection System in Nuclear Power Plants
  • Anomaly Detection in eSport Games Through Periodical In-Game Movement Analysis with Deep Recurrent Neural Network
  • Combined Depth and Semantic Segmentation from Synthetic Data and a W-Net Architecture
  • Invertibility of ReLU-Layers: A Practical Approach
  • Online Match Prediction in Shogi Using Deep Convolutional Neural Networks
  • Quantum Neural Network Design via Quantum Deep Reinforcement Learning
  • A Graph-Based Deep Learning Model for the Anti-Money Laundering Task of Transaction Monitoring
  • A Federated K-Means-Based Approach in eHealth Domains with Heterogeneous Data Distributions
  • A Comparison of Advanced Machine Learning Models for Food Import Forecasting
  • Unsupervised Feature Selection Using Extreme Learning Machine
  • Searching for Idealized Prototype Learning for Interpreting Multi-Layered Neural Networks
  • Neuron Labeling for Self-Organizing Maps Using a Novel Example-Centric Algorithm with Weight-Centric Finalization
  • Contrastive Learning and Abstract Concepts: The Case of Natural Numbers
  • Spatial Learning and Overfitting in Visual Recognition and Route Planning Tasks
  • Temporal Complexity of a Hopfield-Type Neural Model in Random and Scale-Free Graphs
  • Leveraging Deep Learning for Approaching Automated Pre-Clinical Rodent Models
  • Assessing Forecasting Model Robustness Through Curvature-Based Noise Perturbations
  • LSTM versus Transformers: A Practical Comparison of Deep Learning Models for Trading Financial Instruments
  • Predictive Models for United States House Prices
  • Ensemble Learning Based Models for Planet Classification
  • Analysis and Evaluations for the Detection Results of the Advanced Telescopes
  • Research on Asset Allocation Based on Quantitative Investment
  • Research of Machine Learning and Feature Selection in Wine Quality Prediction
  • Stock Prediction Based on Traditional Statistical Models, Machine Learning Models and Fusion Models
  • Searching Extra-Planet Based on Radial Velocity, Transit and Direct Imaging
  • The Prediction of Feedback with Demographics & Locations of Users in Online Food Delivering Based on Machine Learning Models
  • Research on the Correlation Between Multiple Risk Factors and Diabetes Mellitus
  • Analysis and Comparison of the State-of-Art Telescopes: Evidence from JWST, EHT and FGST
  • Research on Housing Prices Forecasts Based on A Multiple Linear Regression Model
  • Stock Price Prediction Based on CNN, LSTM and CNN- LSTM Model
  • Geological Features of Geographical Biomes and Their Environmental Impact
  • Research on the Influence Factors that Possibly Lead to Diabetes
  • Predicting New York Housing Prices: A Comparative Analysis of Machine Learning Models
  • Probing Candidates for Dark Matter: Evidence from WIMPs and Axions
  • Machine Learning-Based Wine Quality Predictive Modelling
  • Machine Learning Methods for Heart Disease Prediction
  • Probing Life with Planet Searching and Habitat Evaluation: Evidence from Moon, Mars and WASP-96b
  • Decision of Production Combinations Based on Cournot Model and Linear Programming
  • Transmission Analysis and Future Trend Prediction of Deyr City's B1H3 Virus by SIR Modelling
  • Word Stand or Hit: Simulation of Blackjack by Programming
  • Understanding Secondary Forests: From Definitions to Regional Case Studies in China
  • Water System Evolution and Influencing Factors in Wuhan City over the past 40 Years via Remote Sensing
  • Principle and Applications of Telescopes: Refracting, Reflecting and Catadioptric Telescopes
  • Unveiling the Invisible: The Interplay Between Dark Matter and Dark Energy in Cosmic Evolution
  • Research on Traffic Violation Factors in Vehicle Insurance Pricing Based on Generalized Linear Model
  • Application of Game Theory in Option Pricing: A Binomial Tree Model Approach
  • Studying Land Evolution Patterns and Influencing Factors in Wuhan City over the Past 40 Years Using Remote Sensing
  • Research on Factors Influencing Indoor Air Quality in Houses: Case Study of Shanghai
  • Red Wine Prediction Comparing Several Machine Learning Models
  • Monitoring Spatiotemporal Distribution Characteristics of Air Pollutants in Tianjin by Satellite Remote Sensing
  • Climate Change and Coastal Line Shifts: Advances in Remote Sensing Monitoring
  • Analysis the Principle and the State-of-Art Scenarios for Asteroid Detection
  • Spatial and Temporal Evolution of Carbon Sink in the Three North Forest Region Based on Remote Sensing Date
  • Axion-Like Particles and Their Cosmological Consequences
  • The Role of Dark Matter in Galaxy Formation and Evolution
  • Probing Exoplanets Based on Transit, Radial Velocity and Direct Imaging
  • The Study on the Influencing Factors of Housing Price
  • The Role of Remote Sensing in Surveillance and Assessment of Climate Change
  • Searching Dark Matter Candidate Based on the State-of-Art Facilities: Evidence from WIMPs and ALPs
  • Precision Aquaculture: An Integrated Computer Vision and IoT Approach for Optimized Tilapia Feeding
  • Leveraging AI to Mitigate Risks in Yoga Practice: A Real-Time Posture Correction Application
  • Recent Extraction and Spatial Analysis of Yangtze River Estuary Coastline Using Multi-Source Remote Sensing Data
  • Comparative Analysis of Machine Learning Models for Stroke Risk Prediction
  • Stock Price Prediction Based on Deep Learning
  • Prediction of the West Texas Intermediate Crude Oil Price Using ARIMA Model and ARIMA-GARCH Model
  • Remote Sensing-Based Spatiotemporal Analysis of Land Use Changes in Shanghai
  • Analysis of the State-of-Art Observations for Gravitational Wave Searching
  • Developing an Artificial Intelligence Model to Enhance the Emotional Intelligence of Motor Vehicle Drivers for Safer Roads
  • Building Atlas of Knowledge Maps: Towards Smarter Collaboration
  • A Model for Designing Personalized and Context-Aware Nudges
  • REACT: Revealing Evolutionary Action Consequence Trajectories for Interpretable Reinforcement Learning
  • Precise Estimation of Urban Vegetation Carbon Stock Using Multi-Source LiDAR: A Case Study of East China Normal University
  • H ∞ Type Control of Periodic Stochastic Systems Subject to Multiplicative White Noises: Application to Satellite AOCS Design
  • Optimizing a Multi-Level Logistics Network: Exploring the Location and Assignment of 3D Printed Orthotic Facilities
  • Efficient Implementation of Piecewise Quadratic Lyapunov Function Computations for Switched Linear Systems
  • Effects of Cognitive Load Variation on Anthropomorphism During a Cooperative Human-Robot Pick-and-Place Task
  • Analysis of Drivers' Path Follow Behaviour
  • BVE + EKF: A Viewpoint Estimator for the Estimation of the Object's Position in the 3D Task Space Using Extended Kalman Filters
  • Component Replacement Study of 3D Human Pose Estimation Models in Real-World Complex Sports Scenarios: Focusing on Head Impact Events
  • Extending DEMO Action Rule Specifications’ Syntax in a Low Code Platform Based Municipality Hearing System Implementation
  • Stealing Brains: From English to Czech Language Model
  • Finding Strong Lottery Ticket Networks with Genetic Algorithms
  • Leveraging Ontologies for Handicraft Business Process Modeling: Application for the Pastry-Making Domain
  • Youla-Kučera Parameterization: Theory and Applications
  • HTEKG: A Human-Trait-Enhanced Literary Knowledge Graph with Language Model Evaluation
  • Elementary Multiperspective Material Ontology: Leveraging Perspectives via a Showcase of EMMO-Based Domain and Application Ontologies
  • Design and Evaluation of Microteaching: Emergent Learning for Acquiring Classroom Management Skill in Teacher Education
  • End-to-End Steering for Autonomous Vehicles via Conditional Imitation Co-Learning
  • Advanced Nonlinear Control for an Omnidirectional Spherical Robot Integrating Aerial and Ground Mobility
  • On the Use of Ontologies for Defining, Generating and Exploring the Resulting Simulations of Application Level Protocols
  • Knowledge Sharing in Financial Institutions to Assist with IT Service Management: A Thematic Analysis
  • Enhancing LLMs with Knowledge Graphs for Academic Literature Retrieval
  • Separating the Yes- from the No-Instances in the Number Partitioning Problem
  • Testing Emergent Bilateral Symmetry in Evolvable Robots with Vision
  • The Performance of Frequency Fitness Assignment on JSSP for Different Problem Instance Sizes
  • Explaining Explaining
  • Optimal Segmentation of LPV Systems for Control Applications via Genetic Algorithms
  • META: Deep Learning Pipeline for Detecting Anomalies on Multimodal Vibration Sewage Treatment Plant Data
  • FSL-LFMG: Few-Shot Learning with Augmented Latent Features and Multitasking Generation for Enhancing Multiclass Classification on Tabular Data
  • Integrated Evaluation of Semantic Representation Learning, BERT, and Generative AI for Disease Name Estimation Based on Chief Complaints
  • Insights into the Potential of Fuzzy Systems for Medical AI Interpretability
  • Knowledge Discovery in Optical Music Recognition: Enhancing Information Retrieval with Instance Segmentation
  • Text-Based Feature-Free Automatic Algorithm Selection