• Developing a Head-Attached Interface Device for Closed-Loop Transcranial Ultrasound Stimulation in the Mouse Brain
• White Light Spectroscopy for Mammalian Cell Viability/Quality Assessment: Towards an Online, Label-Free and Sampling-Less System to Simplify Quality Control in CAR T-Cells Production
• Simulation and Evaluation of Thermal Effects Under MRI for Cochlear Implants
• Electrical Response of Bacteria Cells in Water as Detection Mechanism
• Heat Transfer in Laparoscopic Trocar System: Analytical and Numerical Study
• Modeling of an Electric-Based Defogging System for Laparoscopy
• Sorting Circulating Tumor Cells: A Low Flow Microfluidic Pre-Enrichment Function for Improved Separation in Serial Two-Stage Sorting Device
• STELLA+: Expanding the Research Potential for Long-Term Deep Brain Stimulation Studies in Freely-Moving Rodents
• A Brief Discussion on PDMS Surface Wettability Enhancement Methods for Microfluidic Applications
• Towards AI-Based Kinematic Data Analysis in Hand Function Assessment: An Exploratory Approach
• Embedded System for Responsive Optogenetic Control of Spontaneous Seizures in a Preclinical Temporal Lobe Epilepsy Model
• The Bigger the Better? Towards EMG-Based Single-Trial Action Unit Recognition of Subtle Expressions
• Electrical Properties of Filled PVA-C for Bioelectrical Impedance Spectroscopy Phantoms
• Low Power Logarithmic Current-to-Digital Converter (CDC) Inspired by Molecular Genetic Processes for Biomedical Applications
• Development of WHO Guideline-Complying CD4 Diagnostic Chip
• Design and Implementation of Capacitive Drip Rate Monitoring Sensor for Intravenous (IV) Administration
• Wearable Sensor Framework for Rehabilitation Monitoring Following Knee-Related Conditions
• The 3D Printing Center for Health: Advancing Personalized Healthcare Solutions Through Additive Manufacturing
• Investigation on Microliter Free Jetting Using a Piezoelectric Micro Pump
• An Easy-to-Implement Multi-Channel Stepper Motor Control System Based on MCU and FPGA
• Evaluating Time-Constant Models in Electrodermal Activity Using Continuous Multi-Frequency Impedance Spectroscopy
• Sweat Quantification During Electrodermal Analysis Combining Paper-Based Microfluidics with Printable Electrodes: Design and Materials
• Enhancing Image Quality to Improve Medical Image Classification: Application to Nuclear Medicine Planar Images
• OCTA Image-Based Machine Learning Models for Discriminating Alzheimer’s Disease from Neurodegenerative and Ocular Conditions
• Retinoblastoma Detection: Leveraging Deep Learning and Residual Connections for Enhanced Diagnostic Accuracy
• Analysis of 3D Urticaceae Pollen Classification Using Deep Learning Models
• Assessing the Influence of a CADx Scheme on Radiologists' Analysis of Breast Nodules in Digital Mammography Using Specialized Feedback Software
• Bioimages Synthesis and Detection Through Generative Adversarial Network: A Multi-Case Study
• 3D View Reconstruction from Endoscopic Videos for Gastrointestinal Tract Surgery Planning
• Preliminary Results on Using Clustering of Functional Data to Identify Patients with Alzheimer’s Disease by Analyzing Brain MRI Scans
• Deep Learning Denoising of Low-Dose Computed Tomography Using Convolutional Autoencoder: A Phantom Study
• Deep Learning-Based Classification of Stress in Sows Using Facial Images
• Use of Radiomics in Low Dose Chest CT: A Proposal for a Phantom Multi-Centric Study
• DEMIS: Electron Microscopy Image Stitching Using Deep Learning Features and Global Optimisation
• U-Net in Histological Segmentation: Comparison of the Effect of Using Different Color Spaces and Final Activation Functions
• Stratum Corneum Light Confinement: Monte Carlo Verification
• 3D Visualization and Interaction for Studying Respiratory Infections by Exploiting 2D CNN-Derived Attention Maps and Lung Models
• Using MIRNet for Low Light Image Enhancement
• A Real-World Segmentation Model for Melanocytic and Nonmelanocytic Dermoscopic Images
• Pilot Study of Distinct Graphs Models in Analysis of Brain Aging in Resting-State Functional Connectivity Networks
• Using Machine Learning to Identify Crop Diseases with ResNet-18
• First Results on Graph Similarity Search in Resting-State Functional Connectivity Networks Using Spectral and Graph Edit Distances
• Automating Compression Ultrasonography of Human Thigh Tissue and Vessels via Strain Estimation
• Post-Processing of Thresholding or Deep Learning Methods for Enhanced Tissue Segmentation of Whole-Slide Histopathological Images
• Enhancing the Efficiency of the Grouping-Scoring-Modeling Framework with Statistical Pre-Scoring Component for Transcriptomic Data Analysis
• On the Detection of Retinal Image Synthesis Obtained Through Generative Adversarial Network
• Enhanced Body Composition Estimation from 3D Body Scans
• Generating Multiple Alignments of Genomes of the Same Species
• From Polar Bears to People: The Role of Ethnic Genetic Variation in Thermoregulation and Heat-Related Health Risk
• Highly Interpretable Prediction Models for SNP Data
• Feasibility of Inferring Spatial Transcriptomics from Single-Cell Histological Patterns for Studying Colon Cancer Tumor Heterogeneity
• A Framework for Reproducible Parallel DNA String Matching
• Machine Learning-Based Prediction of Key Genes Correlated to the Subretinal Lesion Severity in a Mouse Model of Age-Related Macular Degeneration
• Machine Learning Methods for Phenotype Prediction from High-Dimensional, Low Population Aquaculture Data
• Optimized Machine Learning Models for Accurate Detection of Candida spp. in Gram-Stained Microscopy Images
• Metaheuristics Applied to Optimal Feature Selection for Accurate Predictive Models in Smart Health: A Case Study on Hypotension Prediction in Hemodialysis Patients
• Algorithms for Fast and Efficient Sequence Alignment
• Lower Leg Joint Strategies in the Outside Pass in Soccer
• Leveraging Large Language Models and RNNs for Accurate Ontology-Based Text Annotation
• Towards a New Method for Perturbation Analysis in Biochemical Pathways Based on Network Propagation
• Assessing the Influence of scRNA-Seq Data Normalization on Dimensionality Reduction Outcomes
• PathDisGene: Discovering Informative Gene Groups for Disease Diagnosis Using Pathway-Disease Associations and a Grouping, Scoring, Modeling-Based Machine Learning Approach
• Identifying Inflammatory Bowel Disease-Associated Gene Ontology Groups Using Biological Knowledge-Based Machine Learning
• 2.5D Deep Learning Model with Attention Mechanism for Pancreas Segmentation on CT Scans
• Electroencephalograph Based Emotion Estimation Using Multidimensional Directed Coherence and Neural Networks Under Noise
• Clustering Single-Cell RNA-seq Data: Impact of Data Binarization on Algorithmic Performance
• Modeling HIF-ILK Interaction Using Continuous Petri Nets
• The Devil Lies in the Details for Species Coexistence Stability in Ablated and Unablated Five-Species Evolutionary Spatial Cyclic Games
• Enhanced Graph Representations of Chromatin Interaction Networks
• Impact of Biased Data Injection on Model Integrity in Federated Learning
• System DietadHoc: A Fusion of Human-Centered Design and Agile Development for the Explainability of AI Techniques Based on Clinical and Nutritional Data
• Unveiling Vocal Phenotypes of Dysphonia with Unsupervised Learning
• Development of a Procedure for Detecting Dementia Symptoms Using Features in Differential Waveforms of the Pupil Light Reflex
• Investigating Behavioral and Neurophysiological Responses Across Landslide Scenarios in Virtual Reality
• Generative Adversarial Network for Image Reconstruction from Human Brain Activity
• Routine Pattern Learning and Anomaly Detection Applied to Lone Workers Through Topic Modeling
• Automatic Ocular Artifact Correction in Electroencephalography for Neurofeedback
• Short-Term Effects of Mindful Uni-Nostril Breathing on Cardio-Autonomic Functions: A Randomized Controlled Trial
• Toward Designing a Reduced Phone Set Using Text Decoding Accuracy Estimates in Speech BCI
• Exploring the Relationship Between Intracavitary Electrohysterogram Characteristics from Contraction and Window Analysis
• PPG Signal Quality Classification Using STFT and CNN with the BUT PPG Database
• Modulating Cerebral Rhythms in Parkinson's Disease: Insights on the Role of Auditory Stimulation
• Enhanced Assessment of Gait Dynamics in Multiple Sclerosis: A Signal Processing Approach for Extracting Range of Motion Using Wearable IMUs
• Effects of Class Imbalance in Unsupervised Human Activity Recognition for Office Work Task Characterization
• Automatic Classification of Parkinson’s Disease Through the Fusion of Sustained Vowel Descriptors
• Heart Rate Turbulence: Wavelet Analysis of Frequency Modulated Signals
• Multi-Scale Probabilistic Score Fusion for Enhancing Alzheimer’s Disease Detection Using EEG
• An EEG-Based Study Investigating Cognitive and Behavioral Reactions to Indian Knowledge System Narratives in Virtual Reality
• Comparative Study of Data Processing Techniques for Pancreatic Islets in Organ-on-Chip Applications
• Novel and Efficient Hyperdimensional Encoding of Surface Electromyography Signals for Hand Gesture Recognition
• Investigation of the Relational Strength Between Suspected Atrial Fibrillation Triggers and Detector-Based Arrhythmia Episode Occurrence
• Predicting Respiratory Depression in Neonates Using Deep Learning Neural Networks
• Preliminary Technical Test of Different Physiological Modalities to Detect Workload in Humans in Microgravity
• Changes in Attention Levels While Driving a Car Estimated Using Modelling Techniques with Features of Oculo-Motors
• A Novel Cuff-Less and Calibration-Free Blood Pressure Estimation Framework Using Single Photoplethysmogram
• Comparison Between the Effects of Continuous and non-Continuous Visual Feedback on Motor Learning While Playing a Muscle-Controlled Serious Game
• Analyzing Male Depression Using Empirical Mode Decomposition
• Impact of Feature Extraction Optimization on Machine Learning Models for sEMG-Based Prosthesis Control
• Comparison Between Machine Learning and Deep Learning on Multiple Motor Imagery Paradigms in a Low-Resource Context
• Comparative Analysis of Generalized Multiscale Entropy Methods for Coarse-Grained Time Series Construction in Assessing Autonomic Balance in Peripheral Arterial Disease Patients
• Facial Profile Biometrics: Domain Adaptation and Deep Learning Approaches
• Greedy Brain Source Localization with Rank Constraints
• Advancements in Wearable EEG Technology: Electrode Characterization and Signal Quality Assessment
• Review on the Effects of Hypergravity on Workload and Fine Motor Skills in Humans
• Towards Human Posture Detection Based on Differential Measurements Using Wearable Barometric Pressure Sensors
• A Novel Approach to Modelling Multi-Channel and Multi-Phase Signals on an Angular Coordinate Axis (Semani)
• Unified CNN-Transformer Model for Mental Workload Classification Using EEG
• Assessing Electrocardiogram Quality: A Deep Learning Framework For Noise Detection And Classification
• Reproducible Gating for High-Resolution Flow Cytometric Characterization of Extracellular Vesicles in Next-Generation Biomarker Studies
• Histopathological Imaging Dataset for Oral Cancer Analysis: A Study with a Data Leakage Warning
• Electroencephalography Analysis Frameworks for the Driver Fatigue Problem: A Benchmarking Study
• A Flexible and Open-Source Tool for Genetic Variant Annotation
• Aspect-Level Sentiment Analysis of Filipino Tweets During the COVID-19 Pandemic
• Formal Concept Analysis Applied to Characterize Longitudinal Associations Between Depressive and Anxiety Disorders and Somatization
• A Multiple Source Data Collection and Integration Paradigm for the Creation of a Dynamic COPD Data Mart
• Raising the Confidence of Mothers in Preterm Birth Care: Exploring the Secondary Role of the Internet
• A Model-Checking Framework for Neuro-Degenerative Deficit Screening and Personalized Training
• Approximation of Inertial Measurement Unit Data to Time Series Kinematic Data Through Correlation Analysis and Machine Learning
• Machine Learning-Based Clinical Decision Support Systems in Dementia Care
• Analysis of Health Indicators for Heart Disease Based on Formal Concept Analysis
• Deep Learning for ECG-Derived Respiration Using the Fantasia Dataset
• An Unsupervised Machine Learning Approach for Clustering Hip Arthroplasty Patients: Surgery Duration Differs Among Different Patient Groups
• The Development and Validation of the “Attitudes Towards Digitalization” (Att-Dig) Questionnaire
• Coordinates Transformed Signal Compression Method (CoTSiC): A Novel Algorithm for Tele-Medicine Applications
• Relationships Between Central Quality Assurance Criteria for the Assessment of Statutory Health Insurance Patients for Further Development Using Medical Informatics Methods
• Quantifying the Role of Active Listening and Reassurance in Virtual Health Coach Interactions
• Healful Dataset: Integrating Wearable Data with Self-Reported Quality of Life Assessments
• Optimizing Blood Transfusions and Predicting Shortages in Resource-Constrained Areas
• The Use of Formal Concept Analysis for Characterizing the Behavior of the Residents of Bangladesh Regarding the COVID-19 Pandemic
• Using Machine Learning to Assess the Impact of Harsh Violent Discipline on Children and Adolescents in Low- and Middle-Income Countries: A Comparative Analysis Focusing on Its Relationship with Disabilities
• Czech Salivary Gland Database
• Unveiling Breast Cancer Causes Through Knowledge Graph Analysis and BioBERT-Based Factuality Prediction
• A Proposal for Explainable Breast Cancer Detection from Histological Images
• Selection of Representative Instances Using Ant Colony Optimization: A Case Study in a Database of Newborns with Congenital Zika in Brazil
• Enhancing Diagnostic Accuracy of Drug-Resistant Tuberculosis on Chest X-Rays Using Data-Efficient Image Transformers
• HealthAIDE: Developing an Audit Framework for AI-Generated Online Health Information
• Analysis of the Relationship Between Intelligence, Sensory Processing Sensitivity and the Digital Tree Drawing Test: A Feasibility Study
• Novel Approach to De-Identify Relational Healthcare Databases at Rest: A De-Identification of Key Data Approach
• Understanding Stroke Risk Profiles in Middle-Aged Adults: A Genetic Algorithm-Based Feature Selection Aproach
• A Study on mHealth Adherence for Bipolar Disorder: A Case Study with the BraPolar2 Application
• Comprehensive Evaluation of Regression and Classification Models on Brain Stroke Datasets
• The Role of Digital Health Literacy and Socioeconomic Factors in Colorectal Cancer Screening: Machine Learning Analysis of HINTS Data
• Identifying an Autoinflammatory Syndrome Cohort Using Natural Language Processing with Electronic Medical Record Data
• Multi-Modal Framework for Autism Severity Assessment Using Spatio-Temporal Graph Transformers
• Approaches to Promoting Patients’ and Citizens’ eHealth Literacy
• LOINC Mapping Experiences in Italy: The Case of Friuli-Venezia Giulia Region
• D-Care: A Multi-Tone LLM-Based Chatbot Assistant for Diabetes Patients
• Overview of Best Communication Practices in Inclusive Spaces for People with Disabilities: A Qualitative Study in Portuguese-Speaking Countries
• Holistic Cyber Threat Modeling for Machine Learning-Based Systems: A Case Study in Healthcare
• Affective Computing in Anxiety Disorders: A Rapid Literature Review of Emotion Recognition Applications
• Key Factors in Achieving Intersectoral Interoperability: A Scoping Review
• Protocol Design for in-Class Projects: Comparative Analysis of EEG Signals Among Sexes
• Design and Implementation of an Open Clinical Trials Platform Using HL7® FHIR® Within the Orthokids-Project
• Anxiety Detection in Reddit Posts Through Emotion Dynamics Analysis
• Assessing Goal Disengagement Using a Digital, Card-Based Game: A Proof of Concept Study
• Comparison of Different User Interfaces for 360-Degree Videos in VR-Based Healthcare Education
• Predicting Falls from Operational Data: Insights and Limitations of Using a Non-Specialized Database
• A Pre-Study on Tremor Classification During Activities of Daily Living
• Design Thinking Process for a Gamified Mobile App to Improve Migrants’ Well-Being and Inclusion
• Assessing Dietary Protein Intake: A Comparative Study of Two Consumer Mail-In Nutrition Test Kits
• Optimization of a Deep-Learning-Based Cough Detector Using eXplainable Artificial Intelligence for Implementation on Mobile Devices
• Federated Learning in Multi-Center, Personalized Healthcare for COPD and Comorbidities: The RE-SAMPLE Platform
• Mobility: Promoting Health and Physical Activity in School Environments
• Privacy-Preserving Mortality Prediction in ICUs Using Federated Learning
• Eyes as Windows to the Heart: Predicting Heart Rate from Pupillometric Features
• Multiscale Entropy Analysis of Continuous Glucose Monitoring Data: A Comparative Study of Diabetic and Healthy Populations
• Leveraging LLMs and RAG for Schema Alignment: A Case Study in Healthcare
• Comparison of Bluetooth Low Energy (BLE), Wi-Fi, Serial and 5G in IoMT
• MIDTs: Interdisciplinary Method for Technological Research Development with a Focus on Health
• Preliminary Usability Evaluation of a Virtual Reality (VR) Application for Quitting Nicotine Vaping
• Online Communities for Promoting Physical Activity: A Scoping Review of Use, Characteristics and Research Gaps
• Assessing Signal Noise Effects on Machine Learning Models for ECG-Based Cardiac Diagnosis
• Can We Trust Explanation! Evaluation of Model-Agnostic Explanation Techniques on Highly Imbalanced, Multiclass-Multioutput Classification Problem
• Virtual Dynamic Keyboard for Communication in Intensive Care
• Impact of Balancing and Regularization on the Semantic Segmentation of Gleason Patterns
• CFC Annotator: A Cluster-Focused Combination Algorithm for Annotating Electronic Health Records by Referencing Interface Terminology
• Evidence on Robotic Prostatectomy: Discussing the Limitations of Real-World Data
• Enhancing Fracture Aftercare Through a Human-Centered Mobile App Design
• Physiology-Guided Blood Glucose Predictive Model Using Minimal Blood Glucose Dynamics
• Mental Wellbeing at Sea: A Prototype to Collect Speech Data in Maritime Settings
• Multidimensional Correlations in the Implementation in Medical Informatics and Their Statistical and Epidemiological Evaluations in the Quality Assurance in the Medical Advisory Board in Germany
• Extensive Conformance Testing and Validation of FHIR Data Exchange Variabilities
• Trends in Drug Prescriptions in the Outpatient Physician Sector in a German Federal State from 2014 to 2023 Using Morbidity Related Groups, Correlations and Partial Correlations
• Assessing the Practicality of Designing a Comprehensive Intelligent Conversation Agent to Assist in Dementia Care
• Integrating Clinical Expertise into Software Development: Evaluating the Use of openEHR Archetypes for Requirements Elicitation in Healthcare Applications
• Coastal and Rural Digital Exclusion: The Case for Voice AI
• Expertise versus Data: Comparison of Expertise Based Process Models to Process-Mining Models of Surgery Under General Anesthesia
• Profiling Cancer Patients in Telemedicine: A Case Study in Chilean Private Healthcare
• Challenges of Generalizing Machine Learning Models in Healthcare
• Reconsidering AHI as an Indicator of Sleep Apnea Severity: Insights from Mining Large, Longitudinal Sleep Datasets
• Quality Clustering for Reducing the Search Space for Mobile Stroke Unit Allocation
• Usability Evaluation of a Chatbot for Fitness and Health Recommendations Among Seniors in Assisted Healthcare
• Mobile Data Collection for Depression Analysis: An App Framework for Monitoring Mood and Depression Using Smartphone and Wearable Data
• U-Net in Medical Imaging: A Practical Pathway for AI Integration in Healthcare
• Digital Medication Prescription System with JSON
• Leveraging Cross-Verification to Enhance Zero-Shot Prompting for Care Document Data Extraction
• Using Machine Learning to Analyze the Impact of Lifestyle and Socioeconomic Factors on the Incidence of Depression Among Young Brazilians
• Smartphone Inertial Sensors in Gait Analysis: A Comparison with a Commercial Device
• Analysing Digital Platforms and Online Communities for Promoting Physical Activity
• Performance Analysis of a Data Stream Processing System for Online Activity Classification via Wearable Sensor Data
• Multimorbidity in Heart Failure Patients: Application of Machine Learning Algorithms to Predict Imminent Health Outcomes
• Innovation in Geriatric Care: An AI Assistant with LLM Integration Based on Health Guidelines
• Recognising Care-Related Activities with a Convolutional Neural Network Using Inertial Measurement Units
• Prioritization of Exploit Codes on GitHub for Better Vulnerability Triage
• Qualitative In-Depth Analysis of GDPR Data Subject Access Requests and Responses from Major Online Services
• Designing Data Trustees: A Prototype in the Building Sector
• To Be or Not to Be (in the EU): Measurement of Discrepancies Presented in Cookie Paywalls
• Analyzing a Concurrent Self-Modifying Program: Application to Malware Detection
• A Value-Driven Approach to the Online Consent Conundrum: A Study with the Unemployed
• Got Ya!: Sensors for Identity Management Specific Security Situational Awareness
• Revisiting Permission Piggybacking of Third-Party Libraries in Android Apps
• Knowledge Modelling for Automated Risk Assessment of Cybersecurity and Indirect Patient Harms in Medical Contexts
• A Customizable Security Risk Assessment Framework Using Multi-Attribute Decision Making for IoT Systems
• Managing a Ransomware Attack: The Resilience of a Swedish Municipality – A Case Study
• Robust Blockchain-Based Federated Learning
• A Novel Pairing-Free ECC-Based Ciphertext-Policy Attribute-Based Proxy Re-Encryption for Secure Cloud Storage
• CASTL: A Composable Source Code Query Language for Security and Vulnerability Analysis
• ConCERTS: An IoT Cybersecurity Research Range for Education, Experimentation, and Security Research
• Current Research, Challenges, and Future Directions in Stalkerware Detection Techniques for Mobile Ecosystems
• Enabling Trusted Data Sharing in Data Spaces: PROTON - A Privacy-by-Design Approach to Data Products
• Secure Opportunistic Routing Protocol in VANETs
• Systematisation of Security Risk Knowledge Across Different Domains: A Case Study of Security Implications of Medical Devices
• Iterative Learning-Based Intrusion Detection System for Performance Enhancement in Imbalanced Data Environments
• Exploring the Accuracy and Privacy Tradeoff in AI-Driven Healthcare Through Differential Privacy
• GAI-Driven Offensive Cybersecurity: Transforming Pentesting for Proactive Defence
• Cyber Threat Modeling of an LLM-Based Healthcare System
• CDAC: Content-Driven Access Control Architecture for Smart Farms
• Cybersecurity Challenges in Critical Infrastructure: A Perspective on Regulations and Competence in Luxembourg
• PenQuestEnv: A Reinforcement Learning Environment for Cyber Security
• CampusQuest: Motivating Computer Science Students for Cybersecurity from Day One
• USB-IDS-TC: A Flow-Based Intrusion Detection Dataset of DoS Attacks in Different Network Scenarios
• Data Collection in Cyber Exercises Through Monitoring Points: Observing, Steering, and Scoring
• CyberWise: Virtual Security Learning Platform
• Evaluating Keystroke Dynamics Performance in e-Commerce
• A Conceptual SOC Framework for Air Traffic Management Systems
• A Reflection on Process-Oriented Industrial IoT Security Management
• Management of Customized Privacy Policies
• Evaluating and Defending Backdoor Attacks in Image Recognition Systems
• Large Language Models in Cybersecurity: State-of-the-Art
• Precise Detection of Security Checks in Program Binaries
• Device-Bound vs. Synced Credentials: A Comparative Evaluation of Passkey Authentication
• Exploring Efficiency of Machine Learning in Profiling of Internet of Things Devices for Malicious Activity Detection
• SGX-PrivInfer: A Secure Collaborative System for Quantifying and Mitigating Attribute Inference Risks in Social Networks
• Privacy- & Utility-Preserving Data Releases over Fragmented Data Using Individual Differential Privacy
• Cybersecurity Fundamentals Training Among Middle School Students: Building a Strong Foundation
• Distributed Machine Learning and Multi-Agent Systems for Enhanced Attack Detection and Resilience in IoT Networks
• HybridMTD: Enhancing Robustness Against Adversarial Attacks with Ensemble Neural Networks and Moving Target Defense
• De-Anonymization of Health Data: A Survey of Practical Attacks, Vulnerabilities and Challenges
• Using Compact DNSSEC and Self-Signed Certificate to Improve Security and Privacy for Second-Level Domain Resolution
• Analytical Evaluation of Time-Based Cryptography
• Memory-Saving Oblivious RAM for Trajectory Data via Hierarchical Generation of Dummy Access over Untrusted Cloud Environment
• Scrooge: Detection of Changes in Web Applications to Enhance Security Testing
• The Digital Loophole: Evaluating the Effectiveness of Child Age Verification Methods on Social Media
• Is My Data in Your Retrieval Database? Membership Inference Attacks Against Retrieval Augmented Generation
• Dynamic-Differential Privacy based on Feature Selection with Improved Usability and Security
• Attackers’ Profiling Based on Multi-Attack Patterns in SSH Service
• Comprehensive Feature Selection for Machine Learning-Based Intrusion Detection in Healthcare IoMT Networks
• Enhanced Predictive Clustering of User Profiles: A Model for Classifying Individuals Based on Email Interaction and Behavioral Patterns
• X-Ray Radiation Effects on SRAM-Based TRNG and PUF
• EK-Means: Towards Making Ensemble K-Means Work for Image-Based Data Analysis Without Prior Knowledge of K
• Randomizing Forger Selection to Improve Decentralization in Proof of Stake Consensus Protocol
• Connected Vehicles Data Classification and the Influence of a Sustainable Data Governance for Optimal Utilisation of In-Vehicle Data
• Securing the Device Lifecycle Management: A Scalable and Cost-Efficient Public Key Infrastructure Through Microservices
• Security Analysis of Biased Basis for Efficient BB84
• Navigating the Security Challenges of LLMs: Positioning Target-Side Defenses and Identifying Research Gaps
• Privacy Preservation for Machine Learning in IIoT Data via Manifold Learning and Elementary Row Operations
• On the Effect of Dataset Size and Composition for Privacy Evaluation
• Evaluating the Efficacy of LINDDUN GO for Privacy Threat Modeling for Local Renewable Energy Communities
• LLM-Based Fine-Grained ABAC Policy Generation
• Hybrid Classical Quantum Learning Model Framework for Detection of Deepfake Audio
• Security Analysis of a Color Image Encryption Scheme Based on a Fractional-Order Hyperchaotic System
• Logic Locking for Random Forests: Securing HDL Design and FPGA Accelerator Implementation
• A Targeting Attack by Dynamic Fake QR Code Using Invisible Laser Irradiation
• Towards Efficient Cloud Data Processing: A Comprehensive Guide to CKKS Parameter Selection
• Exploring Attack Paths Using Graph Theory: Case - Microsoft Entra ID Pass-Through Authentication
• RiVS: Reputation in VoIP Systems
• Leash: A Transparent Capability-Based Sandboxing Supervisor for Unix
• A2CT: Automated Detection of Function and Object-Level Access Control Vulnerabilities in Web Applications
• CyLLM-DAP: Cybersecurity Domain-Adaptive Pre-Training Framework of Large Language Models
• Improving Locally Differentially Private Graph Statistics Through Sparseness-Preserving Noise-Graph Addition
• Autonomous Cyber Defence by Quantum-Inspired Deep Reinforcement Learning
• Objective- and Utility-Based Negotiation for Access Control
• A Secret Key Spreading Protocol for Extending ETSI Quantum Key Distribution
• A Hybrid Approach for Detecting SQL-Injection Using Machine Learning Techniques
• The Dual-Edged Sword: The Impact of Large Language Models in Network Infrastructure Security
• VBSF: A Visual-Based Spam Filtering Technique for Obfuscated Emails
• Assessing the Effectiveness of an LLM-Based Permission Model for Android
• Investigating the Effectiveness of Zero–Trust Architecture for Satellite Cybersecurity
• Introducing Virtuality - Virtual Care Process Simulator: A Concept Utilizing Synthetic Data and a Digital Health Sandbox for Care Process Simulations
• ExSnus: A Persuasive Mobile Health Application for Snus Cessation
• A Low-Noise Amplifier in Submicron CMOS for Neural Recording on Optogenetics Applications
• Development of Optrodes and Instrumentation for Wireless Optogenetic Application
• Millimeter-Wave Systems for Real-Time Intraoperative Brain Tumor Resection Assistance
• Low-Cost Photoacoustic System for Biomedical Applications
• Exploring Endothelial Cell Adhesion to High-Resolution 3D Printing Materials for Advanced Organ-on-Chip Fabrication
• Detection of Arm Swing Limitations in Simulated Parkinson’s Disease Gait Conditions: A Pilot Study
• From Controlled to Free-Living Contexts: Expanding the Monitoring of Motor Symptoms in Parkinson’s Disease with Wearable mHealth Technologies
• Development of a Proof-of-Concept Portable Electrostimulation Device for Lower Limbs Blood Flow Enhancement
• Gesture Recognition Through the Implementation of a Bimodal Acquisition System Using EMG and FMG Signals
• Powered Wearable Technologies for Dementia Care: Evaluating Activity Recognition Models and Dataset Challenges
• Exploring the EarMetrics Concept: The Bony Ear Canal as a Non-Pigmented Site for Photoplethysmography
• Wearable Electrodermal Activity Sensor for Real-Time Stress Detection Using Machine Learning
• Petri Net Modeling of Root Hair Response to Phosphate Starvation in Arabidopsis Thaliana
• Transfer-Modal Extraction of Surface EMG Features for Upper Limb Motor Classification
• Analyzing Cognitive Patterns in Gifted Children Using MRI and Morphometric Similarity Networks
• Real-Time Detection of Multi-File DOM-Based XSS Vulnerabilities Using Static Analysis: A Developer-Oriented Approach for Securing Web Applications
• Compliance Standards and Frameworks and Its Implications on Cybersecurity: A NIS2 Study Within the Swedish Automotive Industries
• SABEC: Secure and Adaptive Blockchain-Enabled Coordination Protocol for Unmanned Aerial Vehicles(UAVs) Network
• Design of an Intelligent Trust Management Architecture for 5G Service Deployment
• User Authentication on Remote Connections with Siamese Networks Using Keyboard Usage Behavior and Corresponding Noise Performances
• Instrumented Orthosis for Movement Evaluation and Monitoring in Hand Rehabilitation
• Analysis of Polymers for Additive Manufacturing: Based Contact Pressure and Force Sensors
• Investigating Reinforcement Learning for Histopathological Image Analysis
• Brain MRI Segmentation Using U-Net and SegNet: A Comparative Study Across Modalities with Robust Loss Functions
• Improving Antibody-Antigen Interaction Prediction Through Flexibility with ESMFold
• GenomeCruzer, a 3D Interactive Environment for Genomic Data Visualization and Analysis
• Behavior-Based Deepfake Detection: Leveraging Cognitive Response to Visual Face Perception
• Quantifying Racial Bias in SpO 2 Measurements Using a Machine Learning Approach
• Integrating Gait and Clinical Data with Explainable Artificial Intelligence for Parkinson's Prediction: The EDAM System
• AI Models for Ultrasound Image Similarity Search: A Performance Evaluation
• VIRTUAL-PHYSIO: A Virtual Assistant for Home Physiotherapy Rehabilitation
• Patient Trajectory Prediction: Integrating Clinical Notes with Transformers
• Application of Formal Concept Analysis for Identifying Depression Patterns in Adults in Brazilian National Health Survey
• The Role of Online Communities in Promoting Physical Activity: A Survey on User Preferences and Perceived Impact
• Cross-Domain Transfer Learning for Domain Adaptation in Autism Spectrum Disorder Diagnosis
• Using LLMs to Extract Adverse Drug Reaction (ADR) from Short Text
• GLOW-ENV: A Dual-Data IoE-Based Approach for Integrating Glucose and Environmental Data into a Diabetes Recommendation System
• Using Artificial Intelligence and Large Language Models to Reduce the Burden of Registry Participation
• Using Under-Represented Subgroup Fine Tuning to Improve Fairness for Disease Prediction
• AI-Driven Early Mental Health Screening: Analyzing Selfies of Pregnant Women
• Preparing Ultrasound Imaging Data for Artificial Intelligence Tasks: Anonymisation, Cropping, and Tagging
• Algorithmic Bias from the Perspectives of Healthcare Professionals
• Predicting Adverse Events in Developmental Disabilities Population
• Early Diagnosis of Parkinson’s Disease via Pro-Saccadic Eye Movement Analysis: Multimodal Intermediate Fusion Framework
• Defending Against Phishing Attacks on Cloud-Systems: What Has Been Studied?
• FEST: A Unified Framework for Evaluating Synthetic Tabular Data
• An Alternative Approach to Federated Learning for Model Security and Data Privacy
• Evaluating Explainable AI for Deep Learning-Based Network Intrusion Detection System Alert Classification
• Topology-Driven Defense: Detecting Model Poisoning in Federated Learning with Persistence Diagrams
• Assessing Sweden's Current Cybersecurity Landscape: Implications of NATO Membership
• Privacy Policies in Medium-Sized European Town Administrations: A Comparative Analysis of English and German-Speaking Countries
• Quantum-Resilient IoT: Integrating Hardware-Based Post-Quantum Cryptography for Robust Device Security
• (Deep) Learning About Elliptic Curve Cryptography
• Flow Exporter Impact on Intelligent Intrusion Detection Systems
• A Deontic Logic Model of Attribute-Based Information Flows in Database-Defined Networks with Application to Healthcare Monitoring
• Secure Visual Data Processing via Federated Learning
• Approximations of the Sigmoid Function Beyond the Approximation Domains for Privacy-Preserving Neural Networks
• Flexible Noise Based Robustness Certification Against Backdoor Attacks in Graph Neural Networks
• Gram Root Decomposition over the Polynomial Ring: Application to Sphericalization of Discrete Gaussian
• Early Dental Caries and Demineralization Measurements by Using Portable OCT Scanner
• Light Communication Technology: An Enabling Technology for Sustainable Wired and Wireless Solutions
• Microstructure, Extinction Coefficient, and Chlorophyll Content of Philippine Bamboo Leaves by a Portable TD-OCT Scanner
• Independent Real and Imaginary Spectral Analysis for Improving the Brillouin Frequency Shift Resolution in the Differential Cross-Spectrum BOTDR (DCS-BOTDR) Fiber Sensor
• The Role of Self-Focusing During the Laser Microstructuring in the Volume of Fused Silica
• Simulation and Experimental Validation of a Silicon Photonics Ring Assisted Mach-Zehnder Interferometer Filter
• MILI: Biophotonics Technology for In-Situ, Fast, Accurate and Cost-Effective Milk Analysis
• Advancing Chloride Ion Detection in Edible Oils: Enhanced Sensitivity with NCQD/Ag Nanotriangles via Localized Surface Plasmon Resonance
• Millimeter Wave Imaging Using Up-Conversion Detection Method with Glow Discharge Detector and Photoreceiver Combination
• Increasing Power Output of Quantum Cascade Lasers (QCLs) Added with AlAs/InAs Layers Through Bandgap Engineering
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• RePAD3: Advanced Lightweight Adaptive Anomaly Detection for Univariate Time Series of Any Pattern
• ASPERA: Exploring Multimodal Action Recognition in Football Through Video, Audio, and Commentary
• Graphical Analysis of Abstract Argumentation Frameworks via Boolean Networks
• A Survey of Advanced Classification and Feature Extraction Techniques Across Various Autism Data Sources
• Analysis of the Effectiveness of LLMs in Handwritten Essay Recognition and Assessment
• DiPACE: Diverse, Plausible and Actionable Counterfactual Explanations
• A Novel Vision Transformer for Camera-LiDAR Fusion Based Traffic Object Segmentation
• Transfer Learning in Deep Reinforcement Learning: Actor-Critic Model Reuse for Changed State-Action Space
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• CrowdSim++: Unifying Crowd Navigation and Obstacle Avoidance
• LMSC-UNet: A Lightweight U-Net with Modified Skip Connections for Semantic Segmentation
• Knowledge Graph Enrichments for Credit Account Prediction
• Leveraging Large Language Models for Preference-Based Sequence Prediction
• SAT: Segment and Track Anything for Microscopy
• A Discrete Non-Additive Integral Based Interval-Valued Neural Network for Enhanced Prediction Reliability
• Webcam-Based Pupil Diameter Prediction Benefits from Upscaling
• CriX: Intersection of Crime, Demographics and Explainable AI
• CNN-Trans: A Two-Branch CNN Transformer Model for Multivariate Time Series Classification
• ABBIE: Attention-Based BI-Encoders for Predicting Where to Split Compound Sanskrit Words
• Iterative Environment Design for Deep Reinforcement Learning Based on Goal-Oriented Specification
• Approximate Probabilistic Inference for Time-Series Data: A Robust Latent Gaussian Model with Temporal Awareness
• Centralised Urban Traffic Routing Using Mixed-Integer Programming
• GWNet: A Lightweight Model for Low-Light Image Enhancement Using Gamma Correction and Wavelet Transform
• A Hybrid Approach for Assessing Research Text Clarity by Combining Semantic and Quantitative Measures
• Household Task Planning with Multi-Objects State and Relationship Using Large Language Models Based Preconditions Verification
• BevGAN: Generative Fisheye Cross-View Transformers
• Powerful & Generalizable, Why not both? VA: Various Attacks Framework for Robust Adversarial Training
• Dynamic Graph Representation with Contrastive Learning for Financial Market Prediction: Integrating Temporal Evolution and Static Relations
• TAL4Tennis: Temporal Action Localization in Tennis Videos Using State Space Models
• Enhancing Appearance-Based Gaze Estimation Through Attention-Based Convolutional Neural Networks
• A Two-Phase Safe Reinforcement Learning Framework for Finding the Safe Policy Space
• HPE-DARTS: Hybrid Pruning and Proxy Evaluation in Differentiable Architecture Search
• Equivariant and SE(2)-Invariant Neural Network Leveraging Fourier-Based Descriptors for 2D Image Classification
• A Framework for Developing Robust Machine Learning Models in Harsh Environments: A Review of CNN Design Choices
• BL-MVC: Blockchain Enabled Majority Voting Classifier for Predicting Heart Diseases
• Enhancing LULC Classification with Attention-Based Fusion of Handcrafted and Deep Features
• Sequential Counter Encoding for Staircase At-Most-One Constraints
• An A-Star Algorithm for Argumentative Rule Extraction
• Using Machine Learning to Distinguish Human-Written from Machine-Generated Creative Fiction
• Fruit-HSNet: A Machine Learning Approach for Hyperspectral Image-Based Fruit Ripeness Prediction
• Cross-Domain Generalization with Reverse Dynamics Models in Offline Model-Based Reinforcement Learning
• Comparison of Monolithic and Structural Decision Models Using the Hamming Distance
• Intelligent Human Iris Recognition System Based on Deep Learning Models
• Improving Machine Learning Performance in Credit Scoring by Data Analysis and Data Pre-Processing
• SwarmPrompt: Swarm Intelligence-Driven Prompt Optimization Using Large Language Models
• Facial Empathy Analysis Through Deep Learning and Computer Vision Techniques in Mixed Reality Environments
• QuakeWake: A Novel AI-Based Early Earthquake Warning and Post-Quake Building Safety Guidance System
• Explaining Mammographic Texture: The Role of View and Abnormality Type in Early Cancer Diagnosis
• A Vector Autoregression Model for Depicting the Relation Between Labour Market Economic Indicators and Real Wages in the United States Manufacturing Sector
• Hallucinations in LLMs and Resolving Them: A Holistic Approach
• Beyond Compute: A Weighted Framework for AI Capability Governance
• Machine Learning-Driven Monitoring for Early Detection and Management of Prediabetes
• On the Prediction of a Nonstationary Geometric Distribution Based on Bayes Decision Theory
• Impact of Extended Clauses on Local Search Solvers for Max-SAT
• Evaluating ResNet-Based Self-Explanatory Models for Breast Lesion Classification
• Tunisian Dialect Speech Corpus: Construction and Emotion Annotation
• Hand Gesture Recognition Using MediaPipe Landmarks and Deep Learning Networks
• CuRLA: Curriculum Learning Based Deep Reinforcement Learning for Autonomous Driving
• ML-Based Virtual Sensing for Groundwater Monitoring in the Netherlands
• Beyond Equality Matching: Custom Loss Functions for Semantics-Aware ICD-10 Coding
• Brain-Driven Robotic Arm: Prototype Design and Initial Experiments
• Double Descent Phenomenon in Liquid Time-Constant Networks, Quantized Neural Networks and Spiking Neural Networks
• A Pattern-Based Approach to Name and Address Parsing with Active Learning
• A Systematic Review of Sustainable Supplier Selection Using Advanced Artificial Intelligence Methods
• Examination of Document Clustering Based on Independent Topic Analysis and Word Embeddings
• Optimizing Elevator Performance with SARL Multi-Agent Systems: A Distributed Approach for Enhanced Responsiveness and Efficiency
• The Evolution of Criticality in Deep Reinforcement Learning
• Facility Layout Generation Using Hierarchical Reinforcement Learning
• CAMMA: A Deep Learning-Based Approach for Cascaded Multi-Task Medical Vision Question Answering
• Towards Enhanced Decision Making: Integrating Weighted Expected Solution Points in Multi-Criteria Analysis
• Proof of Learning Applied to Binary Neural Networks
• Early Detection of Harmful Algal Blooms Using Majority Voting Classifier: A Case Study of Alexandrium Minutum, Pseudo-Nitzschia Australis and Pseudo-Nitzschia Fraudulenta
• Data-Driven Fairness Generalization for Deepfake Detection
• Sentiment-Enriched AI for Toxic Speech Detection: A Case Study of Political Discourses in the Valencian Parliament
• Together Is Better! Integrating BDI and RL Agents for Safe Learning and Effective Collaboration
• Revisit the Algorithm Selection Problem for TSP with Spatial Information Enhanced Graph Neural Networks
• Improving Temporal Knowledge Graph Completion via Tensor Decomposition with Relation-Time Context and Multi-Time Perspective
• Traffic Sign Orientation Estimation from Images Using Deep Learning
• Non-Invasive People Counting in Smart Buildings: Employing Machine Learning with Binary PIR Sensors
• Investigating the Configurability of LLMs for the Generation of Knowledge Work Datasets
• Enhancing Personalized Decision-Making with the Balanced SPOTIS Algorithm
• Building a Risk Profile for Detecting Terrorism Financing
• Coconut Palm Tree Counting on Drone Images with Deep Object Detection and Synthetic Training Data
• Implementation of Quantum Machine Learning on Educational Data
• A Refined Multilingual Scene Text Detector Based on YOLOv7
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• Multimodal Stock Price Prediction
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• Enhanced Guided Local Search for Addressing the Graph Burning Problem
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• Scaling Multi-Frame Transformers for End-to-End Driving
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• Predicting the State of Health of Supercapacitors Using a Federated Learning Model with Homomorphic Encryption
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• Predictive Modelling of Agricultural Factors to Maximize Crop Yield
• Towards a Meaningful Communication and Model Aggregation in Federated Learning via Genetic Programming
• Toolshed: Scale Tool-Equipped Agents with Advanced RAG-Tool Fusion and Tool Knowledge Bases
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• AI-Based Personalized Multilingual Course Recommender System Using Large Language Models
• Proposal of an Automated Testing Method for GraphQL APIs Using Reinforcement Learning
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• Applying Informer for Option Pricing: A Transformer-Based Approach
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• A Deep Learning Approach to Minimize Retrieval Time in Shuttle-Based Storage Systems
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• Making Reinforcement Learning Safer via Curriculum Learning
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• Reconstruction of 3D Brain Structures from Clinical 2D MRI Data
• A Concept for Requirements-Driven Identification and Mitigation of Dataset Gaps for Perception Tasks in Automated Driving
• Surface Tracking in Coherence Scanning Interferometry by B-Spline Model and Teager-Kaiser Operator
• Domain-Incremental Semantic Segmentation for Autonomous Driving Under Adverse Driving Conditions
• Principal Direction 2-Gaussian Fit
• Zeroth Order Optimization for Pretraining Language Models
• Object-Centric 2D Gaussian Splatting: Background Removal and Occlusion-Aware Pruning for Compact Object Models
• Class-Specific Dataset Splitting for YOLOv8: Improving Real-Time Performance in NVIDIA Jetson Nano for Faster Autonomous Forklifts
• A New Cluster Validation Index Based on Stability Analysis
• Towards Improving Translation Ability of Large Language Models on Low Resource Languages
• Online Importance Sampling for Stochastic Gradient Optimization
• Machine Learning-Driven Classification of Polyethylene (HDPE, LDPE) via Raman Spectroscopy
• Deep Neural Network Architectures for Advanced Hiking Map Generation
• Exploring Communication in Multi-Agent Reinforcement Learning Under Agent Malfunction
• Euclidean Distance to Convex Polyhedra and Application to Class Representation in Spectral Images
• Assessment of Training Progression on a Surgical Simulator Using Machine Learning and Explainable Artificial Intelligence Techniques
• A Comparative Analysis of Hyperparameter Effects on CNN Architectures for Facial Emotion Recognition
• Anomalous Event Detection in Traffic Audio
• Game State and Spatio-Temporal Action Detection in Soccer Using Graph Neural Networks and 3D Convolutional Networks
• Boosting Language Models for Real-Word Error Detection
• Language-Aware and Language-Agnostic Multilingual Speech Recognition with a Single Model
• Rethinking Post-Training Quantization: Introducing a Statistical Pre-Calibration Approach
• Toward Optimized Predictive Maintenance for Vehicle Systems: Deep Learning-Based Anomaly Detection Using CAN Traffic
• Computation of 2D Discrete Geometric Moments on Quadtrees
• FlowAct: A Proactive Multimodal Human-Robot Interaction System with Continuous Flow of Perception and Modular Action Sub-Systems
• Classification of Oral Cancer and Leukoplakia Using Oral Images and Deep Learning with Multi-Scale Random Crop Self-Training
• SSS: Similarity-Based Scheduled Sampling for Video Prediction
• Multilabel Classification of Otoscopy Images in Deep Learning for Detailed Assessment of Eardrum Condition
• A U-Net-Based Temperature Bias Correction Method for the REMO2015 Regional Climate Model in CORDEX-EA
• An Easy-to-Use System for Tracking Robotic Platforms Using Time-of-Flight Sensors in Lab Environments
• Partition Tree Ensembles for Improving Multi-Class Classification
• Lifelong Learning Needs Sleep: Few-Shot Incremental Learning Enhanced by Sleep
• Union and Intersection K-Fold Feature Selection
• Domain Generalization Using Category Information Independent of Domain Differences
• Automated Handwriting Pattern Recognition for Multi-Level Personality Classification Using Transformer OCR (TrOCR)
• Slice Reconciliation in Continuous-Variable Quantum Key Distribution Using Discrete Modulation
• Quantum Approaches to the 0/1 Multi-Knapsack Problem: QUBO Formulation, Penalty Parameter Characterization and Analysis
• Quantum-Efficient Kernel Target Alignment
• QuLTSF: Long-Term Time Series Forecasting with Quantum Machine Learning
• Applying Quantum Tensor Networks in Machine Learning: A Systematic Literature Review
• Embedding of Tree Tensor Networks into Shallow Quantum Circuits
• Benchmarking Quantum Reinforcement Learning
• Qandle: Accelerating State Vector Simulation Using Gate-Matrix Caching and Circuit Splitting
• Investigating Parameter-Efficiency of Hybrid QuGANs Based on Geometric Properties of Generated Sea Route Graphs
• Unified Framework for Implementing Inaccurate Knowledge in Quantum Symbolic Artificial Intelligence Models
• Quantum Multi-Agent Reinforcement Learning for Aerial Ad-Hoc Networks
• Grid Cost Allocation in Peer-to-Peer Electricity Markets: Benchmarking Classical and Quantum Optimization Approaches
• Optical Fiber Probe Based on Localized Surface Plasmon Resonance of Gold Nanostructures for Chemical Sensing
• Divergent Emotional Patterns in Disinformation on Social Media? An Analysis of Tweets and TikToks About the DANA in Valencia
• Interactive Problem-Solving with Humanoid Robots and Non-Expert Users
• From Interpretability to Clinically Relevant Linguistic Explanations: The Case of Spinal Surgery Decision-Support
• A Modular Framework for Knowledge-Based Servoing: Plugging Symbolic Theories into Robotic Controllers
• Upside-Down Reinforcement Learning for More Interpretable Optimal Control
• Glass-box Automated Driving: Insights and Future Trends
• Extraction of Semantically Coherent Rules from Interpretable Models
• Towards High-Fidelity ECG Generation: Evaluation via Quality Metrics and Human Feedback
• Integrating Late Variable Binding with SP-MCTS for Efficient Plan Execution in BDI Agents
• Population Protocols for Adaptive Event Dissemination with Autonomous Agents in Vehicular Networks
• Pre-Trained Models and Fine-Tuning for Negotiation Strategies with End-to-End Reinforcement Learning
• Explainable AI: A Retrieval-Augmented Generation Based Framework for Model Interpretability
• A Ship Routing Algorithm Generating Precise and Diverse Paths
• A Group Activity Based Method for Early Recognition of Surgical Processes Using the Camera Observing Surgeries in an Operating Room and Spatio-Temporal Graph Based Deep Learning Model
• Temporal Pattern Analysis of Baggage Impact on Flight Operations
• Morphing Between Monotonic Spinner Planar Curves Through Radial-Sign Descriptors
• 1D-DiffNPHR: 1D Diffusion Neural Parametric Head Reconstruction Using a Single Image
• Improving Classification in Skin Lesion Analysis Through Segmentation
• Extracting and Modeling Tabular Data from Marine Geology Publications into a Heterogeneous Information Network
• Enhanced Generative Data Augmentation for Semantic Segmentation via Stronger Guidance
• An OGI Based Unattended Natural Gas Leak Detection System by Utilizing the Power of Machine Learning and Computer Vision
• QMamba: Quantum Selective State Space Models for Text Generation
• Intrusion Detection System Based on Quantum Generative Adversarial Network
• Continuous Quantum Reinforcement Learning for Robot Navigation
• Challenges and Innovations in Digitizing Elderly Care in Switzerland: A Single Case Study
• Adoption and Challenges of Digital Technologies in Home Care for Older Adults in Austria: Bridging Practical and Managerial Perspectives
• Longitudinal Analysis of Disease Progression in the Elderly: An Approach to Mitigate the Burden of Frailty, Functional and Cognitive Decline
• Longitudinal Data Acquisition for AI Services in Long-Term Care Facilities for Older Adults
• EDEN: Towards a Computational Framework to Align Incentives in Healthy Aging
• Beyond Safety: Towards Non-Stigmatizing Mobile Emergency Watches that Empower Older Adults
• Comparative Analysis of the Efficacy in the Classification of Cognitive Distortions Using LLMs
• Sentiment-Aware Machine Translation for Indic Languages
• Multi-Agent AI System for Adaptive Cognitive Training in Elderly Care
• Intraoperative Electrocorticography Signal Synthesis to Improve the Classification of Epileptiform Tissue
• FFAD: Fixed-Position Few-Shot Anomaly Detection for Wire Harness Utilizing Vision-Language Models
• A Taxonomy of Change Types for Textual DSL Grammars
• Automatic Evaluation and Partitioning of Algorithms for Heterogeneous Systems
• Energy Monitoring Systems Analysis and Development: A Case Study for Graph-Based Modelling
• ReMoDeL: A Pure Functional Object-Oriented Concept Language for Models, Metamodels and Model Transformation
• Towards the Model-Driven Development of Adaptive Cloud Applications by Leveraging UML-RT and Container Orchestration
• HyperGraphOS: A Meta Operating System for Science and Engineering
• Next-Generation Design Tools for Intelligent Transportation Systems
• Validation of Requirements Models Using a Graph
• Enabling Incremental SysML Model Verification: Managing Variability and Complexity Through Tagging and Model Reduction
• On the Generation of Input Space Model for Model-Driven Requirements-Based Testing
• An Automata-Based Method to Formalize Psychological Theories: The Case Study of Lazarus and Folkman’s Stress Theory
• From Plain English to XACML Policies: An AI-Based Pipeline Approach
• An Automated and Intelligent Interface Embracing Process Awareness into User Workspace
• A Systematic Method to Derive Software Services and Requirements from Business Models
• Towards a Classification Framework for the Digital Twin Tools: A Taxonomy
• Digital Twin System of Systems: A Layered Architecture Proposal
• Hierarchical System of Digital Twins: A Holistic Architecture for Swarm System Analysis
• Automated Generation of Standardised Digital Twins Based on MBSE Models
• Optimizing Python Code Metrics Feature Reduction Through Meta-Analysis and Swarm Intelligence
• Vulnerability Mapping and Mitigation Through AI Code Analysis and Testing
• Test Adapter Generation Based on Assume/Guarantee Contracts for Verification of Cyber-Physical Systems
• A Model-Based Approach to Experiment-Driven Evolution of ML Workflows
• Evaluating the Quality of Class Diagrams Created by a Generative AI: Findings, Guidelines and Automation Options
• Safe Behavior Model Synthesis: From STPA to LTL to SCCharts
• Towards Synthesis-Based Engineering for Cyber-Physical Production Systems
• Towards a Domain-Specific Modelling Environment for Reinforcement Learning
• LLFSMs to TLA+: A Model-to-Text Transformation of Executable Models Enabling Specification and Verification of Multi-Threaded and Concurrent Systems
• Navigating Dimensionality Through State Machines in Automotive System Validation
• Designing a Meta-Model for the Eclipse Qrisp eDSL for High-Level Quantum Programming
• An Engineer-Friendly Terminology of White, Black and Grey-Box Models
• Advancing IoT Architectures Using Collaborative Computing Paradigms for Dynamic and Scalable Systems
• How to Leverage Digital Twin for System Design?
• An Integrated Building Management Platform for Investment into Renewable Energy System and SRI Compliance
• Efficient Modelling with Logic-Labelled Finite-State Machines of IEC 61499 Function Blocks: Simulation, Execution and Verification
• Early Fault-Detection in the Development of Exceedingly Complex Reactive Systems
• Leveraging Affordable Solutions for Stereo Video Capture in Virtual Reality Applications
• Sleep-Stage Efficient Classification Using a Lightweight Self-Supervised Model
• DeepCellCount: Cell Counting Using Two-Step Deep Learning
• ReST: High-Precision Soccer Player Tracking via Motion Vector Segmentation
• Distortion-Aware Adversarial Attacks on Bounding Boxes of Object Detectors
• Adaptive Out-of-Distribution Detection with Coarse-to-Fine Grained Representation
• Pose-Centric Motion Synthesis Through Adaptive Instance Normalization
• Classifier Ensemble for Efficient Uncertainty Calibration of Deep Neural Networks for Image Classification
• HandMvNet: Real-Time 3D Hand Pose Estimation Using Multi-View Cross-Attention Fusion
• ConvKAN: Towards Robust, High-Performance and Interpretable Image Classification
• Adaptable Distributed Vision System for Robot Manipulation Tasks
• Vision-Language In-Context Learning Driven Few-Shot Visual Inspection Model
• Low Latency Pedestrian Detection Based on Dynamic Vision Sensor and RGB Camera Fusion
• CodeSCAN: ScreenCast ANalysis for Video Programming Tutorials
• New Paths in Document Data Augmentation Using Templates and Language Models
• Experience Replay and Zero-Shot Clustering for Continual Learning in Diabetic Retinopathy Detection
• Fine-Grained Self-Localization from Coarse Egocentric Topological Maps
• Conditioned Generative AI for Synthetic Training of 6D Object Pose Detection
• Latent Space Characterization of Autoencoder Variants
• Segment-Level Road Obstacle Detection Using Visual Foundation Model Priors and Likelihood Ratios
• Inductive Self-Supervised Dimensionality Reduction for Image Retrieval
• Minimizing Number of Distinct Poses for Pose-Invariant Face Recognition
• Adaptive Prompt Tuning: Vision Guided Prompt Tuning with Cross-Attention for Fine-Grained Few-Shot Learning
• Action Tube Generation by Person Query Matching for Spatio-Temporal Action Detection
• Deep Image Clustering with Model-Agnostic Meta-Learning
• Coloring 3D Avatars with Single-Image
• Beyond Labels: Self-Attention-Driven Semantic Separation Using Principal Component Clustering in Latent Diffusion Models
• Neural Network Meta Classifier: Improving the Reliability of Anomaly Segmentation
• Defense Against Model Inversion Attacks Using a Dummy Recognition Model Trained with Synthetic Samples
• MuSt-NeRF: A Multi-Stage NeRF Pipeline to Enhance Novel View Synthesis
• Self-Supervised Iterative Refinement for Anomaly Detection in Industrial Quality Control
• CTypiClust: Confidence-Aware Typical Clustering for Budget-Agnostic Active Learning with Confidence Calibration
• Rescuing Easy Samples in Self-Supervised Pretraining
• SSGA: Synthetic Scene Graph Augmentation via Multiple Pipeline Variants
• Knowledge Amalgamation for Single-Shot Context-Aware Emotion Recognition
• Beyond Data Augmentations: Generalization Abilities of Few-Shot Segmentation Models
• VLLM Guided Human-Like Guidance Navigation Generation
• DeepSpace: Navigating the Frontier of Deepfake Identification Using Attention-Driven Xception and a Task-Specific Subspace
• Internal State Estimation Based on Facial Images with Individual Feature Separation and Mixup Augmentation
• Real-Time Kinematic Positioning and Optical See-Through Head-Mounted Display for Outdoor Tracking: Hybrid System and Preliminary Assessment
• Deep Local Feature Matching Image Anomaly Detection with Patch Adaptive Average Pooling Technique
• Urban Re-Identification: Fusing Local and Global Features with Residual Masked Maps for Enhanced Vehicle Monitoring in Small Datasets
• Spiideo SoccerNet SynLoc: Single Frame World Coordinate Athlete Detection and Localization with Synthetic Data
• Optimum-Path Forest Ensembles to Estimate the Internal Decay in Urban Trees
• Herbicide Efficacy Prediction Based on Object Segmentation of Glasshouse Imagery
• Detection of Door-Closing Defects by Learning from Physics-Based Simulations
• A Method for Detecting Hands Moving Objects from Videos
• Towards a Dataset for Paleographic Details in Historical Torah Scrolls
• 3DSES: An Indoor Lidar Point Cloud Segmentation Dataset with Real and Pseudo-Labels from a 3D Model
• Uncertainty Estimation for Super-Resolution Using ESRGAN
• CLIP-MDGAN: Multi-Discriminator GAN Using CLIP Task Allocation
• 2D Motion Generation Using Joint Spatial Information with 2CM-GPT
• Membership Inference Attacks for Face Images Against Fine-Tuned Latent Diffusion Models
• Leveraging Vision Language Models for Understanding and Detecting Violence in Videos
• Improving Periocular Recognition Accuracy: Opposite Side Learning Suppression and Vertical Image Inversion
• Handling Drift in Industrial Defect Detection Through MMD-Based Domain Adaptation
• Expanding Domain Coverage in Injection Molding Quality Inspection with Physically-Based Synthetic Data
• Learning Neural Velocity Fields from Dynamic 3D Scenes via Edge-Aware Ray Sampling
• Simultaneous Estimation of Driving Intentions for Multiple Vehicles Using Video Transformer
• Automated Individualization of Object Detectors for the Semantic Environment Perception of Mobile Robots
• Transformer or Mamba for Temporal Action Localization? Insights from a Comprehensive Experimental Comparison Study
• MAESTRO: A Full Point Cloud Approach for 3D Anomaly Detection Based on Reconstruction
• Disease Estimation Using Gait Videos by Separating Individual Features Based on Disentangled Representation Learning
• ConMax3D: Frame Selection for 3D Reconstruction Through Concept Maximization
• VectorWeaver: Transformers-Based Diffusion Model for Vector Graphics Generation
• Neighbor Embedding Projection and Graph Convolutional Networks for Image Classification
• Leveraging Unreal Engine for UAV Object Tracking: The AirTrackSynth Synthetic Dataset
• Accuracy Improvement of Neuron Concept Discovery Using CLIP with Grad-CAM-Based Attention Regions
• GIFF: Graph Iterative Attention Based Feature Fusion for Collaborative Perception
• An Event Camera Simulator for Arbitrary Viewpoints Based on Neural Radiance Fields
• Improving Geometric Consistency for 360-Degree Neural Radiance Fields in Indoor Scenarios
• Paint Blob Detection and Decoding for Identification of Honey Bees
• Effectiveness of Cross-Model Learning Through View-Model Ensemble on Detection of Spatiotemporal EEG Patterns
• Improving Adaptive Density Control for 3D Gaussian Splatting
• FiDaSS: A Novel Dataset for Firearm Threat Detection in Real-World Scenes
• A Computer Vision Approach to Counting Farmed Fish in Flowing Water
• Semi-Supervised Anomaly Detection in Skin Lesion Images
• Data-Free Dynamic Compression of CNNs for Tractable Efficiency
• Improving Image Classification Tasks Using Fused Embeddings and Multimodal Models
• Multi-Scale Foreground-Background Confidence for Out-of-Distribution Segmentation
• Shape from Mirrored Polarimetric Light Field
• Automatic Detection of the Driver Distractions Based on the Analysis of Face Videos
• Deep Learning-Powered Visual SLAM Aimed at Assisting Visually Impaired Navigation
• Efficient CNN-Based System for Automated Beetle Elytra Coordinates Prediction
• Temporally Accurate Events Detection Through Ball Possessor Recognition in Soccer
• Graph Convolutional Networks and Particle Competition and Cooperation for Semi-Supervised Learning
• Exploration and Validation of Specialized Loss Functions for Generative Visual-Thermal Image Domain Transfer
• Recovery of Detailed Posture and Shape from Motion Video Images by Deforming SMPL
• Robotic Visual Attention Architecture for ADAS in Critical Embedded Systems for Smart Vehicles
• Towards Safe Self-Stimulatory Behaviors in Autistic Children: HarmAlert4AutisticChildren (HA4AC)
• Enhancing 3D Human Pose Estimation: A Novel Post-Processing Method
• Benchmarking Neural Rendering Approaches for 3D Reconstruction of Underwater Environments
• Edge AI System for Real-Time and Explainable Forest Fire Detection Using Compressed Deep Learning Models
• Rethinking Deblurring Strategies for 3D Reconstruction: Joint Optimization vs. Modular Approaches
• Image Compositing Is all You Need for Data Augmentation
• Handwriting Trajectory Recovery of Latin Characters with Deep Learning: A Novel Exploring the Amount of Points per Character and New Evaluation Method
• A Survey on Feature-Based and Deep Image Stitching
• One-Shot Polarization-Based Material Classification with Optimal Illumination
• A Multifractal-Based Masked Auto-Encoder: An Application to Medical Images
• BEVMOSNet: Multimodal Fusion for BEV Moving Object Segmentation
• Exploring Histopathological Image Augmentation Through StyleGAN2ADA: A Quantitative Analysis
• QR Code Detection with Perspective Correction and Decoding in Real-World Conditions Using Deep Learning and Enhanced Image Processing
• Weak Segmentation and Unsupervised Evaluation: Application to Froth Flotation Images
• Automatic Drywall Analysis for Progress Tracking and Quality Control in Construction
• Environment Setup and Model Benchmark of the MuFoRa Dataset
• Homography VAE: Automatic Bird’s Eye View Image Reconstruction from Multi-Perspective Views
• Deep Learning for Image Analysis and Diagnosis Aid of Prostate Cancer
• Skeleton-Based Bilateral Symmetry: Theoretical Concepts and Detection via Dynamic Programming
• Learning Weakly Supervised Semantic Segmentation Through Cross-Supervision and Contrasting of Pixel-Level Pseudo-Labels
• Cross-Modal Transferable Image-to-Video Attack on Video Quality Metrics
• Application-Guided Image Fusion: A Path to Improve Results in High-Level Vision Tasks
• Attached Shadow Constrained Shape from Polarization
• FRCol: Face Recognition Based Speaker Video Colorization
• Gam-UNet for Semantic Segmentation
• Advanced Vision Techniques in Soccer Match Analysis: From Detection to Classification
• Comparison Between CNN and GNN Pipelines for Analysing the Brain in Development
• ReactSR: Efficient Real-World Super-Resolution Application in a Single Floppy Disk
• Breast Cancer Image Classification Using Deep Learning and Test-Time Augmentation
• Enhancing Small Object Detection in Resource-Constrained ARAS Using Image Cropping and Slicing Techniques
• OrthoCNN: Mitigating Adversarial Noise in Convolutional Neural Networks via Orthogonal Projections
• Evaluating Combinations of Optimizers and Loss Functions for Cloud Removal Using Diffusion Models
• Accuracy Improvement of Semi-Supervised Segmentation Using Supervised ClassMix and Sup-Unsup Feature Discriminator
• Can Bayesian Neural Networks Explicitly Model Input Uncertainty?
• Towards Robust Multimodal Land Use Classification: A Convolutional Embedded Transformer
• Volumetric Color-Texture Representation for Colorectal Polyp Classification in Histopathology Images
• Two Simple Unfolded Residual Networks for Single Image Dehazing
• MEFA: Multimodal Image Early Fusion with Attention Module for Pedestrian and Vehicle Detection
• Enforcing Graph Structures to Enhance Key Information Extraction in Document Analysis
• An Assessment of Shadow Generation by GAN with Depth Images on Non-Planar Backgrounds
• SPNeRF: Open Vocabulary 3D Neural Scene Segmentation with Superpoints
• Towards JPEG-Compression Invariance for Adversarial Optimization
• Simultaneous Optimization of Abnormality Discriminator and Illumination Conditions for Image Inspection of Textile Products
• Segmentation of Intraoperative Glioblastoma Hyperspectral Images Using Self-Supervised U-Net++
• Breast Density Estimation in Mammograms Using Unsupervised Image Segmentation
• Uncertainty-Driven Past-Sample Selection for Replay-Based Continual Learning
• Anomalous Water Dataset Captured by Hyperspectral Cameras
• Canine Action Recognition: Exploring Keypoint and Non-Keypoint Approaches Enhanced by Synthetic Data
• ShadowScout: Robust Unsupervised Shadow Detection for RGB Imagery
• Combining Supervised Ground Level Learning and Aerial Unsupervised Learning for Efficient Urban Semantic Segmentation
• A Multi-Criteria Approach for Gaze Analysis Similarity in Paintings
• Garbage Classification from Visual Footprints: Using Transfer Learning Strategy
• Features for Classifying Insect Trajectories in Event Camera Recordings
• Weight Factorization Based Incremental Learning in Generalized Few Shot Segmentation
• A Computer Vision Approach to Fertilizer Detection and Classification
• Integrating Image Quality Assessment Metrics for Enhanced Segmentation Performance in Reconstructed Imaging Datasets
• Editing Scene Illumination and Material Appearance of Light-Field Images
• Separation of Insect Trajectories in Dynamic Vision Sensor Data
• Multi-Object Keypoint Detection and Pose Estimation for Pigs
• SBC-UNet3+: Classification of Nuclei in Histology Imaging Based on Multi Branch UNET3+ Segmentation Model
• Patch-Based Deep Unsupervised Image Segmentation Using Graph Cuts
• Dawn: A Robust Tone Mapping Operator for Multi-Illuminant and Low-Light Scenarios
• Lunar Technosignatures: A Deep Learning Approach to Detecting Apollo Landing Sites on the Lunar Surface
• From Noise Estimation to Restoration: A Unified Diffusion and Bayesian Risk Approach for Unsupervised Denoising
• ODPG: Outfitting Diffusion with Pose Guided Condition
• Learning-Based Reconstruction of Under-Sampled MRI Data Using End-to-End Deep Learning in Comparison to CS
• Onboarding Customers in Car Sharing Systems: Implementation of Know Your Customer Solutions
• Obstacle Detection and Ship Recognition System for Unmanned Surface Vehicles
• Joint Calibration of Cameras and Projectors for Multiview Phase Measuring Profilometry
• Towards Resource-Efficient Deep Learning for Train Scene Semantic Segmentation
• Making Real Estate Walkthrough Videos Interactive
• D-LaMa: Depth Inpainting of Perspective-Occluded Environments
• Self-Supervised Partial Cycle-Consistency for Multi-View Matching
• Polygonizing Roof Segments from High-Resolution Aerial Images Using Yolov8-Based Edge Detection
• Objective Diagnosis of Depression and Autism Spectrum Disorder Based on fMRI Time Series Statistics
• Customized Atrous Spatial Pyramid Pooling with Joint Convolutions for Urban Tree Segmentation
• AKDT: Adaptive Kernel Dilation Transformer for Effective Image Denoising
• Gait Recognition Using CGAN and EfficientNet Deep Neural Networks
• RacketDB: A Comprehensive Dataset for Badminton Racket Detection
• StrikeNet: A Deep Neural Network to Predict Pixel-Sized Lightning Location
• Deep Learning-Tuned Adaptive Inertia Weight in Particle Swarm Optimization for Medical Image Registration
• Cross-Site Relational Distillation for Enhanced MRI Segmentation
• Local Foreground Selection Aware Attentive Feature Reconstruction for Few-Shot Fine-Grained Plant Species Classification
• Exploring Local Graphs via Random Encoding for Texture Representation Learning
• Recognition-Oriented Low-Light Image Enhancement Based on Global and Pixelwise Optimization
• Enhancing Marine Habitats Detection: A Comparative Study of Semi-Supervised Learning Methods
• Multi-Modal Multi-View Perception Feature Tracking for Handover Human Robot Interaction Applications
• Automated Performance Metrics for Objective Surgical Skill Assessment in Laparoscopic Training
• Layerwise Image Vectorization via Bayesain-Optimized Contour
• Exploring Machine Learning and Remote Sensing Techniques for Mapping Pinus Invasion Beyond Crop Areas
• RandSaliencyAug: Balancing Saliency-Based Data Augmentation for Enhanced Generalization
• Targeted Test Time Adaptation of Memory Networks for Video Object Segmentation
• Automating Feature Modeling in Product Line Engineering for Systems Engineering: The Application of Natural Language Processing
• From ML2 to ML2+: Integrating Time Series Forecasting in Model-Driven Engineering of Smart IoT Applications
• RITSA: Toward a Retrieval-Augmented Generation System for Intelligent Transportation Systems Architecture
• Ontology-Driven LLM Assistance for Task-Oriented Systems Engineering
• Reinventing Low-Code: Value-Driven and Learning-Oriented Low-Code Development with SLLM-Integrated Approach
• Multi-Agent Causal Reinforcement Learning
• Transforming Systems Engineering in Nuclear Projects with Generative AI: A Path to Efficiency and Compliance
• Iterative Diagnosis-Driven Augmented Generation (IDDAG) for Programmatic 3D CAD
• AI-Integrated Framework for Enhancing High Level Architecture Design Across System Lifecycle Stages
• On the Importance of Visualisation in a Data Driven Society
• D-PLS: Decoupled Semantic Segmentation for 4D-Panoptic-LiDAR-Segmentation
• Segmentation-Guided Neural Radiance Fields for Novel Street View Synthesis
• Uncertainty and Feature-Based Weighted Loss for 3D Wheat Part Segmentation
• Addressing the Ethical Implications of AI Models Developed: A Case Study of Master's Degree Dissertations in Data Science for Industry and Society
• MEDIATE: Mutually Endorsed Distributed Incentive Acknowledgment Token Exchange
• MetaToken: Detecting Hallucination in Image Descriptions by Meta Classification
• AGENTFORGE: A Flexible Low-Code Platform for Reinforcement Learning Agent Design
• Combining Petri Nets and AI Techniques to Improve Dynamic Production Scheduling Optimization
• An Evaluation of ChatGPT’s Reliability in Generating Biographical Text Outputs
• Dialogue Support Through the Identification of Utterances Crucial for the Listener's Interpretation if Missed
• Adjusting Doctor's Reliance on AI Through Labeling for Training Data and Modification of AI Output in a Muscle Tissue Detection Task
• Towards More Robust Transcription Factor Binding Site Classifiers Using Out-of-Distribution Data
• Decoding Persuasiveness in Eloquence Competitions: An Investigation into the LLM’s Ability to Assess Public Speaking
• Grounding a Social Robot’s Understanding of Words with Associations in a Cognitive Architecture
• Upper Bound Computation for the Multiple Close-Enough Traveling Salesman Problem
• Indoor Navigation: Navmesh Applied to Indoor Graph Creation
• Oil Spill Segmentation Using Deep Encoder-Decoder Models
• Hyperspectral Image Compression Using Implicit Neural Representation and Meta-Learned Based Network
• HI²: Sparse-View 3D Object Reconstruction with a Hybrid Implicit Initialization
• A Domain Specific Language to Design New Control Architectures for Smart Grids
• Reducing QUBO Density by Factoring out Semi-Symmetries
• Ground Awareness in Deep Learning for Large Outdoor Point Cloud Segmentation
• Curvy: A Parametric Cross-Section Based Surface Reconstruction
• Finding the Shear Reflection Symmetry Plane in a 3D Point Cloud
• Ray-LUT: A Lookup-Based Method for Camera Lens Simulation in Real-Time Using Ray Tracing
• Efficient Modeling of 3D Epithelial Cell Structure Dynamics via Backbone Spreads
• A Method for Standardizing Eye-Tracking and Behavioral Data in Real and Virtual Environments
• Forge: Extending Anvil for Visual Evaluation of Rendering Pipelines
• AI-Accelerated Viewshed Computation for High-Resolution Elevation Models
• Galerkin Enhanced Graph-Based FEM for Interactive Fracture and Sculpting Applications
• Semi-Automatic Generation of Rotoscope Animation Using SAM and k-means Clustering
• Fast Detection of Jitter Artifacts in Human Motion Capture Models
• Design and Development of an Interactive and Intelligent Wood Harvester Machine Operator Simulator
• Efficient Tiling of Point Features to 3D Tiles with Discrete LOD
• Symmetry Detection and Symmetrization in Cellular Automata
• AI-Informed Interactive Task Guidance in Augmented Reality
• Enhancing Sketch Animation: Text-to-Video Diffusion Models with Temporal Consistency and Rigidity Constraints
• MCPro: A Procedural Method for Topologically Correct Isosurface Extraction Based on Marching Cubes
• Multiple Multi-Modal AI for Semantic Annotations of 3D Spatial Data
• Geometry and Texture Completion of Partially Scanned 3D Objects Through Material Segmentation
• Evaluation of Body Parts Representations in Motion Reconstruction
• A Proposed Immersive Digital Twin Architecture for Automated Guided Vehicles Integrating Virtual Reality and Gesture Control
• Parallel Axis Split Tasks for Bounding Volume Construction with OpenMP
• Backface Distance Fields: Relaxing Signed Distance Fields
• Blending Realities: Accessible Mixed Reality for Tremor Rehabilitation in Parkinson’s Disease
• Generative Narrative-Driven Game Mechanics for Procedural Driving Simulators
• Reconstruction of the Botanical Trees from Single-View Images Using Signed Distance Functions
• A Virtual Reality Prototype for Evaluating Emotion Induced by Poetry and Ambient Electronic Music
• Lightweight Transformer Occupancy Networks for 3D Virtual Object Reconstruction
• Manipulating Gloss of Real Objects Under Omnidirectional Lighting
• Fast Approximate Symmetry Plane Computation as a Density Peak of Candidates
• Exploring Seated Locomotion Techniques in Virtual Reality for People with Limited Mobility
• A Whole New World: Can Virtual Reality Help to Understand Non-Euclidean Geometries?
• VIRTA-Yoke: A Virtual-Integrated Poka-Yoke System for Error Prevention and Operator Training in Manufacturing Processes
• Tutrace: Editable Animated Vector Shape from Video
• Beyond the Ragdoll: Designing a Safe-Falling Controller for Physically Simulated Characters
• Diffusion Transformer Framework for Speech-Driven Stylized Gesture Generation
• Oasis: A Real-Time Hydraulic and Aeolian Erosion Simulation with Dynamic Vegetation
• Lightweight Visualisation for Vortex Tracking in Airflow Acquisition
• ARPΔ: Hardware-Accelerated Ray-Traced Photon Differentials
• Reinforcement Learning-Enhanced Procedural Generation for Dynamic Narrative-Driven AR Experiences
• Integrating Generative AI in Architectural Education: A Comparative Study of Traditional, Stock LLMs, and Custom Tools
• Exploring Extended Reality (XR) in Teaching AI: A Comparative Study of XR and Desktop Environments
• Impact of Team Models in Hierarchical Human-Agent Decision-Making Teams
• A Serious Game for Early Detection and Assessment of Social Apathy: A Pilot Study
• Evaluating Preattentive Processing in Game Settings with Consistent Visual Scenes
• Exploring Standard and Novel Interactions on a Multi-Touch-Enhanced Mouse
• Effects of Overloading Command Capacity of Multiplexed FastTap Menus on Spatial Learning in Tablets
• Immersive versus Non-Immersive Virtual Reality Environments: Comparing Different Visualization Modalities in a Cognitive-Motor Dual-Task
• Hands-Free VR
• Combining Redirection with Common Game Elements
• HeyThere: Design and Evaluation of an Augmented Reality Multiplayer Social Game
• Showing, Telling, and Collaborating: Investigating the Relative Benefits of Videoconferencing and Different Augmented Reality Embodiments for Remote Meetings
• Formalization of Pre-Learning Instructional Method Based on Information Processing of Learner Driver
• Analyzing the Developer's Sentiment in Software Components: A Decade-Long Study of the Apache Project
• Multimodal Feedback Estimation for Knob Interactions in Virtual Reality for Control Panels
• Automatic Transcription and Detection of the MTM-1 Hand Motions Performed in Virtual Reality
• Impact of Starting Position on Decision-Making in Virtual Reality
• Vida Migrante: Empathy and the Migrant Experiences Through Data Visualization
• Closing the Digital Gap for Incarcerated Students Using Learning Management Systems in the USA
• Virtual Kitchen: Using a Touch Table for Cognitive Rehabilitation in Activities of Daily Living
• The Exhausted Brain Theory: An Energy-Based Framework for Understanding Visually Induced Motion Sickness
• Digital Assistant in a Point of Sales
• CSV: Visual Support for Understanding Card Synergy in Digital Collectible Card Games
• Effective Mitigation of Cognitive Load in Complex Mixed Reality Tasks
• Investigating the Propagation of CT Acquisition Artifacts along the Medical Imaging Pipeline
• Posterizing Diagrams with Top-Down Layout
• HoloGraphs: An Interactive Physicalization for Dynamic Graphs
• MillefioriAnalyzer: Machine Learning, Computer Vision and Visual Analytics for Provenance Research of Ancient Roman Artefacts
• Inconspicuous Guides: A Qualitative Study to Understand the Degree of Intrusiveness in Visualization Onboarding
• RapViz: Rhyme Detection and Visualization of Rap Music
• AlertSets: Supporting Exploratory Analysis of Cybersecurity Alerts Through Set Interactions
• ScaleVis: Interactive Exploration of Measurement Instrument Verification Data
• A Subspace Projection Based Technique for Visualizing Machine Learning Models
• Immersive in Situ Visualizations for Monitoring Architectural-Scale Multiuser MR Experiences
• Studying Parallel Coordinates Under Varying Aspect Ratios
• GLIMPSE-Med: Single-Screen Visualization of Multivariate Time Series for a Single Individual
• PyNarrative: A Python Library for Data Storytelling
• Why Does It Look like this? Introducing a Preliminary Framework for Explainable Graph Drawing (XGD)
• SPViz: A DSL-Driven Approach for Software Project Visualization Tooling
• Colorimetric Compensation in Video Mapping for Luggage Inspection
• Generative Artificial Intelligence for Immersive Analytics
• SnakeTrees: A Visualization Solution for Discovery and Exploration of Audiovisual Features
• Penta: Towards Visualizing Compound Graphs as Set-Typed Data
• C4D3: A View-Level Abstraction and Coordination Library for Building Coordinated Multiple Views with D3
• Active Physicalization of Temporal Bone
• Delphi: A Natural Language Interface for 2.5D Treemap Visualization of Source Code
• Evaluating Transformers Learning by Representing Self-Attention Weights as a Graph
• Reflections on the Uses and Available Choices of Categorical Colorschemes
• Interactive Platform for Surveys in Information Visualisation
• Empowering Facility Managers: Multimodal Location-Based Visualization for Smart Sanitizer Dispensers Management
• Designing Explainable and Counterfactual-Based AI Interfaces for Operators in Process Industries
• LIC-R: Line Integral Convolution Revisited
• Interactive Wind Simulation in Settlement Areas
• Pulsating Uncertainties: Visualization and Highlighting of Uncertainty in 3D Data Using Animated 2D Transfer Functions
• Evaluating LLMs for Visualization Tasks
• Second Order Differential Properties of Tensor Product Fractal Surfaces
• Sharing and Accessing Autobiographical Memories Tied with Media
• XR-Assisted 3D Reconstruction: Improving Model Quality Through Real-Time Feedback
• Multiple Crack Detection in Beam-Like Structures Using a Novel Particle Swarm Optimization Approach
• Estimate Reference Evapotranspiration Using Machine Learning Methods
• Deep Image-Based Adaptive BRDF Measure
• Single-Exemplar Lighting Style Transfer via Emissive Texture Synthesis and Optimization
• Who Knows Who: A Context-Based Approach to Network Generation for Social Simulations
• Curiosity Driven Reinforcement Learning for Job Shop Scheduling
• Diff-SySC: An Approach Using Diffusion Models for Semi-Supervised Image Classification
• Visual Analytics for the Analysis of Sleep Quality
• Multivariate Time Series Visualization for a Single Individual: A Scoping Review Using PRISMA-ScR
• Analysis of the Influence of Atmospheric Turbulence on Laser Wireless Power Transmission
• A Multimodal Approach to Research Paper Summarization
• Differential Diagnosis of Brain Diseases Using Ensemble Learning and Explainable AI
• Efficient 3D Human Pose and Shape Estimation Using Group-Mix Attention in Transformer Models
• Thermal Image Super-Resolution Using Real-ESRGAN for Human Detection
• REPVSR: Efficient Video Super-Resolution via Structural Re-Parameterization
• STEP: SuperToken and Early-Pruning for Efficient Semantic Segmentation
• Human Pose Estimation from an Extremely Low-Resolution Image Sequence by Pose Transition Embedding Network
• PrIcosa: High-Precision 3D Camera Calibration with Non-Overlapping Field of Views
• Comparative Analysis of Deep Learning-Based Multi-Object Tracking Approaches Applied to Sports User-Generated Videos
• Evaluating Homography Error for Accurate Multi-Camera Multi-Object Tracking of Dairy Cows
• Transferability of Labels Between Multilens Cameras
• Dynamic Hierarchical Token Merging for Vision Transformers
• Synthetic Thermal Image Generation from Multi-Cue Input Data
• EasyPortrait: Face Parsing and Portrait Segmentation Dataset
• Compact Optical Spectroscopy: The Future of Food Analytics in Your Pocket
• Punish the Pun-ish: Enhancing Text-to-Pun Generation with Synthetic Data from Supervised Fine-tuned Models
• Learning Compatible Representations
• Digital Twins: Models Everywhere
• Public Transport Network Design for Equality of Accessibility via Message Passing Neural Networks and Reinforcement Learning
• Optimizing Object Detection for Maritime Search and Rescue: Progressive Fine-Tuning of YOLOv9 with Real and Synthetic Data
• Evaluation of OCT Image Synthesis for Choroidal and Retinal Layer Segmentation Using Denoising Diffusion Probabilistic Models
• An Interpretable Machine Learning Model for Meningioma Grade Prediction
• Characterising and Categorising Anonymization Techniques: A Literature-Based Approach
• Predicting Photovoltaic Power Output Using LSTM: A Comparative Study Using both Historical and Climate Data
• Noisemaker 3D: Comprehensive Framework for Mesh Noise Generation
• Online Detection of End of Take and Release Actions from Egocentric Videos
• Phase Combining Strategies for Polarization-Independent Demodulation in a DAS Using Homodyne Detection with Delayed Self-Mixing in a Non-Stabilized Mach-Zehnder Interferometer
• Telosian: Reducing False Positives in Real-Time Cyber Anomaly Detection by Fast Adaptation to Concept Drift
• Sensor Calibration and Data Analysis of the MuFoRa Dataset
• Optimization of Cloud-Native Application Execution over the Edge-Cloud Continuum Enabled by DVFS
• Infrastructure as Code: Technology Review and Research Challenges
• EMERALD: Evidence Management for Continuous Certification as a Service in the Cloud
• Advancing Serverless Workflow Efficiency: Integrating Functional Programming Constructs and DAG-Based Execution
• WFQ-Based SLA-Aware Edge Applications Provisioning
• Performance and Usability Implications of Multiplatform and WebAssembly Containers
• Framework for Decentralized Data Strategies in Virtual Banking: Navigating Scalability, Innovation, and Regulatory Challenges in Thailand
• Job Generator for Evaluating and Comparing Scheduling Algorithms for Modern GPU Clouds
• LLM-Based Adaptive Digital Twin Allocation for Microservice Workloads
• Performance Analysis of mdx II: A Next-Generation Cloud Platform for Cross-Disciplinary Data Science Research
• Protecting Privacy in Federated Time Series Analysis: A Pragmatic Technology Review for Application Developers
• A Framework for Evaluating Integration Testing Criteria in Serverless Applications
• Security-Aware Allocation of Replicated Data in Distributed Storage Systems
• Data Orchestration Platform for AI Workflows Execution Across Computing Continuum
• Anomaly Detection for Partially Observable Container Systems Based on Architecture Profiling
• Literature Review on Cloud-Based Service-Oriented Architecture for IEC 61499 Distributed Control Systems
• SLO and Cost-Driven Container Autoscaling on Kubernetes Clusters
• A Framework for Real-Time Monitoring of Power Consumption of Distributed Calculation on Computational Cluster
• Optimization of Food Inputs in Restaurants in Metropolitan Lima Through Prediction and Monitoring Based on Machine Learning
• A Concept for Accelerating Long-Term Prototype Testing Using Anomaly Detection and Digital Twins
• The Evolution of Cloud Computing Towards a Vendor Agnostic Market Place Using the SKY CONTROL Framework
• OTRA: A Risk Management Ontology for Transparent Service Level Agreements in Federated Cloud Environment
• Towards Optimizing Cost and Performance for Parallel Workloads in Cloud Computing
• Operations Patterns for Hybrid Quantum Applications
• Hybrid Root Cause Analysis for Partially Observable Microservices Based on Architecture Profiling
• Idempotency in Service Mesh: For Resiliency of Fog-Native Applications in Multi-Domain Edge-to-Cloud Ecosystems
• A Cost-Benefit Analysis of Additive Manufacturing as a Service
• Energy-Aware Node Selection for Cloud-Based Parallel Workloads with Machine Learning and Infrastructure as Code
• On-Your Marks, Ready? Exploring the User Experience of a VR Application for Runners with Cognitive-Behavioral Influences
• Enhancing Learning with Physiological Measures: A Systematic Review of Applications in Neuroeducation
• Visual Intelligence for Program Animation
• Integrating Analog Games and Minecraft for Urban Greening Education: A Serious Game Approach for Elementary Students
• Implementation and Utilisation of the Didactic AlgoPoint Application to Facilitate Teacher-Student Group Collaboration
• Narrative-Based Interactive Learning for Scam Prevention: Rich Within Reach
• Model Quality and Student Satisfaction in BPMN Education: A Quasi-Experiment
• Feasibility Study of the ADA Blocks Virtual Assistant by HCI Experts
• Manim-DFA: Visualising Data Flow Analysis and Abstract Interpretation Algorithms with Automated Video Generation
• Implementing European Digital Credentials in Non-Formal Education: A Prototype for the Digital Learning Campus
• Using ChatGPT 3.5 to Reformulate Word Problems for State Exam in Mathematics
• Evaluating a Teacher Development Course for Teaching STEM Activities with Introductory Internet of Things Concepts and AI Data Model Training Skills Using the TPACK Framework: Problem-Solving and Digital Creativity
• Learning to Program: Mapping Errors and Misconceptions of Python Novices to Support the Design of Intelligent Programming Tutors
• A Deep Learning Approach for Automatic Detection of Learner Engagement in Educational Context
• Use of Search Tools in Software Development: A Study of Microservice-Based Team Projects
• Generating Accessibility: Using AI to Improve Higher Education for the Visually Impaired
• Hidden Markov Models to Capture Sequential Patterns of Valence-Arousal in High- and Low-Performing Collaborative Problem-Solving Groups
• The Impact of Live Polling Quizzes on Student Engagement and Performance in Computer Science Lectures: A Post-COVID19 Study
• Architecture for Gradually AI-Teamed Adaptation Rules in Learning Management Systems
• The Virtual Computer Networks Lab: On the Design and Implementation of a Location Independent Networks Laboratory in Higher Education
• Dynamic Reading Comprehension Visualization in Digital Course Texts
• Evaluating the Effect of Practice Quizzes on Exam Performance in an Advanced Software Testing Course
• Blockchain Solutions for Scalable and Sustainable Education: Enhancing Credentialing and Resource Management
• A Young Researcher’s Dual Lens: A Twofold Autoethnographic Exploration of Generative AI in the Realms of Doing Research and Teaching Computer Science and Media Design Education
• Co-Creational Drone Simulator for STEM Pedagogy: A Flipped Classroom Approach to Develop Engineering and Social Competence in Early Childhood Education
• Enhancing User Onboarding in Virtual Reality Educational Applications: Evaluating the Effectiveness of Pre-Training User Onboarding Method
• AI Literacy and Attitudes Towards AI in Design Education: A Comparative Study of Communication and Architectural Design Students
• A Systematic Literature Review of Adaptive Collaborative Systems Based on Dashboards
• Language Learning with VR: The Effects of Immersive Gamification on Student Motivation and Knowledge
• Luciole: The Design Story of a Serious Game for Learning English Created for (and with) Children
• An Online Integrated Development Environment for Automated Programming Assessment Systems
• GenAI as a Tool for Content Generation in Hypermedia Edutainment Applications: Potential and Limitations
• Game-Based Ergonomic Adaptation of User Interfaces for Online Learning Environments
• Saving Writing Classes from Extinction: ChatGPT as Part of the Teaching Pedagogy
• The Integration of Digital Education Within an Ozobot Pilot Project: Austrian Teacher Perspectives and Practices
• Boosting Engagement and Academic Performance Through Gamification: Leveraging Student Profiles and Game Personas for Enhanced Learning
• Can the Mighty Pen Be Mightier? Investigating the Role of Haptic Senses in Multimodal Immersive Learning Environments
• Designing Actionable and Interpretable Analytics Indicators for Improving Feedback in AI-Based Systems
• Auto-Grader Feedback Utilization and Its Impacts: An Observational Study Across Five Community Colleges
• Collaborative Synchronous Hybrid Learning Environments: Opportunities and Audio/Acoustic Quality Challenges
• Time to Face the Truth: Do Digital Applications Really Help Students Learn?
• Sustainable Development Goals in Computer Engineering: A Curriculum Integration
• A Preliminary Investigation into Theory-Practice Barriers in Sino-New Zealand Undergraduate Computing Education
• KanjiCompass: An Etymology-Driven Adaptive Kanji Learning Tool
• Moodle2EventLog: A Tool for Pedagogically-Driven Log Enrichment and Analysis
• Using Serious Art Games to Promote the Circulation of Ideas Embodied in Contemporary Aesthetics
• Exploring Cooperation and Competition in Computer Science Education: An Investigation Based on Game Theory
• SPELLINGUAL: A Gamified Approach to Enhance Multilingual Spelling Skills
• How Artificial Intelligence Is Impacting on the STEM Education of Students with Disabilities: A Five Years Review
• A Collaborative Vocabulary Notebook as a Complementary Tool to Language Courses at the University Level
• Training Telemedicine Robots: A Path Planning Optimization Method for Educational and Medical Application
• Using LMS Records to Track Student Performance: A Case of a Blended Course
• Toward Automated UML Diagram Assessment: Comparing LLM-Generated Scores with Teaching Assistants
• Practices, Challenges, and Training Needs of Faculty in Terms of Generative AI
• AI Wanderlust: A Roadmap to Integrating GenAI Tools in the Classroom Fostering Critical AI Literacy
• Would I Use It? A Study with Experts Exploring Game Design Storytelling as a Facilitating Process for Creating Educational Gamification
• The Influence of Pro-Environmental Behavior Stages on e-Learning Platform Acceptance in Public Works
• Understanding the Lecturers’ Perception About a Programming Learning Prototype
• Redesigning Personal Learning Environments: Consolidation of Empirical Findings and Conceptual Research Against the Background of a National Educational Infrastructure
• Generative AI in Climate Change Communication and Education
• Navigating Autism: The Role of Collaborative Virtual Reality in Social Skills Development
• Citizen Science and Democracy: Participation with a Purpose
• Eudaily: Supporting University Students in Daily Eudaimonic Reflection Using the Reflective Play Framework
• Integrating Systems Thinking into Software Engineering Education: A Teaching Experience
• Teacher in the Loop: Customizing Educational Games Using Natural Language
• A Pedagogical Framework to Teach Artificial Intelligence from an Uruguayan Experience
• Evaluating a GPT-4 and Retrieval-Augmented Generation-Based Conversational Agent to Enhance Learning Experience in a MOOC
• Future-Proofing Small Schools: Rethinking Education with AI
• Use and Perception of Generative AI in Higher Education: Insights from the ERASMUS+ Project 'Teaching and Learning with Artificial Intelligence' (TaLAI)
• Outline Notes, Student Retention and Achievement During the 2020 Online Lectures
• Fostering Diversity in Software Engineering Education: A Challenge-Based Approach to Integrate Non-STEM Students
• Large Language Models for Student Code Evaluation: Insights and Accuracy
• Investigating Flavors of RAG for Applications in College Chatbots
• Upgrading MatematiX: A Modern Approach to Learning Geometry for Middle School Students
• The Impact of Generative AI on IT Professionals’ Work Routines: A Systematic Literature Review
• DigiVillage Chronicles: A Serious Game Designed to Improve Digital Skills for Accessing Public Services
• AI Principles in Practice with a Learning Engineering Framework
• Insightful Mental Health Tool for Students
• Optimizing Retrieval-Augmented Generation of Medical Content for Spaced Repetition Learning
• Influences on IT-Related Courses Choices: A Gendered Analysis Based on Social Cognitive Career Theory
• Integrating Automated and Humanistic Approaches: A Methodological Case Study of Teachers' Digital Professional Growth
• The Effectiveness of Tutor Strategies in Enhancing Students' Learning and Attitudes in Scientific and Humanistic Subjects: An Analysis of Tutor Strategies Within the Compiti@Casa Project
• Robust & Reliable Automated Feedback Using Tree Edit Distance for Solving Open Response Mathematical Questions
• An Interactive, Unplugged Activity to Engage Children in Designing Solutions for Smart Villages
• A Long-Term Study of the Pandemic Impact on Education: A Software Engineering Case
• Pedagogical Strategies Based on Socio-Affective Scenarios in Distance Education: A Look from the Perspective of Tutors
• Collaborative Model for Developing Computing Skills in Basic Education
• Towards a Standardized Data Science Competence Framework: A Literature Review Approach
• Position Paper: Integrating Inquiry-Based Learning Pedagogy in Information Technology
• Enhancing Student Engagement and Learning Outcomes Through Multimodal Robotic Interactions: A Study of non-Verbal Sound Recognition and Touch-Based Responses
• Regaining Control: Enabling Educators to Build Specialized AI Chat Bots with Retrieval Augmented Generation
• Empowering Future Engineers: Unveiling Personalized Flipped Classrooms in Basic Programming Education
• Exploratory Study on the Learner eXperience in a Collaborative Learning Context Using Computational Resources
• Shaping the Digital Content of Mentoring Programs for Women in Informatics: Insights from an Exploratory Study
• Global Bike Go: SAP-Based Mini Business Simulation Games
• Performance Indexes for Assessing a Learning Process to Support Computational Thinking with Peer Review
• Understanding the Student Experience Better: Analyzing Remote Learning Tools Through Engagement, Participation, and Liveness Concepts
• Programmers Aren’t Obsolete yet: A Syllabus for Teaching CS Students to Responsibly Use Large Language Models for Code Generation
• AI-AFACT: Designing AI-Assisted Formative Assessment of Coding Tasks in Web Development Education
• The Effectiveness of Simulation in Biomedical Engineering Education: A Case Study
• The Importance of Digital and Computer Science Education in Primary Schools: Perspectives from Educators
• iReflect: Enhancing Reflective Learning with LLMs: A Study on Automated Feedback in Project Based Courses
• ReflexAI: Optimizing LLMs for Consistent and Constructive Feedback in Reflective Writing
• Enhancing Student Learning in Tertiary Education Through Simulation
• Empowering Mathematics Educators: Integrating ChatGPT as a Tool for Innovative Teaching Practices
• EasyProtocol: Towards a Digital Tool to Support Educators in Oral Exams
• Feasibility of NLP Metrics in Automatic Paraphrase Evaluation for EFL Learners
• ADA-Gen: Iterative and Incremental Generation of Full-Stack Apps for Learning Agile/DevOps Software Development Practices
• Narrative-Driven Learning: Teaching Finite State Machines Through Storytelling
• AI Tutor: Adaptive e-Learning System Using Expert Fuzzy Controllers
• Position Paper: Enhancing the Learning and Mastery of Academic Writing in the Serbian Language Through an AI Tool with Adaptive Scaffolding
• LLMs Take on the Bebras Challenge: How Do Machines Compare to Students?
• Grammar Verification for Students: A Grammar Design Recipe with Verification Steps
• Stakeholder Responsibility for Building Trustworthy Learning Analytics in the AI-Era
• Sparse Binary Representation Learning for Knowledge Tracing
• Toward Consistency in Writing Proficiency Assessment: Mitigating Classification Variability in Developmental Education
• Manna Methodology: A Novel Approach to Education 5.0 Through Learning and Socio-Emotional Assessment in IoD Bootcamps
• PBL Meets AI: Innovating Assessment in Higher Education
• Evaluating the Potential of LLMs for Better Short Answer Scoring
• Enhancing Learning with Gamification: Empowering Students in Web Development Education
• Tile-Based Games for Object-Oriented Programming Learning: A Modular Base Code Approach
• T-Shaped Competencies in Academic and IT Service Synergies
• Addressing Label Leakage in Knowledge Tracing Models
• Refining English Writing Proficiency Assessment and Placement in Developmental Education Using NLP Tools and Machine Learning
• Teacher Education at a Crossroads: Computer Science and Digital Education in a Blended Curriculum
• Developing Critical Thinking Skills in Undergraduate Students: A Mapping Study in Computing Education
• Beyond Functionality: Automating Algorithm Design Evaluation in Introductory Programming Courses
• Analyzing Student Use of Spacing and Interleaving Strategies in Interactions with GenAI-Powered Chatbots in Programming Courses
• From Text to Text Game: A Novel RAG Approach to Gamifying Anthropological Literature and Build Thick Games
• Teaching Topics in Human-Computer Interaction: A Practical Experience with a Focus on Experimental Research
• L(V)LMs Compromising the Integrity of in-Person Exams: An Evaluation Utilizing Smart Glasses and Computer Vision
• From Syntax to Sketch: Visualizing Code for Enhanced Comprehension with Focus on Cybersecurity
• Personalized Recommender System for Improving Urban Exploration and Experience Documentation of International Students
• Teaching Parallel Programming on the CPU Based on Matrix Multiplication Using MKL, OpenMP and SYCL Libraries
• Learning Game Co-Design by Second-Year Nursing Students and Its Effects on Knowledge
• MYFORSCRUM: A New Digital Tool for Implementing Forscrum in Educational / Training Contexts
• A Preliminary Study on the Use of Generative Artificial Intelligence to Enrich Dashboards
• Audits for Trust: An Auditability Framework for AI-Based Learning Analytics Systems
• Prompting an LLM Chatbot to Role Play Conversational Situations for Language Practice
• Our Notes Leave too Much to Say: Investigating Note-Taking Practices and Technological Tools in Academia
• The Impact of Racial Congruence Between Instructor and Learner on Memorization Outcomes in a Virtual Reality Environment
• Experience Using Systematic Mapping Studies to Foster Knowledge Discovery in Emerging Technology Fields
• BiLSTM-Attention-Delta: A Novel Framework for Predicting Dropout in MOOCs Within Big Data Environments
• Professional Development for Teachers in AI Literacy Education: Teaching Machine Learning to Senior Primary and Junior Secondary Students
• Navigating the Learning Landscape: A Case Study of Multisubject Problem-Based Learning in Computer Engineering Degree
• From Big Idea to Prototype: A Challenge-Based Learning Framework for Hackathons in Higher Education
• On Unraveling Student Resilience and Academic Performance in Higher Education
• Teaching Computational Thinking Through a Cross-Curricular Approach Supported by Programming Patterns
• GENIE Learn: Human-Centered Generative AI-Enhanced Smart Learning Environments
• GenAI as a Learning Assistant, an Empirical Study in Higher Education
• Unplugged Memory: A Report of an Unplugged Activity in High School Education with a Technical Specialization in Brazil
• A Systematic Literature Review of Adaptive Learning Systems Based on the Assessment of Collaboration Quality
• Leadership Teaching in Agile Software Engineering: A Systematic Mapping
• How Proficient Is Generative AI in an Introductory Object-Oriented Programming Course?
• Does ChatGPT-Permitted Assessments Help Students Generate Better Answers and Learn More?
• Towards Digital Transformation in Primary Science: Typology of Blended Learning Models
• Position Paper: Computer Supported Education vs. Education Supported Computing - On the Problem of Informed Decision Making of Appropriate Data Analytics Method
• Digital Presence and Learning Success: An Empirical Study on the Impact of Online Engagement on Conceptual Expertise
• Artificial Intelligence in Higher Education: A Decade of Research Insights Through Bibliometric Analysis
• Hazard Modeling Using Sentinel Data for Risk Assessment and Management of Tsho Rolpa Glacier, Nepal
• Unsupervised Image Classification Algorithms Applied to Fire-Prone Area Detection
• Navigating Boundary Discrepancies in SAD69-Based Delimitation: A Case Study and Practical Guidelines
• Differential Interferometric Synthetic Aperture Radar-Based Landslide Monitoring: A Case Study of Wayanad, India
• Urban Growth in Metropolitan Regions Using Dynamic Modeling by Cellular Automata: A Comparative Analysis Between Brazil and Portugal
• Are Londoners Getting Healthier?
• Preservation and Protection of Cultural Heritage in High Tourism Areas Using GIS Technology: A Case Study of the Medieval City of Rhodes
• An Innovative Model Based on Carvalho Rodrigues's Entropy to Assess Governance in Africa: A Guinea-Bissau Case Study
• Navigating Points of Interest: The Dog-Walker Pathfinding Algorithm
• Low-Cost GNSS Receivers Reliability Using Centipede RTK Network for Land Surveying
• Characterizing Machine Guidance in Geospatial Analysis
• ADAclassifier: Trying to Ascertain Why the Ground Is Moving
• Satellite Images and Spectral Vegetation Indices as Auxiliary Tools to Monitoring Fuel Availability in Areas Prone to Wildfire: Study Case in the Northern Region of Portugal
• Advancing Real-Time Land Cover Classification for Biomass Density and Carbon Stocks Estimation in Google Earth Engine
• Advancing Airport Land Subsidence Monitoring Through Time-Series InSAR Technology
• Machine Learning for Identifying Potential Photovoltaic Installations on Parking Areas
• Surface Current Visualization in Waterway Based on Mike 21 Model and S-100 Standards
• Modelling the Road Network as an Expression of Historical Spatial System Change in the Klaipeda Region (Lithuania)
• A Luminance-Based Lane Marking Candidate Quality Assessment for Autonomous Driving in GIS Contexts
• The Impact of Data Science on Geography: A Review with Optimization Algorithms
• LiDAR-Based 3D Reconstruction for Robotic Pipelines Inspection
• Analysis of Surface Thermal Behavior in Different Local Climate Zones (LCZ): A Case Study in Bragança (Portugal) (2013-2024)
• Planning Delivery Services: Depot Clustering Based on Socio-Economic Indicators and Geospatial Metrics
• Analyzing Multitemporal Datasets to Monitor Topographic Changes in Rio Cucco Italy
• Developing a Geospatial Framework for Calculating a 15-Minute City Index (FMCI): The Case of Quezon City
• Assessment of Fine-Tuned Canopy Height Maps from Satellite Imagery: A Case Study in the Czech Republic
• Tracking the Progression of Burned Areas in Tropical Peat Swamp Forests by Integrating Sentinel Optical and SAR Imagery: A Case Study of Binsuluk Forest Reserve in Sabah, Malaysia
• Remote Sensing-Based Temporal Analysis of Aletsch Glacier Retreat (1990–2020)
• Person Detection from UAV Based on a Dual Transformer Approach
• Unsupervised Partial Domain Adaptation for Occupants Behavior Modeling in Smart Buildings
• Repurposing Alternators as Motors: Promoting Sustainability and Circular Economy in Low-Cost Mobility Systems
• Topological Attention and Deep Learning Integration for Electricity Consumption Forecasting
• Digitalization Meets Climate Protection: Legal Framework for Energy-Efficient Data Centres
• Optimizing Morphological Design in High-Density Residences in Hong Kong to Enhance Mental Health
• Breaking Barriers: From Black Box to Intent-Driven, User-Friendly Power Management
• Belgian Energy Communities: Key Challenges and Opportunities
• Building Smarter Cities Through AI-Driven Digitization: A Case Study
• Application of XLPE Cables in Electric Networks Supplying DC Traction Loads
• Manglar Living Lab: Energy Management Through a Smart Microgrid with Artificial Intelligence
• Grid Interactive Smart Buildings Coordination in Multi-Area Power Systems: A Delay-Robustness Analysis
• Towards a Green Digital Currency for Smart Communities: An AI-Powered Ecosystem for Citizen Green Stewardship
• Metaverse Technology for Public Services in Smart Cities: Opportunities and Challenges
• Predicting Socio-Demographic Characteristics from Load Profiles with Varying Time Granularities
• Understanding Intention to Adopt Smart Thermostats: The Role of Individual Predictors and Social Beliefs Across Five EU Countries
• The Increasingly Critical Role of Communication Networks in Enhancing Power Grid Resilience Under Climate Change
• Towards a Reference Model for Multimodal Transport Networks
• Incorporating Animals as Stakeholders in ICT: Towards Truly Inclusive Digital Sustainability
• Cybersecurity Early Education: A Review of Current Cybersecurity Education for Young Children
• Integrating Serious Games in Education: Advancing Inclusive Design
• Exploring the Use of a Business Simulation Game in Professional Certification
• Gamification in Architecture: The Future Interface in Design as an Incentive to Participatory Democracy
• Pedagogical Agents in Virtual Reality for Training of Biomedical Engineering Students
• Digital Transformation of Education: An Integrated Framework for Metaverse, Blockchain, and AI-Driven Learning
• Relationship Between Eye-Tracking Metrics and Cognitive Load in Mixed Reality
• Advancing Suicide Prevention Through Immersive Technology
• Real-Time 3D Posture Tracking for Surgeons in Pediatric Minimally Invasive Surgery
• Learning Scenarios for Serious Educational Games with Creative Visualization in Natural Eco-Context
• Forensic Psychiatry and Big Data: Towards a Cyberphysical System in Service of Clinic, Research and Cybersecurity
• From Coefficients to 3D Planes: A VR Mathematics Module for Teaching Systems of Linear Equations with 3D Interaction
• Exploring Healthcare Virtual Simulation Modality Preferences an Interprofessional Learning Experience
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• Automatic Item Generation Integrated into the E-Assessment-System JACK
• Generating SQL-Query-Items Using Knowledge Graphs
• Evaluation of LLM-Generated Distractors of Multiple-Choice Questions for the Japanese National Nursing Examination
• A Comparison of Different Approaches of Model Editors for Automatic Item Generation (AIG)
• Storytelling in Gamified Rhythmic Training
• Digital and Sustainable Strategies for Preserving Minority Languages Through Music Education
• Exploring the Role of Sound Design in Serious Games: Impact on User Experience and Learning Outcomes
• From Push Buttons to Notes: A Hardware/Software Ecosystem for Inclusive Music Education
• Face the Music: Summarizing Unscripted Music Practice from Audio
• Teaching LLMs Music Theory with In-Context Learning and Chain-of-Thought Prompting: Pedagogical Strategies for Machines
• Evaluating the Adherence of Synthetic Digital Educational Content to Kolb’s Learning Theory
• Designing a Multimodal Interface for Text Simplification: A Case Study on Deepfakes and Misinformation Mitigation
• Ontology-Based Framework for Personalized Home-Based Rehabilitation in Cerebral Palsy Care
• Managing Data Heterogeneity for Ontology-Driven Models: Application to Gamified E-Learning Contexts
• Innovative Hyperspectral Data Fusion for Enhanced Mineral Prospectivity Mapping
• Application of UAV, GNSS and InSAR Techniques in the Raw Material Supply Chain
• An Ensemble Modeling Approach for Mapping Critical Mineral Distribution with LiDAR and PRISMA Data
• S34I Project: Secure and Sustainable Supply of Raw Materials for EU Industry
• AMD Mapping in the Lusatian Region: From Medium to Very High-Resolution R/S Data
• Exploring and Mapping Marine Placers in Vigo Estuary Shoreline Using GIS Cartographic Tools
• Evaluation of EnMAP Hyperspectral Data for the Identification of Placers in the Rias Baixas Region (Spain)
• Towards a Smart City Playground for Research and Experimentation of Energy Use Cases in a University Campus Setting
• Dynamic Simulation Model of a Renewable Energy Community for Small Municipalities
• Centre for Energy and Environmental Technologies – Explorer (CEETe): Advanced Scientific Perspectives and Applications
• Modeling and Simulation of Ethanol Steam Reforming for Sustainable Hydrogen Production
• Interconnecting Urban Networks: A Novel Approach to Digital Twins Through GlassBox Adaptation
• Towards an Optical Chemometric Sensor for Anti-Icing Agents on Asphalt Pavement
• T-RAPPI: A Machine Learning Model for the Corredor Metropolitano
• A Two-Stage Extended Kalman Filter-Based Approach Against FDI Cyber-Attack in Intelligent and Connected Vehicles
• A Universal Railway Obstacle Detection System Based on Optical-Flow Guided Semi-Supervised Segmentation
• Coordination for Complex Road Conditions at Unsignalized Intersections: A MADDPG Method with Enhanced Data Processing
• Investigating the Safety Effects of Degraded Wireless Performance on Connected Longitudinal Driver Assistance Functions
• Real-Time Digital Twin for Construction Vehicle Stability Assessment and Visualization with Improved Front-Loader Payload Estimation
• DiverSim: A Customizable Simulation Tool to Generate Diverse Vulnerable Road User Datasets
• Intersection with Highly Adaptive Traffic Lights Can Still Be Suitable for C-ITS Service GLOSA
• Machine Learning-Based Anomaly Detection in Smart City Traffic: Performance Comparison and Insights
• Development of a New Architecture for next Generation e-Bikes
• Integrating 5G into VANETs: Methodological Approaches and Performance Evaluation Through Simulation
• Adaptive Traffic Management for Emergency Vehicles in Work Zones
• Interference-Based Reliability and Capacity Analysis for IEEE 802.11 Broadcast Ad-Hoc Networks on the Highway
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• Recognition of Typical Highway Driving Scenarios for Intelligent Connected Vehicles Based on Long Short-Term Memory Network
• Predicting Depth Maps from Single RGB Images and Addressing Missing Information in Depth Estimation
• Hybrid Framework for Real-Time Traffic Flow Estimation Using Breadth-First Search
• Landmark-Based Geopositioning with Imprecise Map
• Towards Impact Assessment of Cooperative Routing on Traffic Efficiency: A System Dynamics Approach
• Enhancing Railway Obstacle Detection System Based on Incremental Learning
• Coupled Lateral and Longitudinal Control for Vehicle Platoons on Curved Roads
• A Simulator Study on Car User’s Perceptions in Interaction with Autonomous Shuttles
• Anomaly Detection for Traffic Management Purposes at Urban Intersections Using Infrastructure-Generated Vehicle-to-X Messages
• Evaluation of Detection Approaches for Road Anomalies Based on Accelerometer Data
• A Modular Detection System for Smart Cities: Integrating Monocular and LiDAR Solutions for Scalable Traffic Monitoring
• Misbehavior Detection in Connected Vehicle: Pre-Bayesian Majority Game Framework
• Comparison of Parametrization Approaches for Scenario-Based Testing
• Dynamic Charging on the Go: Optimizing Mobile Charging Stations for Electric Vehicle Infrastructure
• Improving Object Detection Through Multi-Perspective LiDAR Fusion
• Real-Time Cyclist Prioritization with Fuzzy Logic-Based Signal Control
• Analyzing Model Behavior for Driver Emotion Recognition and Drowsiness Detection Using Explainable Artificial Intelligence
• Enhancing Scenario-based Testing for Automated Driving Systems: An Ontology-Based Scenario Modeling Framework
• Topology-Aware Prioritized Patching for EV Charging Infrastructure Vulnerabilities
• D-LeDe: A Data Leakage Detection Method for Automotive Perception Systems
• Technology Acceptance Modelling for Investigating the Uptake of Electric, Connected, Autonomous, and Shared Mobility Technologies
• Data-Driven Analysis of Bicycle Lane Safety in Mexican Cities: Towards a Real-Time Route Recommendation System for Cyclists
• Exploring Shared Gaussian Occupancies for Tracking-Free, Scene-Centric Pedestrian Motion Prediction in Autonomous Driving
• Identification of Traffic Bottlenecks in Central Dhaka Through Spreading Graph-Based Congestion Analysis
• A Case Study on Defining Infrastructure Sensor Positions with Consideration of Existing Infrastructure
• A Tool for V2X Infrastructure Placement
• Towards Synergistic Effects of C-ITS Services: Assessing the Joint Impact of GLOSA and CACC on Traffic Efficiency and Sustainability
• Towards Assessing Cycleway Pavement Surface Roughness Using an Action Camera with IMU and GPS
• FlexCloud: Direct, Modular Georeferencing and Drift-Correction of Point Cloud Maps
• Quality and Trust Indicators of Digital Road Infrastructure Data Are Essential to Improve Its Usability: An Intelligent Speed Assist (ISA) Study
• Integration of On-Demand Ride-Pooling into a Microscopic Traffic Flow Simulation Environment
• Proposal for Thermal Management Systems for e-Bike Controllers
• Development and Validation of a Vehicle Corner Test Rig Designed for Hardware-in-the-Loop Testing
• A Dynamic Traffic Management System for Itinerary Optimization
• A Framework for Disentangling Efficiency from Effectiveness in External HMI Evaluation Procedures for Automated Vehicles
• Comparison of Point Cloud and Surface Based Mapping for Autonomous Vehicles
• Readiness for Small-Sized Parking Policies: A Path to Sustainable Urban Mobility
• A Greedy Dynamic Task Offloading and Service Management in V2V Networks
• Road Signs Perception: Eye Tracking Case Study in Real Road Traffic
• Intelligent Pavement Condition Rating System for Cycle Routes and Greenways
• Enhancing Pavement Condition Assessment: A Comprehensive Review of Affordable Sensing Technologies for Cycle Tracks
• Adaptive Interaction Field Framework for Risk-Aware Navigation of Driverless Minibus in Pedestrian Zones
• Impact of Fleet Electrification and Charging Infrastructure on Free-Floating Car Sharing in Milan
• Application of Consensus Protocols to Vehicular Communications Scenarios for the Negotiation of Cooperative Traffic Maneuvers
• Spatio-Temporal Traffic Prediction for Efficient ITS Management
• Real-Time Network-Aware Roadside LiDAR Data Compression
• Routing and Charge Planning Strategies for Ridesharing EV Fleets
• Bus Arrival Time Prediction via Hybrid LSTM Using GPS-Derived Run and Dwell Times
• OpenLiDARMap: Zero-Drift Point Cloud Mapping Using Map Priors
• RUTGe: Realistic Urban Traffic Generator for Urban Environments Using Deep Reinforcement Learning and SUMO Simulator
• The Components of Collaborative Joint Perception and Prediction: A Conceptual Framework
• Multimodal Route Planning Integrating Soft Mobility: A Real-World Case Study for Student Mobility
• Understanding Car Usage Patterns for V2G Integration: Insights from Dutch Travel Diaries
• Time-Aware Contrastive Representation Learning for Road Network and Trajectory
• Energy Consumption Prediction with Uncertainty Quantification for Electric Truck Operations: A Data-Driven Approach
• Autonomous Vehicle for Industry 5.0: Digital Twin for System Safety Validation
• Optimising IIoT Control Systems at Demcon: Integrating MQTT, Sparkplug B, and ISA-88 for Unified Automation
• Advancing Network Anomaly Detection Using Deep Learning and Federated Learning in an Interconnected Environment
• An Innovative Approach to Represent Tacit Knowledge of Fishing with Knowledge Graphs
• Recommender Systems Approaches for Software Defect Prediction: A Comparative Study
• Is It Professional or Exploratory? Classifying Repositories Through README Analysis
• Exhaustive Model Identification on Process Mining
• Runtime Verification for Deep Learning Systems
• Agile Effort Estimation Improved by Feature Selection and Model Explainability
• A Conceptual Model-Based Application for the Treatment and Management of Data in Pediatric Oncology: The Neuroblastoma Use Case
• Automated Testing of Tezos Blockchain-Oriented Software
• Best Practices and Evaluation Methods for Narrative Information Visualizations: A Systematic Review
• Genetic Algorithm for Optimal Response Time Scheduling of Electric Vehicle Model
• Trends and Challenges in Machine Learning for Code Summarization and Comprehension: A Systematic Literature Review
• Lessons Learned from Implementing a Language-Agnostic Dependency Graph Parser
• Mutation Operators for Mutation Testing of Angular Web Applications
• MODE: A Customizable Open-Source Testing Framework for IoT Systems and Methodologies
• Challenges in Software Metrics Adoption: Insights from Cluj-Napoca's Development Community
• The Impact of the European Product Liability Directive on Software Engineering
• Third-Party Library Recommendations Through Robust Similarity Measures
• A Study on Different Spectra in Fault Localization
• A Study on the Comprehensibility of Behavioral Programming Variants
• AADT: Asset-Driven Attack-Defense Tree
• Querying Digital Twin Models
• Detecting Duplicate Effort in GitHub Contributions
• Exploring and Evaluating Interplays of BPpy with Deep Reinforcement Learning and Formal Methods
• Automated Social Media Feedback Analysis for Software Requirements Elicitation: A Case Study in the Streaming Industry
• Exploring the Willingness of Nigerian Community Policing Stakeholders to Adopt Technology Through Survey
• uBSaaS: A Unified Blockchain Service as a Service Framework for Streamlined Blockchain Services Integration
• Design Thinking and a Human-Centered Approach to Explore the Potential of Mobile Phone and AI-Enabled Just-in-Time Mental Health Solution for University Students in India
• Licy: A Chatbot Assistant to Better Understand and Select Open Source Software Licenses
• Exploring the Role of Service Design in Software Development: A Systematic Mapping
• Medical Chatbot for Disease Prediction Using Machine Learning and Symptom Analysis
• A Replicated Study on Factors Affecting Software Understandability
• Machine Learning for Ontology Alignment
• S4BP: An Approach for Assessing Business Process Stability
• Sustainable Software Development: An ADKAR-Based Framework for Project Managers and Teams
• Identifying Testing Behaviour in Open Source Projects: A Case Analysis for Apache Spark
• A Progressive Step Towards Automated Fact-Checking by Detecting Context in Diverse Languages: A Prototype for Bangla Facebook Posts
• SQL vs NoSQL: Six Systems Compared
• Variability-Driven User-Story Generation Using LLM and Triadic Concept Analysis
• Towards an Evaluation Framework for Explainable Artificial Intelligence Systems for Health and Well-Being
• Exploring the Influence of User Interface on User Trust in Generative AI
• Multi-Perspective Analyses of Spatio-Temporal Data About Well-Being
• LLM-Generated Microservice Implementations from RESTful API Definitions
• Towards an Approach for Project-Library Recommendation Based on Graph Normalization
• Cross-Version Defect Prediction: Does Excessive Train-Test Similarity Affect the Reliability of Evaluation?
• Supporting Automated Documentation Updates in Continuous Software Development with Large Language Models
• Data-Driven Personas for Software Engineering Research
• Exploring Feature Extraction Techniques and SVM for Facial Recognition with Image Generation Using Diffusion Models
• Integrating Process Mining and Success Factors in Information Systems Projects: A Decision Support System Approach
• Information-Theoretic Patient Record Matching in Medical Databases: A Discriminative Power and Feature Analysis Using MIMIC-IV
• Key Artefacts in the Initial Phases of IT Project Management: Systematic Mapping Study
• Generating Formal Process Models and Decisions from Examination Rules in Natural Text with ChatGPT
• Design of a Serious Game on Exploratory Software Testing to Improve Student Engagement
• CyberGuardian 2: Integrating LLMs and Agentic AI Assistants for Securing Distributed Networks
• Maude Strategies-Based SoSs Workflow Modeling
• VP-IAFSP: Vulnerability Prediction Using Information Augmented Few-Shot Prompting with Open Source LLMs
• An Empirical Framework for Automatic Identification of Video Game Development Problems Using Multilayer Perceptron
• Anomaly Detection in Surveillance Videos
• Automated Migration of Legacy Code from the C++14 to C++23 Standard
• Autonomous Legacy Web Application Upgrades Using a Multi-Agent System
• A Multivocal Mapping Study on Artifact Traceability Complexities in Practice
• A User-Centered Design Approach to Develop a Privacy Awareness Application
• On Improving the Efficiency of AI-Generated Text Detection
• The Impact of Context-Oriented Programming on Declarative UI Design in React
• Interpreting Workflow Architectures by LLMs
• Towards a Blockchain-Based CI/CD Framework to Enhance Security in Cloud Environments
• Healthcare Bias in AI: A Systematic Literature Review
• A Risk Assessment of Information Security in a Diet Centre Business: A Case Study
• Reshaping Reality: Creating Multi-Model Data and Queries from Real-World Inputs
• The Scent of Test Effectiveness: Can Scriptless Testing Reveal Code Smells?
• Analyzing Deforestation Dynamics in Romania Using Random Forest Algorithm and Google Earth Engine
• Combining Goal and Process Models for the Specification of Human-Robot Collaborations
• VReqDV: Model Based Design Generation & Design Versioning Tool for Virtual Reality Product Development
• Integrating Data Lakes with Self-Adaptive Serious Games
• VRSLOG: An Approach to Log Immersive Experiences in Virtual Reality Systems
• Model-Driven Development Using LLMs: The Case of ChatGPT
• Towards a Cultural Perspective on Human-Robot Interaction
• A Heuristic Approach to Localize CSS Properties for Responsive Layout Failures
• Security Engineering in Cyber-Physical Systems: A Systematic Review of Methodological Approaches
• An Exploratory Investigation of the Artificial Intelligence Adoption on Teachers Job Designs
• Analysing Italian Historical Small Towns: A Cultural and Geographic Mosaic of Identity
• Market Reactions in China to the US-Houthi Conflict: An Event Study Approach
• Developing a Research Framework Model for Assessing the Impact of Social Media Marketing Activities on Brand Loyalty
• A Clustering Approach for S&P 500 Index Based on Environmental, Social and Governance Ratings of Multiple Agencies
• COVID-19 and Macro-Financial Forces: Who Drives the Conventional and Islamic Stock Markets?
• Bits and Biases: Exploring Perceptions in Human-like AI Interactions Using the Stereotype Content Model
• Economic Determinants and Oil Shocks: Unravelling the Impact of Kuala Lumpur Composite Index (KLCI) Performance
• Trust and Risk Management Interplay: A Review in the Digital Context
• Bank Risks, and Bank Stability: The Moderating Role of State Ownership in the MENA Region
• Do ESG Ratings Drive Financial Performance? A Systematic Analysis of Trends and Challenges
• Implementing Healthcare Innovation via ISO Standards: An Exploratory Literature Overview
• Corporate Venturing in Sustainability Transition: Conceptual Framework
• Earnings Management Practices During the Covid-19 Pandemic: A Comparative Study of Jordanian Family and Non-Family Controlled Firms
• Fuzzy MCDM Framework for Risk Management in Construction Supply Chain
• Fuzzy Based Model for Mitigating Employee Attrition
• Industrial Parks in Italy: A Systematic Overview and Preliminary Analysis of the Fosso Imperatore Case Study
• The Impact of Digital Transformation on Financial Performance and Green Development: Evidence from Chinese Manufacturing Companies
• Introducing the Cluster-Momentum Portfolio in Alternative Risk Premia Investing
• Portfolio Optimization Based on Prospect Theory
• Unicorn Illusions: A Novel Approach to Startup Valuation Using ESG
• The Effect of Consumer Acquisition Process on Consumer Satisfaction in Purchasing Fresh Food Online in the Context of Uncertainty
• The Role of Sustainable Loan Products in Managing Sustainability Risks in German Regional Banks
• A Review on Large Language Models and Generative AI in Banking
• Exploring the Role of Brownian Motion in Financial Modeling: A Stochastic Approach to the Black-Scholes Model for European Call Options
• Advanced Supervised Machine Learning Algorithms in Credit Card Fraud Detection
• Synthetic Data Generation and Federated Learning as Innovative Solutions for Data Privacy in Finance
• Optimizing Truck Flow in Ship Unloading: A Real-Time Simulation Approach for the Port of Itaqui
• Evaluating Network Intrusion Detection Models for Enterprise Security: Adversarial Vulnerability and Robustness Analysis
• Uniting Mcdonald’s Beta and Liouville Distributions to Empower Anomaly Detection
• Domain Ontology for Semantic Mediation in the Data Science Process
• Enhancing Post-Incarceration Support: A Custom Chatbot Solution for the Brazilian Prison System
• Business Impacts of Data Analytics in the Service Sector: A Systematic Literature Review
• Deep Reinforcement Learning for Selecting the Optimal Hybrid Cloud Placement Combination of Standard Enterprise IT Applications
• Warehousing Data for Brand Health and Reputation with AI-Driven Scores in NewSQL Architectures: Opportunities and Challenges
• Exploring Trust in Blockchain Technology: A Critical Review of the Theoretical Acceptance Models
• Connection Is all You Need! Mining and Linking Disparate Data Sources for Collaboration Network Analysis
• Recommending Points of Interest with a Context-Aware Dual Recurrent Neural Network
• A LoRaWAN Multi-Network Server Application for Smart Cold Chain Tracking in Remote Areas
• An Approach for Product Record Linkage Using Cross-Lingual Learning and Large Language Models
• Digital Platform-Based Value Creation in Micro-Enterprise Networks
• Optimizing Edge-Based Query Processing for Real-Time Applications
• On the Text-to-SQL Task Supported by Database Keyword Search
• Ontology and AI Integration for Real-Time Detection of Cyberbullying Among University Students
• XARF: Explanatory Argumentation Rule-Based Framework
• Towards the Automated Selection of ML Models for Time-Series Data Forecasting
• Resource-Efficient Monitoring of Energy Storage Systems During Transport and Storage: A Data-Driven Approach to Early Short Circuit Detection
• Evaluating Serverless Function Deployment Models on AWS Lambda
• A Learning Approach for User Localization and Movement Prediction with Limited Information
• Exploring Links Between Social Media Habits, Loneliness, and Sleep: A Formal Concept Analysis Approach
• A Knowledge Discovery Pipeline to Describe the High Cholesterol Profile in Young People Using GA for Feature Selection
• Knowledge Reinjection Policies and Machine Learning Integration in CWM-Based Complex Data Warehouses
• Convolutional Neural Networks Enriched by Handcrafted Attributes (Enriched-CNN): An Innovative Approach to Pattern Recognition in Histological Images
• Towards IT Workload Hybrid-Cloud Placement Advisory in Enterprise
• Optimizing 2D+1 Packing in Constrained Environments Using Deep Reinforcement Learning
• Digitalization in Small-Load-Carrier Management
• Data Smells Are Sneaky
• Improving Large Language Models Responses with Retrieval Augmented Generation in Animal Production Certification Platforms
• SIR SQL for Logical Navigation and Calculated Attribute Free Queries to Base Tables
• Modelling and Clustering Patterns from Smart Meter Data in Water Distribution Systems
• Mapping and Predicting Crimes in Small Cities Using Web Scraping and Machine Learning
• Association of Fractal Geometry and Data Augmentation Through GANs and XAI for Classification of Histology Images
• Author Beta-Liouville Multinomial Allocation Model
• Unsupervised Motif and Discord Discovery in ECG
• Empowering Pharmaceutical Retail Storefronts: An Exploratory Study on Classification and Association Techniques
• Handling Inconsistent Government Data: From Acquisition to Entity Name Matching and Address Standardization
• Integrating Satellite Images Segmentation and Electrical Infrastructure Data to Identify Possible Urban Irregularities in Power Grid
• A Mixed-Integer Linear Programming Model for Repeaters and Routers Location-Allocation Problem in Open-Pit Mines
• A Solution Procedure for Fixed Mammography Unit Location-Allocation and Mobile Mammography Unit Routing Problems
• Retrieval of Similar Behaviors of Human Postural Control from the Center of Pressure in Elderly People with Sarcopenia
• Automatic Exam Correction System Involving XAI for Admission to Public Higher Education Institutions: Literature Review
• An Adaptive Neuro-Fuzzy Inference Approach of AOA/AOS Data Fusion for Small Fixed-Wing UAV
• On the Effectiveness of Large Language Models in Automating Categorization of Scientific Texts
• Large-Scale Group Brainstorming and Deliberation Using Swarm Intelligence and Generative AI
• Predicting B2B Customer Churn and Measuring the Impact of Machine Learning-Based Retention Strategies
• Process Mining for Demographic Insights: A Subpopulation Analysis in Healthcare Pathways
• A Mobile App for Food Purchase Decision and Waste Minimizing Using IoT, Social Tools, ML and Chatbots
• Automatic Lead Qualification Based on Opinion Mining in CRM Projects: An Experimental Study Using Social Media
• Bridging AutoML and LLMs: Towards a Framework for Accessible and Adaptive Machine Learning
• Zero-Shot Product Description Generation from Customers Reviews
• Enhancing IoT Interactions with Large Language Models: A Progressive Approach
• A Hybrid Music Recommendation System Based on K-Means Clustering and Multilayer Perceptron
• Pancreatic Mass Segmentation Using TransUNet Network
• Knowledge Management in Sustainable Supply Chains in a Developing Field: Case Natural Products
• Prompt-Driven Time Series Forecasting with Large Language Models
• Evaluating the Use of Open-Source and Standalone SAST Tools for Detecting Vulnerabilities in C/C++ Projects
• A LLM-Powered Agent for Summarizing Critical Information in the Swine Certification Process
• Using Graph Convolutional Networks to Rank Rules in Associative Classifiers
• Pattern Recognition in Biosequences Using Artificial Immune System
• Towards a RAG-Based WhatsApp Chatbot for Animal Certification Platform Support
• A Survey of Evaluating AutoML and Automated Feature Engineering Tools in Modern Data Science
• Using Large Language Models to Support the Audit Process in the Accountability of Interim Managers in Notary Offices
• Towards an Ontology-Based Approach for Enhancing Animal Sanitary Event Management
• A Framework Model for Supporting Transparent Polyglot Persistence with a Unified API and Extensible for Different Database Types
• Feature Selection for Stock Market Prediction: A Comparison of Relief and Information Gain Methods
• Optimizing Musical Genre Classification Using Genetic Algorithms
• Text-to-SQL Experiments with Engineering Data Extracted from CAD Files
• Improving Underwater Ship Sound Classification with CNNs and Advanced Signal Processing
• Cost-Effective Strabismus Measurement with Deep Learning
• Development of a Big Data Mechanism for AutoML
• Integration of Data Science in Institutional Management Decision Support System
• A Data Annotation Approach Using Large Language Models
• The Changing Importance of Technology Skills for Accountants in the Context of Artificial Intelligence
• Anomaly Detection Techniques in the Service of Data Labeling for Fault Diagnosis in Manufaturing
• Automated Detection of Fake Biomedical Papers: A Machine Learning Perspective
• Using Transformers for B2B Contractual Churn Prediction Based on Customer Behavior Data
• OptiGuide+: An Interactive Recommender System for Virtual Things
• Assessing the Attention Layers in Convolutional Neural Networks for Penile Cancer Detection in Histopathological Images
• A Modularized and Reusable Architecture for an Embedded MAS IDE
• Data Governance Capabilities Model: Empirical Validation for Perceived Usefulness and Perceived Ease of Use in Three Case Studies of Large Organisations
• Selection of Retransmitter Nodes for Alert Message Transmission in VANETs Using a Multicriteria Decision-Making Approach Based on Vehicle Credibility
• Towards a Standardized Business Process Model for LLMOps
• Synthetic Data-Driven Object Detection for Rail Transport: YOLO vs RT-DETR in Train Loading Operations
• Leveraging Transfer Learning to Improve Convergence in All-Pay Auctions
• From Collection to Analysis: A Blockchain Solution for Transparent and Reliable Chain of Custody in the O&G Sector
• Dynamization of Retail Pricing: From Traditional Price Determinants to Automation Based on Artificial Intelligence
• Predicting Employee Turnover Using Personality Assessment: A Data-Driven Approach
• Data Governance in Education: Addressing Challenges and Unlocking Opportunities for Effective Data Management
• Mathematical Modeling and Simulation for Optimizing Truck Dispatch in Bulk Unloading Operations: A Case Study at the Port of Itaqui
• A Predictive Greenhouse Digital Twin for Controlled Environment Agriculture
• Economic Token Models in ReFi Projects: Token Design and Incentive Mechanisms Analysis
• Examining the Impact of Cloud Computing on Organizational Performance: A Systematic Literature Review
• A Framework and Method for Intention Recognition to Counter Drones in Complex Decision-Making Environments
• TGAN and CTGAN: A Comparative Analysis for Augmenting COVID 19 Tabular Data
• Human Activity Recognition on Embedded Devices: An Edge AI Approach
• EM-Join: Efficient Entity Matching Using Embedding-Based Similarity Join
• Comparative Study of Large Language Models Applied to the Classification of Accountability Documents
• Influence of Quantization of Convolutional Neural Networks on Image Classification of Pollen-Bearing Bees
• Conference Management System Utilizing an LLM-Based Recommendation System for the Reviewer Assignment Problem
• Towards Big OLAP Data Cube Classification Methodologies: The ClassCube Framework
• IoT-AID: Leveraging XAI for Conversational Recommendations in Cyber-Physical Systems
• Applying Prototyping and Exploratory Testing to Ensure Software Quality in an Information System for Power Tampering Detection: An Experience Report
• The Future of BPM in the Era of Industry 4.0: Exploring New Opportunities for Innovation
• Towards a VR-BCI Based System to Evaluate the Effectiveness of Immersive Technologies in Industry
• Unveiling the Expanding Landscape of Attention-Capture Damaging Patterns
• Accident Prevention in Industry 4.0 Using Retrofit: A Proposal
• Why Digital Maturity Models Fail: An Exploratory Interview Study Within the Digital Transformation Steering Process
• Using Historical Information for Fuzzing JavaScript Engines
• Micro4Delphi: A Process for the Modernization of Legacy Systems in Delphi to Microservice Architecture
• Usability in Software for People with Disabilities: Systematic Mapping
• Improving Clarity and Completeness in User Stories: Insights from a Multi-Domain Analysis with Developer Feedback
• Multiple Sequence Alignment Using Ant Colony Optimization with Chaotic Jump
• Event Modeling for Reasoning of Consequences
• Applying Checklist and Design Patterns for Evaluating and Redesigning a Dashboard Interface of a Decision Support Information System
• Business Process Design Support with Automated Interviews
• PriPoCoG: Empowering End-Users’ Data Protection Decisions
• Unveiling Business Processes Control-Flow: Automated Extraction of Entities and Constraint Relations from Text
• Evaluating Performance and Acceptance of the UUXE-ToH Questionnaire for Touchable Holographic Solutions
• Perception of Professionals Regarding Behavior-Driven Development (BDD): A Descriptive and Statistical Study
• The Impact of Innovation Management Systems on Firms’ Innovation Performance: The Mediating Role of Openness to Innovation
• Advancing Cyberbullying Detection: A Hybrid Machine Learning and Deep Learning Framework for Social Media Analysis
• Assessing Cybersecurity Readiness Among SME
• Reviewing Reproducibility in Software Engineering Research
• Method for Evaluating the Quality of Serious Games in Medical Education
• A Framework for Agile and UX Integration in Healthcare Software Development: A Kanban Approach
• Enhancing Usability in Large Map Interactions: A Novel Magnifying Lenses Technique for Tabletops
• Data Privacy in Educational Contexts: Analyzing Perceptions, Practices and Challenges in Personal Data Protection
• Diagnosing BPM Governance: A Case Study of Facilitators, Barriers, and Governance Elements in a Hierarchical Public Instituition
• Bridging the Gap in Agricultural Sharing Economy: A Systematic Review for Evaluating Information Systems for Machinery Efficiency
• Prototyping Smart City Solutions with Metaverse and Digital Twins: A Systematic Literature Mapping
• Industry 4.0 Information Systems for Materials Circularity in Supply Chains: Industry Issues and Research Directions
• Agile Project Management in Government Software Development: Addressing Challenges in Education Public Policy
• Emotions and Experiences on the Road: Unveiling UX in Automotive Infotainment Through YouTube Comments
• SWeeTComp: A Framework for Software Testing Competency Assessment
• Behaviour and Execution Semantics of Extended Sequence Edges in Business Processes
• Stakeholder Engagement in Enterprise Architecture: Enablers and Barriers in the Private Sector
• Remote Emotional Interactions via AI-Enhanced Brain-to-Body Neurophysiological Interface
• User Stories: Does ChatGPT Do It Better?
• Challenges and Approaches to Enhance Usability in Healthcare Applications: A Systematic Literature Review
• Mapping Open Design and Participation in Smart City Solutions: A Systematic Literature Review
• 5G for the Future of Telecommunications: How Innovation Platforms Redefine the Mobile Network Operators' Role
• On the Imperative of Interdisciplinarity in Defining Digital Exclusion?
• Transformation of Cyclic Process Models with Inclusive Gateways to Be Executable on State-of-the-Art Engines
• Rethinking Usability Assessment: Integrating UX and Information Architecture
• Development of a Solution for Identifying Moral Harassment in Ubiquitous Conversational Data
• DynaSchema: A Library to Support the Relational Data Schema Evolution for the Self-Adaptive Software Domain
• Development of a Context-Free Data Ingestion Mechanism for AutoML
• Guidelines for the Application of Event Driven Architecture in Micro Services with High Volume of Data
• Integration of User-Centered Design into the Scrumban Framework: A Case Study on the Groovoo Platform
• Yearning for Love: Exploring the Interplay of Parasocial Romantic Attachment, Loneliness, and Purchase Behavior Within Dating Simulation Games
• Reproducibility Practices of Software Engineering Controlled Experiments: Survey and Prospective Actions
• UX4ALL: A Repository of User Experience Evaluation Methods
• Exploring the Use of ChatGPT for the Generation of User Story Based Test Cases: An Experimental Study
• A Process to Compare ATAM and Chapter 9 of ISO/IEC/IEEE 42020:2019
• StreamVis: An Analysis Platform for YouTube Live Chat Audience Interaction, Trends and Controversial Topics
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• Outpacing the Competition: A Design Principle Framework for Comparative Digital Maturity Models
• Personalized Task Reassignment in Industry 5.0: A MILP-Based Solution Approach
• Elicitation and Documentation of Explainability Requirements in a Medical Information Systems Context
• Pilot Study on the Effects of Gamification and Virtual Reality on the Shopping Experience
• Critical Characteristics of Enterprise Architects Influencing Stakeholder Engagement Effectiveness
• VR-ADAPT: An Immersive Learning and Training Environment for Wheelchair Users with Recent Spinal Cord Injuries
• Exploring Stakeholders’ Practical Needs for GDPR Compliance
• Analyzing User Story Quality: A Systematic Review of Common Issues and Solutions
• Using Multicriteria Decision Method to Score and Rank Serverless Providers
• From Legislation to Human Flourishing: Unveiling the Characteristics of Digital Well-Being by Taxonomy Development from an EU Perspective
• Toward an Ontology-Based Framework for Textual System Requirements Extraction and Analysis
• Exploring State Chief Information Officers Involvement in Information Technology Strategic Planning for Remote Collaboration
• Predictive Regression Models of Machine Learning for Effort Estimation in Software Teams: An Experimental Study
• Dynamic Integration of 3D Augmented Reality Features with AI-Based Contextual and Personalized Overlays in Asset Management
• Use of Knowledge Management in IDiAL
• Jetson’s View: Designing Trustworthy Air Taxi Systems
• Pipeline for Ontology Construction Using a Large Language Model: A Smart Campus Use Case
• Utilizing ChatGPT as a Virtual Team Member in a Digital Transformation Consultancy Team
• Cybersecurity Risk Assessment Through Analytic Hierarchy Process: Integrating Multicriteria and Sensitivity Analysis
• Dark Patterns in Games: An Empirical Study of Their Harmfulness
• Implementing IT Enterprise Architecture to Improve the Provision of IT Resources for Public Sector
• Development and Preliminary Evaluation of a Technology for Assessing Hedonic Aspects of UX in Text-Based Chatbots
• Customer-Facing Social Robots in the Grocery Store: Experiences from a Field Trial
• Benchmarking Efficiency in Mediterranean Ports: A DEA-Based Analysis of Connectivity and Operational Performance
• Acceptance Criteria Validation in Agile Projects Using AI and NLP Techniques
• Mixed Reality-Based Platform for Remote Support and Diagnosis in Primary Care: A Position Paper
• Extending BPMN to Enable the Pre-Modelling of Flexibility for the Control Flow of Business Processes
• Proposal for Formalization Using Description Logic of Undesirable Models in Business Process Management
• Effort Estimation of Large-Scale Enterprise Application Mainframe Migration Projects: A Case Study
• Big Data Fortaleza Platform: Quality Improvement with Testing Process
• Strategic Placement of Branding Elements in Digital Marketing: Insights from Eye-Tracking Data
• The Impact of AI Tools on Software Development: A Case Study with GitHub Copilot and Other AI Assistants
• Enhancing Continuous Integration Workflows: End-to-End Testing Automation with Cypress
• Digital Transformation Framework Inspired by Organisational Semiotics: An Analysis Based a Chinese SOE Manufacturer
• Which Factors Influence the Success of Communities of Practices in Large Agile Organizations, and How Are They Related?
• Decentralized Car Rental System: Ensuring Security with Blockchain Smart Contracts
• Trust-Centric Blockchain Framework: A Three-Layered Architecture for Securing Open and Private Systems
• A Comparative Analysis of Cryptographic Techniques for Privacy Preservation in Blockchain-Based Dispute Resolution
• A Blockchain-Based Fraud Detection and Vehicle Damage Assessment System Using Machine Learning and Computer Vision
• Familiarity Breeds Confidence: Creating Effective Digital Literacy Resources for Older Adults
• Evaluating the Impact on Usability and Acceptance of ECAs in m-Health Applications for Older Adults
• Early Detection of Chronic Stress Using Wearable Devices: A Machine Learning Approach with the WESAD Database
• FlexiDialogue: Integrating Dialogue Trees for Mental Health with Large Language Models
• BOVNet: Cervical Cells Classifications Using a Custom-Based Neural Network with Autoencoders
• Pneumonia Detection in X-Ray Chest Images Based on Convolutional Neural Networks and Data Augmentation Methods
• How Many Times Do I Need to Say, ‘It Is Me’? Investigating Two-Factor Authentication with Older Adults in Norway
• Information Seeking Behavior Associated with Willingness for COVID-19 Vaccination in 60+ Estonians
• Open Complex Systems Approach Utilizing ICT to Address Immune-Related Diseases in Aging Society
• Mobile Application for Optimizing Exercise Posture Through Machine Learning and Computer Vision in Gyms
• LogYourEatingHabits: A Dietary App Focusing on Eating Habits that Promotes Healthy Lifestyles
• Deep Learning Characterization of Volatile Organic Compounds with Spectrometer-on-Card
• Perceptions and Acceptability of Sensor-Based Activity Recognition Systems Among Older Adults and Their Families
• Analysing the Impact of Images and Text for Predicting Human Creativity Through Encoders
• Unveiling Insights from Hematobiometry Data: A Data Science Approach Using Data from a Quito Clinical Laboratory
• Older Adults Say Yes to Technology: How Digital Empowerment of this Audience Helps Reduce Loneliness
• Emotional Dynamics in Semi-Clinical Settings: Speech Emotion Recognition in Depression-Related Interviews
• Unified Parkinson’s Disease Rating Scale Rest Tremor Score Estimation Using the Fundamental Frequency
• Promoting Healthy Development in Early Childhood: A Proposal of a Mobile Application
• Detecting Suicidal Ideation on Social Media Using Large Language Models with Zero-Shot Prompting
• Redesign and New Evaluation of a Pervasive Game for Older Adults
• Digitalization of an Integrated “Social and Health” Care Path
• Multimodal Pain Assessment Based on Physiological Biosignals: The Impact of Demographic Factors on Perception and Sensitivity
• Interactive Solutions for Advancing Attention Deficit Hyperactivity Disorder Diagnosis and Management in Children
• Social Media as a Tool for Promoting Inclusion: An Analysis of the Facebook and Instagram Pages of Inclusive Spaces
• Design of a Digital Solution to Motivate Older Adults to Follow Cognitive and Physical Training for an Active and Healthy Ageing
• MentalRAG: Developing an Agentic Framework for Therapeutic Support Systems
• Digital Touchpoints: Generating Synthetic Data for Elderly Smartphone Interactions
• StreamTag: A Platform for Flexible Tagged Data Management
• Comparing Large Language Models for Automated Subject Line Generation in e-Mental Health: A Performance Study
• Towards Dependable, Interoperable and Evolvable Personal Health Data Spaces Within the European Health Data Space
• iSupport-Portugal: Challenges and Insights in Designing a Web Platform for Intervention and Research on Informal Dementia Caregivers
• Password Authentication for Older People: Problems, Behaviours and Strategies
• Recommendations of Embodied Conversational Agents to Healthcare Applications
• A Streamlined Lesion Segmentation Method Using Deep Learning and Image Processing for a Further Melanoma Diagnosis
• The Role of Gender and Clear Communication in Digital Health Engagement for Blood Clot Management
• RAM-IoT: Risk Assessment Model for IoT-Based Critical Assets
• DLT-Based Approach for Secure and Cyber Resilient Resource Constrained IoT Devices: A Survey on Recent Advances
• Toward a More Realistic Energy Consumption Model for IoT Nodes in Extreme-Edge Computing Environments
• A Highly Nonlinear Survival Network for Hospital Readmission Prediction of Cardiac Patients
• PatSimBoosting: Enhancing Patient Representations for Disease Prediction Through Similarity Analysis
• A Comparative Evaluation of Zero Knowledge Proof Techniques
• Inventory Management System Through the Integration of RPA and IoT to Enhance Processes in SMEs Within Peru’s Automotive Sector
• Implementation of Rank Attack and Its Mitigation in RPL-Based IoT Networks
• Dynamic Obfuscation for Secure and Efficient Multi-Cloud Business Processes
• Approach to Deploying Batch File Data Products in a Big Data Environment
• Enhancing IoT Network Intrusion Detection with a New GraphSAGE Embedding Algorithm Using Centrality Measures
• Agri-Guard: IoT-Based Network for Agricultural Health Monitoring with Fault Detection
• A Technology Review of Zero Knowledge Proof Techniques
• Data Network Game: Enabling Collaboration via Data Mesh
• Internet of Things Devices Management for Smart Cities
• L2C: Learn to Clean Time Series Data
• Enhanced Intrusion Detection in IIoT Networks: A Lightweight Approach with Autoencoder-Based Feature Learning
• Information Flow Control for the Internet of Things
• Real-Time Manufacturing Data Quality: Leveraging Data Profiling and Quality Metrics
• PacketZapper: A Scalable and Automated Platform for IoT Traffic Collection and Analysis
• Automated Test Input Generation Based on Web User Interfaces via Large Language Models
• A Distributed Event-Orchestrated Digital Twin Architecture for Optimizing Energy-Intensive Industries
• IoT-Driven Livestock Monitoring: Leveraging LoRaWAN for Behavior Analysis and Enhanced Farm Management
• Unravelling the Sequential Patterns of Cyber Attacks: A Temporal Analysis of Attack Dependencies
• Smoke Segmentation Improvement Based on Fast Segment Anything Model with YOLOv11 for a Wildfire Monitoring System
• A Comparative Study of Log-Based Anomaly Detection Methods in Real-World System Logs
• Making Use of Design Patterns in IoT Middleware Implementation
• Understanding How to Use Open-Source Libraries for Differentially Private Statistics on Energy Metering Time Series
• Sockpuppet Detection in Wikipedia Using Machine Learning and Voting Classifiers
• A Multilevel Graph-Based Recommender System for Personalized Learning Paths in Archaeological Parks: Leveraging IoT and Situation Awareness
• Analysis and Design of Smart Components in Digital Energy Twins
• A Comparative Analysis of Anonymous and Non-Anonymous Authorization Architectures for IoT Environments in Cooperative Intelligent Transport Systems
• Enhancing Scalability in Wi-Fi IoT Networks with Logical Data Plane Segregation Using SDN Principles
• A Novel Wi-Fi Mesh Network Framework for Efficient Mobile Data Transmission
• Quantum Convolutional Neural Networks for Image Classification: Perspectives and Challenges
• An AI-Driven Methodology for Patent Evaluation in the IoT Sector: Assessing Relevance and Future Impact
• Towards a Digital Twin of the Cardiovascular System
• Enhancing Older Adults’ Well-Being Through QoS-Aware Edge-Cloud eHealth Applications
• The Role of Embodied Conversational Agents in Supporting Older Adults with Hypertension: A Focus Group Study
• Dignified Aging: Experience Report at the Municipal Council for the Rights of the Elderly of Rio De Janeiro (COMDEPI-RIO)
• DanceMove: Promoting Social Interaction and Healthy Ageing Through Foot-Interaction
• Television Is Powerful: An iTV Solution as a Motivator of Social Interactions Among Older Adults
• Bridging Generations: The Role of Digital Media in Fostering Intergenerational Collaboration and Knowledge Exchange
• Connection Between the Real World and the Digital World: Voice Assistants as Promoters of Socialization for Older Adults
• Human Fall Detection in Poor Lighting Conditions Using CNN-Based Model
• Measuring Fall Risk Using the Internet-of-Things Chair
• Pseudorandom Number Generators, Perfect Learning and Model Visualization with Neural Networks: Expanding on LFSRs and Geffe
• Automating the Assessment of Japanese Cyber-Security Technical Assessment Requirements Using Large Language Models
• Generating Realistic Cyber Security Datasets for IoT Networks with Diverse Complex Network Properties
• Design of an IoT-Driven Software Architecture for an Automated Robotic Fueling System in Open-Pit Mining
• Anomalous IoT Behavior Detection by LSTM-Based Power Waveform Prediction
• Cybersecurity Indicators Within a Cybersecurity Testing and Monitoring Framework
• A Study of Anomalous Communication Detection for IoT Devices Using Flow Logs in a Cloud Environment
• EV-Connect: Energy Efficient & Incentive Cost Based Model for Range Anxious EVs with Multi-Hop Socially Assisted V2V Charging
• Intelligent Anomaly Detection for Context-Oriented Data Brokerage Systems
• Clustering-Based Pattern Prediction Framework for Air Pollution Prediction
• Graph-Based Learning for Multimodal Route Recommendation
• The Integration of Time Series Anomaly Detection into a Smart Home Environment
• Towards Client Engagement Using RAG System with Pattern Prediction Framework
• Anomaly Detection on Univariate Time Series Data Using Exponentially Weighted Moving Average (AnEWMA)
• Simulation Architecture for Electric Vehicle Charging Optimization in Dresden's Ostra District