-
An Event-Driven Closed-Loop Ultrasound Stimulator Composed of a Micro-Transducer and Multi-Site Electrodes in Vitro
-
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
-
Coronary Artery Stenosis Assessment in X-Ray Angiography Through Spatio-Temporal Attention for Non-Invasive FFR and iFR Estimation
-
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
-
Evaluation of Orthogonal Vector Projection Method in ST Algorithm for Generating Differential Diagnoses of Chest Pain: A Pilot Study
-
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
-
Wildlife Species Classification on the Edge: A Deep Learning Perspective
-
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
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Augmenting Human-Robot Collaboration Task by Human Hand Position Forecasting
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On Feasibility of Transferring Watermarks from Training Data to GAN-Generated Fingerprint Images
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Social Distancing Monitoring by Human Detection Through Bird’s-Eye View Technique
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Combining Progressive Hierarchical Image Encoding and YOLO to Detect Fish in Their Natural Habitat
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An Assistive Technology Based on Object Detection for Automated Task List Generation
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Region-Transformer: Self-Attention Region Based Class-Agnostic Point Cloud Segmentation
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Evaluating the Usability of a 3D Map Visualizer Augmented Reality Application
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Behind the Lens: Exploring UV Reflection
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Visual Insights in Human Cancer Mutational Patterns: Similarity-Based Cancer Classification Using Siamese Networks
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Important Pixels Sampling for NeRF Training Based on Edge Values and Squared Errors Between the Ground Truth and the Estimated Colors
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Relationship Between Semantic Segmentation Model and Additional Features for 3D Point Clouds Obtained from on-Vehicle LIDAR
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Pedestrian's Gaze Object Detection in Traffic Scene
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Optical Illusion in Which Line Segments Continue to Grow or Shrink by Displaying Two Images Alternately
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Security, Privacy and the “Human Factor”: Making Sense of the Paradoxes of Security and Privacy Behaviour
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The Dance of Logic and Unpredictability: Examining the Predictability of User Behavior on Visual Analytics Tasks
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Automatic Error Correction of GPT-Based Robot Motion Generation by Partial Affordance of Tool
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Towards Value Awareness in the Medical Field
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Learning End-to-End Deep Learning Based Image Signal Processing Pipeline Using a Few-Shot Domain Adaptation
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Prototyping a Low-Cost Flexible Sensor Glove for Diagnostics and Rehabilitation
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Feature Selection Improves Speech Based Parkinson's Disease Detection Performance
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Neuromotor Pattern of the Upper Limb in Hygiene Activities Using Electromyography and Accelerometery Technology
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Real-Time 3D Information Visualization on Mobile Devices: Efficient Occlusion Detection for Geospatial Applications
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Aggregating Predicted Individual Hospital Length of Stay to Predict Bed Occupancy for Hospitals
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Exploring the Design of Low-End Technology to Increase Patient Connectivity to Electronic Health Records
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Hôsea: A Touch Table for Cognitive and Motor Rehabilitation for the Elderly - A Preliminary Study
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Smart Home Privacy: A Scoping Review
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Deep Q-Networks for Imbalanced Multi-Class Malware Classification
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Double Trouble? Impact and Detection of Duplicates in Face Image Datasets
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Evaluation of K-Means Time Series Clustering Based on Z-Normalization and NP-Free
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Cycle-Accurate Virtual Prototyping with Multiplicity
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Lens Flare-Aware Detector in Autonomous Driving
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Non-Local Context-Aware Attention for Object Detection in Remote Sensing Images
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AV-PEA: Parameter-Efficient Adapter for Audio-Visual Multimodal Learning
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Between Gaming and Microclimate Simulations: Temperature Estimation of an Urban Area
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Learning on Forecasting HIV Epidemic Based on Individuals' Contact Networks
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The Beyond 5G (B5G) Era of Next-Generation Digital Networks: Preliminary Study of a Task-Technology Fit (TTF) Model for Remote Robotic Surgery Applications
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Characterization of Telemedicine Patients to Discover Patient Journeys Using Process Mining
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Automatic Viewpoint Selection for Interactive Motor Feedback Using Principal Component Analysis
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Assessment of the Detectability of Vulnerable Road Users: An Empirical Study
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High Throughput Neural Network for Network Intrusion Detection on FPGAs: An Algorithm-Architecture Interaction
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Enhancing Cybersecurity Through Comparative Analysis of Deep Learning Models for Anomaly Detection
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Anomaly Detection Methods for Finding Technosignatures
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Generation of H&E-Stained Histopathological Images Conditioned on Ki67 Index Using StyleGAN Model
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Predicting Children's Myopia Risk: A Monte Carlo Approach to Compare the Performance of Machine Learning Models