• 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
• An Interpretable Machine Learning Model for Meningioma Grade Prediction
• 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
• Characterising and Categorising Anonymization Techniques: A Literature-Based Approach
• 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
• Telosian: Reducing False Positives in Real-Time Cyber Anomaly Detection by Fast Adaptation to Concept Drift
• 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
• Evaluation of OCT Image Synthesis for Choroidal and Retinal Layer Segmentation Using Denoising Diffusion Probabilistic Models
• 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
• Phase Combining Strategies for Polarization-Independent Demodulation in a DAS Using Homodyne Detection with Delayed Self-Mixing in a Non-Stabilized Mach-Zehnder Interferometer
• 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
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• Increasing Power Output of Quantum Cascade Lasers (QCLs) Added with AlAs/InAs Layers Through Bandgap Engineering
• Advancing Detector Shielding with Thermo-Optic Defocusing in PMMA Integrated on Silicon Nitride
• Improved Viewing Angle and Light Extraction Efficiency of Microcavity OLED with Corrugated Capping Layer
• Design and Simulation of a Vertical Waveguide Based Polarization Color Routing Device
• OCT Image Inspections of Indicator Plant Leaves Under Environmental Stresses
• Evaluation of Resin Molds Change in Design and Polymerization by Using a Wavefront Sensor
• Effect of Phase Mismatch on the Dynamics of Bragg Solitons in a Semilinear Coupled Bragg Grating System with Cubic-Quintic Nonlinearity
• All-Fibre Comb Filter with Narrow Bandwidth Based on a Dual-Pass Mach-Zehnder Interferometer
• Broadband Infrared Imaging for Enhanced Gas Leak Detection
• Comparative Analysis of Mechanically Induced Long Period Gratings Using Different 3D Printed Grooved Structure Shapes
• Feasibility of Driver Monitoring for Sudden Cardiac Illness Detection
• Microplastic Detection in Lawaye River, San Juan, Batangas City, Philippines Using Front-Face Fluorescence Spectroscopy
• Bag-Level Multiple Instance Learning for Acute Stress Detection from Video Data
• Privacy-Preserving Self-Organization in Distributed Energy Scheduling
• Swarm Behavior Cloning
• Optimizing Sensor Redundancy in Sequential Decision-Making Problems
• Ethics of Autonomous Vehicles: Australians’ Expectations and Moral Preferences
• Cooperative Evacuation Guidance Methods in Large-Scale Disaster Situations Based on Wi-Fi Sensing Data
• Agile Software Management with Cognitive Multi-Agent Systems
• RoDiL: Giving Route Directions with Landmarks by Robots
• Efficient Selection of Consistent Plans Using Patterns and Constraint Satisfaction for Beliefs-Desires-Intentions Agents
• A New Planning Agent Architecture that Efficiently Integrates an Online Planner with External Legal and Ethical Checkers
• Swarm Intelligence-Based Algorithm for Workload Placement in Edge-Fog-Cloud Continuum
• A Computational Model of Trustworthiness: Trust-Based Interactions Between Agents in Multi Agent System
• Multi-Face Emotion Detection for Effective Human-Robot Interaction
• Trust-Based Multi-Agent Authentication Decision Process for the Internet of Things
• Stateful Monitoring and Responsible Deployment of AI Agents
• Integration of Emotionally Intelligent Artificial Intelligence into Neuromarketing: Attitudes, Opportunities, Challenges
• Coordinated Self-Exploration for Self-Adaptive Systems in Contested Environments
• Analysis of the Continuous Effects of Assertive Feedback from a Job Interview Training Agent
• Improving Temporal Knowledge Graph Forecasting via Multi-Rewards Mechanism and Confidence-Guided Tensor Decomposition Reinforcement Learning
• PIMAEX: Multi-Agent Exploration Through Peer Incentivization
• Multimodal Web Agents for Automated (Dark) Web Navigation
• Towards Holistic Approach to Robust Execution of MAPF Plans
• Exploit the Leak: Understanding Risks in Biometric Matchers
• Alexa and Copilot: A Tale of Two Assistants
• Double Q-Learning for a Simple Parking Problem: Propositions of Reward Functions and State Representations
• Investigation of MAPF Problem Considering Fairness and Worst Case
• Enhancing Many-Objective Particle Swarm Optimization with Island Model for Agricultural Optimization
• Strategic Returns Prevention in E-Commerce: Simulating Financial and Environmental Outcomes Through Agent-Based Modeling
• Social Laws for Multi-Agent Pathfinding
• Formal Analysis of Deontic Logic Model for Ethical Decisions
• DeepGen: A Deep Reinforcement Learning and Genetic Algorithm-Based Approach for Coverage in Unknown Environment
• GOLLUM: Guiding cOnfiguration of firewaLL Through aUgmented Large Language Models
• Simulative Analysis of Multi-Agent Systems in Energy Systems: Impact of Communication Networks
• Integrating Traditional Technical Analysis with AI: A Multi-Agent LLM-Based Approach to Stock Market Forecasting
• Prediction-Based Selective Negotiation for Refining Multi-Agent Resource Allocation
• Strategy-Proofness and Non-Obvious Manipulability of Top-Trading-Cycles with Strategic Invitations
• Conceptual Approaches to Identify the Hazardous Scenarios in Safety Analysis for Automated Driving Systems
• Improvement of PIBT-based Solution Method for Lifelong MAPD Problems to Extend Applicable Graphs
• Comparative Analysis of Simulated Annealing and Particle Swarm Optimization for Multi-Robot Task Allocation in ROS
• Negotiation Dialogue System Using a Deep Learning-Based Parser
• Towards Developing Ethical Reasoners: Integrating Probabilistic Reasoning and Decision-Making for Complex AI Systems
• Spiralling Human-Inspired Exploration Algorithm with Doorway Detection
• Efficient Models Deep Reinforcement Learning for NetHack Strategies
• Simultaneous Simulated Annealing-Based Crossover Within a Multi-Agent Model for Solving the Green Share-a-Ride Problem
• What Kind of Information Is Needed? Multi-Agent Reinforcement Learning that Selectively Shares Information from Other Agents
• Impact of Pinging in Financial Markets: An Agent Based Study
• Would Microsoft Azure Stream Analytics Be a Suitable Foundation for an Event Processing Network Model?
• Deep Reinforcement Learning for Auctions: Evaluating Bidding Strategies Effectiveness and Convergence
• Agent-Based Computational Geometry
• Formation Analysis for a Fleet of Drones: A Mathematical Framework
• Enhancing Graph Clustering in Dynamic Networks with Distributed Online Life-Long Learning
• Incentive Design in Hedonic Games with Permission Structures
• Bridging the Semantic Gap in vGOAL for Verifiable Autonomous Decision-Making
• Action-Based Intrinsic Reward Design for Cooperative Behavior Acquisition in Multi-Agent Reinforcement Learning
• MIRSim-RL: A Simulated Mobile Industry Robot Platform and Benchmarks for Reinforcement Learning
• Interview Bot: Can Agentic LLM’s Perform Ethnographic Interviews?
• Construction of Football Agents by Inverse Reinforcement Learning Using Relative Positional Information Among Players
• VITAMIN: A Compositional Framework for Model Checking of Multi-Agent Systems
• AgentFlow: A Context Aware Multi-Agent Framework for Dynamic Agent Collaboration
• Consent Understanding and Verification for Personalized Assistive Systems
• Proposing Hierarchical Goal-Conditioned Policy Planning in Multi-Goal Reinforcement Learning
• Combining Procedural Generation and Genetic Algorithms to Model Urban Growth
• Satisfiability Checking for (Strategic) Timed CTL Using IMITATOR
• TRIZ Agents: A Multi-Agent LLM Approach for TRIZ-Based Innovation
• Multi-Agent System for AI-Assisted Extraction of Narrative Arcs in TV Series
• The Role of Architectures and Information Availability for Anomaly Detection in Cyber-Physical Energy Systems
• Towards Ubiquitous Mapping and Localization for Dynamic Indoor Environments
• Integration of Aggregated Information and Subjective Experience Through Sequential Information Presentation
• Performance Analysis and Failure Mitigation Strategies for a Resilient Dynamic Evacuation Guidance System
• LLM Output Compliance with Handcrafted Linguistic Features: An Experiment
• Co-Activation Graph Analysis of Safety-Verified and Explainable Deep Reinforcement Learning Policies
• A Mixed Quantization Approach for Data-Free Quantization of LLMs
• YeastFormer: An End-to-End Instance Segmentation Approach for Yeast Cells in Microstructure Environment
• Markov Process-Based Graph Convolutional Networks for Entity Classification in Knowledge Graphs
• Hierarchically Gated Experts for Efficient Online Continual Learning
• Socially-Guided Machine Learning for Self-Organised Community Empowerment
• Agentic AI for Behavior-Driven Development Testing Using Large Language Models
• An Efficient Method for Assessing the Strength of Mahjong Programs
• A Federated Approach to Enhance Calibration of Distributed ML-Based Intrusion Detection Systems
• Belief Re-Use in Partially Observable Monte Carlo Tree Search
• Heating up Interactions in an Agent-Based Simulation to Ensure Narrative Interest
• A Deep Learning Approach for Predicting the Response to Anti-VEGF Treatment in Diabetic Macular Edema Patients Using Optical Coherence Tomography Images
• An Efficient Compilation-Based Approach to Explaining Random Forests Through Decision Trees
• Multi-Agent Trajectory Prediction for Urban Environments with UAV Data Using Enhanced Temporal Kolmogorov-Arnold Networks with Particle Swarm Optimization
• Leveraging Embedding Vectors of Aggregate Images for Particle Size Distribution Estimation and Concrete Compressive Strength Prediction
• Real-Time Transaction Fraud Detection via Heterogeneous Temporal Graph Neural Network
• Computing Improved Explanations for Random Forests: k-Majoritary Reasons
• Cellular Automata-Based Model for Simulation of Collective Pedestrian Dynamics in Indoor Environments with Surmountable Obstacles
• The Pros and Cons of Adversarial Robustness
• Large Language Models for Summarizing Czech Historical Documents and Beyond
• Beyond Discrete Environments: Benchmarking Regret-Based Automatic Curriculum Learning in MuJoCo
• Refining High-Quality Labels Using Large Language Models to Enhance Node Classification in Graph Echo State Network
• Robust Autocorrelation for Period Detection in Time Series
• Leveraging Attention Mechanisms for Interpretable Human Embryo Image Segmentation
• A Comparative Study of CNNs and Vision-Language Models for Chart Image Classification
• Automatic Analysis of App Reviews Using LLMs
• Advancing Cross-Lingual Aspect-Based Sentiment Analysis with LLMs and Constrained Decoding for Sequence-to-Sequence Models
• Improved Binary Elk Herd Optimizer with Fitness Balance Distance for Feature Selection Using Gene Expression Data
• SAPG: Semantically-Aware Paraphrase Generation with AMR Graphs
• Enhancing Bilingual Lexicon Induction with Dynamic Translation
• Optimization of Link Configuration for Satellite Communication Using Reinforcement Learning
• Investigating Answer Validation Using Noise Identification and Classification in Goal-Oriented Dialogues
• PurGE: Towards Responsible Artificial Intelligence Through Sustainable Hyperparameter Optimization
• Model Characterization with Inductive Orientation Vectors
• Machine Learning and Deep Learning Approaches for Early Alzheimer’s Detection in Patients with Subjective Cognitive Decline: A Systematic Literature Review
• 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
• Industrial Image Grouping Through Pre-Trained CNN Encoder-Based Feature Extraction and Sub-Clustering
• 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
• Optimizing Object Detection for Maritime Search and Rescue: Progressive Fine-Tuning of YOLOv9 with Real and Synthetic Data
• 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
• Public Transport Network Design for Equality of Accessibility via Message Passing Neural Networks and Reinforcement Learning
• Investigating the Configurability of LLMs for the Generation of Knowledge Work Datasets
• Enhancing Personalized Decision-Making with the Balanced SPOTIS Algorithm
• Estimate Reference Evapotranspiration Using Machine Learning Methods
• 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
• On the Quest for an NLP-Driven Framework for Value-Based Decision-Making in Automatic Agent Architecture
• Fuzzy Logic for Cybersecurity: Intrusion Detection and Privacy Preservation with Synthetic Data
• Multimodal Stock Price Prediction
• AgeGen Bio Track: Continuous Mouse Behavioral Biometrics-Based Age and Gender Profiling in Online Education Platforms
• Design and Implementation of a Data Model for AI Trustworthiness Assessment in CCAM
• Enhanced Guided Local Search for Addressing the Graph Burning Problem
• Learning to Run a Marathon: Avoid Overfitting to Speed
• A Multitier Approach for Dynamic and Partially Observable Multiagent Path-Finding
• Mitigating Algorithmic Bias in Prostate Cancer Risk Stratification with Responsible Artificial Intelligence and Machine Learning
• Federated Learning Harnessed with Differential Privacy for Heart Disease Prediction: Enhancing Privacy and Accuracy
• Scaling Multi-Frame Transformers for End-to-End Driving
• Evaluating Biased Synthetic Data Effects on Large Language Model-Based Software Vulnerability Detection
• Price Drivers in Prediction Markets: An Agent-Based Model of Competing Narratives
• Fine Tuning LLMs vs Non-Generative Machine Learning Models: A Comparative Study of Malware Detection
• GenGUI: A Dataset for Automatic Generation of Web User Interfaces Using ChatGPT
• Enhanced QTTN Design: Scalable Quantum Circuits for Arbitrary Qubit Counts
• ForecastBoost: An Ensemble Learning Model for Road Traffic Forecasting
• Ensemble of Neural Networks to Forecast Stock Price by Analysis of Three Short Timeframes
• Using LLM-Based Deep Reinforcement Learning Agents to Detect Bugs in Web Applications
• Environment Descriptions for Usability and Generalisation in Reinforcement Learning
• Effectiveness of Whisper’s Fine-Tuning for Domain-Specific Use Cases in the Industry
• Reptile Search Algorithm Based Feature Selection Approach for Intrusion Detection
• Translating Akkadian Transliterations to English with Transfer Learning
• Collision Avoidance and Return Manoeuvre Optimisation for Low-Thrust Satellites Using Reinforcement Learning
• Towards Personal Assistants for Energy Processes Based on Locally Deployed LLMs
• GAIus: Combining Genai with Legal Clauses Retrieval for Knowledge-Based Assistant
• Deep Learning-Based Vessel Traffic Prediction Using Historical Density and Wave Features
• Dataset Generation for Egyptian Arabic Sign Language
• Efficient Multi-Agent Exploration in Area Coverage Under Spatial and Resource Constraints
• Image2Life: A Model for 3D Mesh Reconstruction from a Single-Image
• Abnormal Predicates: Learning Categorical Defaults from Probabilistic Rules
• Optimizing Automotive Inventory Management: Harnessing Drones and AI for Precision Solutions
• A Hybrid CNN-LSTM Model for Opinion Mining and Classification of Course Reviews
• Towards AI-Enabled Model-Driven Architecture: Systematic Literature Review
• Automated News Scraping and AI-Powered Analysis for Municipal Crime Mapping
• Tractable Generative Modelling of Cosmological Numerical Simulations
• MOTIF: A Framework for Enhancing the Profiling Module of Generative Agents that Simulate Human Behavior
• Named Entity Discovery and Alignment in Parallel Data
• Towards Multi-View Hand Pose Recognition Using a Fusion of Image Embeddings and Leap 2 Landmarks
• ATFSC: Audio-Text Fusion for Sentiment Classification
• FedKD4DD: Federated Knowledge Distillation for Depression Detection
• Towards Trustworthy AI in Demand Planning: Defining Explainability for Supply Chain Management
• How to Box Your Cells: An Introduction to Box Supervision for 2.5D Cell Instance Segmentation and a Study of Applications
• Agent-Centric Projection of Prompting Techniques and Implications for Synthetic Training Data for Large Language Models
• Morphological Disambiguation of Texts Based on Analogical Proportions
• Neural Networks Bias Mitigation Through Fuzzy Logic and Saliency Maps
• Predicting the State of Health of Supercapacitors Using a Federated Learning Model with Homomorphic Encryption
• UIVLP: An Improved User Interface and Visualization Technique to Visualize Learners’ Performances
• Dimensionality Reduction on the SPD Manifold: A Comparative Study of Linear and Non-Linear Methods
• Occupant Activity Recognition in IoT-Enabled Buildings: A Temporal HTN Planning Approach
• LLMQuoter: Enhancing RAG Capabilities Through Efficient Quote Extraction from Large Contexts
• 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
• Synthetic Data Generation for Emergency Medical Systems: A Systematic Comparison of Tabular GAN Extensions
• Formal Reasoning About Trusted Third Party Protocols
• Analysis of Gaze Behavior for Constructing Learning Support Systems of Pass Behavior in First Person Perspective
• Bringing NL Back with P: Defending Linguistic Methods in NLP for Future AI Applications
• AI-Based Personalized Multilingual Course Recommender System Using Large Language Models
• Proposal of an Automated Testing Method for GraphQL APIs Using Reinforcement Learning
• Detecting Misleading Information with LLMs and Explainable ASP
• Proposal of a Method for Analyzing the Explainability of Similarity Between Short Texts in Spanish
• Applying Informer for Option Pricing: A Transformer-Based Approach
• SPEAR: SPADE-Net and HuBERT for Enhanced Audio-to-Facial Reconstruction
• Generative AI for Islamic Texts: The EMAN Framework for Mitigating GPT Hallucinations
• Limitations of Tokenizers for Building a Neuro-Symbolic Lexicon
• Comparative Analysis of CNNs and Vision Transformer Models for Brain Tumor Detection
• When Are 1.58 Bits Enough? A Bottom-up Exploration of Quantization-Aware Training with Ternary Weights
• Enhanced YOLOv8 Framework for Early Detection of Alzheimer's Disease Using MRI Scans
• A Study on Vulnerability Explanation Using Large Language Models
• Generating Safe Policies for Multi-Agent Path Finding with Temporal Uncertainty
• Explainable AI in Labor Market Applications
• Kernel-Level Malware Analysis and Behavioral Explanation Using LLMs
• Multi-Agent Path Finding Using Provisionally Booking Nodes for Pickup and Delivery Problems
• An Efficient Genetic Algorithm for Service Placement in Fog Computing
• On Enhancing Code-Mixed Sentiment and Emotion Classification Using FNet and FastFormer
• Classification of Complaints Text Data by Ensembling Large Language Models
• Federated Machine Learning Framework for Soil Classification in Smart Agriculture
• Semantic Objective Functions: A Distribution-Aware Method for Adding Logical Constraints in Deep Learning
• Synthesizing Annotated Cell Microscopy Images with Generative Adversarial Networks
• Leveraging Deep Q-Network Agents with Dynamic Routing Mechanisms in Convolutional Neural Networks for Enhanced and Reliable Classification of Alzheimer’s Disease from MRI Scans
• GNN-MSOrchest: Graph Neural Networks Based Approach for Micro-Services Orchestration - A Simulation Based Design Use Case
• Advancing Polycystic Ovary Syndrome Detection with Artificial Intelligence Techniques
• A Deep Learning Approach to Minimize Retrieval Time in Shuttle-Based Storage Systems
• Machine Learning Approaches in the Detection of Amyotrophic Lateral Sclerosis Disease Using Orofacial Gestures
• Making Reinforcement Learning Safer via Curriculum Learning
• Lexical Substitution is not Synonym Substitution: On the Importance of Producing Contextually Relevant Word Substitutes
• Constraint-Based Optimization for Scheduling Medical Appointments
• Neural Architecture Search: Tradeoff Between Performance and Efficiency
• Deep Neural Network Based Algorithm for Recognition of Static Signs of Polish Sign Language
• Intelligent Health & Mission Management Architecture for Autonomous and Resilient Distributed Space Systems
• A Collaborative Approach to Multimodal Machine Translation: VLM and LLM
• Fish Catch Prediction by Combining Fishing, Weather and Tidal Data
• Vision-Language Models for E-commerce: Detecting Non-Compliant Product Images in Online Catalogs
• Application of Large Language Models and ReAct Prompting in Policy Evidence Collection
• Natural Language Interface for Goal-Oriented Knowledge Graphs Using Retrieval-Augmented Generation
• An Empirical Study Using Machine Learning to Analyze the Relationship Between Musical Audio Features and Psychological Stress
• Top-Push Polynomial Ranking Embedded Dictionary Learning for Enhanced Re-Id
• Stacked Ensemble Deep Learning for Robust Intrusion Detection in IoT Networks
• Improving Quality of Entity Resolution Using a Cascade Approach
• Toward a Quantum Fuzzy Approach for Emotion Modeling in Parent-Child Interactivity
• Machine Learning Based Collaborative Filtering Using Jensen-Shannon Divergence for Context-Driven Recommendations
• Generative AI for Human 3D Body Emotions: A Dataset and Baseline Methods
• Deep Learning for Frailty Classification Using Raw Inertial Sensor Gait Data
• Enhanced Credit Card Fraud Detection Using Federated Learning, LSTM Models, and the SMOTE Technique
• Propagation-Based Domain-Transferable Gradual Sentiment Analysis
• Communication and Negotiation to Improve Agent-Based Models
• Multidimensional User Profile Model to Support System Recommendations in Complex Social Networks: Application to Hashtag Recommendations
• Meta-Ensemble Learning for Multi-Trait Optimization in Maize Breeding: Combining Gradient Boosting, Random Forests, and Deep Learning with SVM Integration
• Time Series and Deep Learning Approaches for Predicting English Premier League Match Outcomes
• Improving Controlled Text Generation via Neuron-Level Control Codes
• Time Series Prediction Models for Diabetes: A Systematic Literature Review
• A Leaf Disease Detection Using Machine Learning and Deep Learning: Comparative Study
• Efficient Automatic Data Augmentation of CDT Images to Support Cognitive Screening
• GAna: Model Generators and Data Analysts for Streamlined Processing
• Leveraging Capsule Networks for Robust Brain Tumor Classification and Detection in MRI Scans
• Integrating Machine Learning and Optimisation to Solve the Capacitated Vehicle Routing Problem
• Solving Monge Problem by Hilbert Space Embeddings of Probability Measures
• Hierarchical Decomposition Framework for Steiner Tree Packing Problem
• A Real-World Multi-Depot, Multi-Period, and Multi-Trip Vehicle Routing Problem with Time Windows
• An Airline Profit Management Model with Overbooking and No-Shows
• A Discrete Event Simulation Tool for Conducting a Fleet Mix Study
• Exploration of a Generalized Benders Decomposition Method for Solving Project Scheduling Problems with Resource Constraints
• Modelling Defence Planning as a Sequential Decision Problem
• Data Clustering Using Mother Tree Optimization
• Long-Term Planning of Preventive Maintenance Using Constraint Programming: A Naval Case Study
• The Value of Perfect Forecasting in Optimizing the Management of Energy Communities
• Cost Optimization Analysis of Retrial Machine Repair Problem with Warm Standby Components and Imperfect Coverage
• Predicting Postpartum Depression in Maternal Health Using Machine Learning
• A Green Transportation Problem for e-Commerce Deliveries
• Optimized Scheduling for Electric Vehicle Charging: A Multi-Objective Approach to Grid Stability and User Satisfaction
• Models and Algorithms for the Optimization of Multi-Period Fiber Wholesale Investments Strategies
• Bottleneck Identification in Resource-Constrained Project Scheduling via Constraint Relaxation
• Minimizing Energy Cost in a Job-Shop Scheduling Problem Under ToU Pricing: A New Method Based on a Period-Indexed MILP
• Optimal Covering and Trajectory Planning for Air-Ground Integrated Networks in Post-Disaster Scenarios
• A Stochastic Location-Routing Problem for the Optimal Placement of Lockers
• Fuzzy Rewards on the Multi-Armed Bandits Model
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• Enhancing Circularity in Medical Device Supply Chains by Optimizing EoL Decisions Through Reinforcement Learning: A Multi-Objective Approach
• An Innovative Urban Delivery System Based on Customer-Selected Addresses and Cost-Effective Driver Rates
• Modeling for Assessment of Risks in Smart City Mobility Operations
• A Constraint Satisfaction Problems Based Scalable Framework to Address Large-Scale Realistic Scheduling and Routing Problems
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• Online Joint Optimization of Sponsored Search Ad Bid Amounts and Product Prices on e-Commerce
• A Mixed-Integer Programming Approach for an Extended Fixed Route Hybrid Electric Aircraft Charging Problem
• Enhance Equity in Agricultural Economic Interest Groups
• A Parallel Implementation of the Clarke-Wright Algorithm on GPUs
• Effective Inventory Control Under Very Large Unknown Deterioration Rate and Volatile, Almost Unpredictable Customer Demand
• SMVLift: Lifting Semantic Segmentation to 3D on XR Devices
• Non Contact Stress Assessment Based on Deep Tabular Method
• Stance Detection in Twitter Conversations Using Reply Support Classification
• LAST: Utilizing Synthetic Image Style Transfer to Tackle Domain Shift in Aerial Image Segmentation
• Rethinking Model Selection Beyond ImageNet Accuracy for Waste Classification
• Document Analysis with LLMs: Assessing Performance, Bias, and Nondeterminism in Decision Making
• Silhouette Segmentation for Near-Fall Detection Through Analysis of Human Movements in Surveillance Videos
• Improving Floating Wind Turbine Stability with Evolutionary Computation for TMD Optimization
• Multi-View Skeleton Analysis for Human Action Segmentation Tasks
• Occlusion Detection for Face Image Quality Assessment
• A Hierarchical Classification for Automatic Assessment of the Reception Quality Using Videos of Volleyball and Deep Learning
• Action Recognition in Law Enforcement: A Novel Dataset from Body Worn Cameras
• Speaker Verification Enhancement via Speaking Rate Dynamics in Persian Speechprints
• Deep Learning for Effective Classification and Information Extraction of Financial Documents
• Distribution Controlled Clustering of Time Series Segments by Reduced Embeddings
• DNN Layers Features Reduction for Out-of-Distribution Detection
• Single Hyperspectral Image Super-Resolution Utilizing Implicit Neural Representations
• StylePuncher: Encoding a Hidden QR Code into Images
• A Re-Ranking Method Using K-Nearest Weighted Fusion for Person Re-Identification
• ASTELCO: An Augmented Sparse Time Series Dataset with Generative Models
• Anomaly Detection Methods for Maritime Search and Rescue
• Multiple Importance Sampling for Stochastic Gradient Estimation
• Improving Enjoyment of Cultural Heritage Through Recommender Systems, Virtual Tour, and Digital Storytelling
• Ultrasonic Large Scenario Model (ULSM): Vector Embedding System for Ultrasonic Echo Wave Characteristics
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• A Framework for Identifying Underspecification in Image Classification Pipeline Using Post-Hoc Analyzer
• CGLearn: Consistent Gradient-Based Learning for Out-of-Distribution Generalization
• LostPaw: Finding Lost Pets Using a Contrastive Learning-Based Transformer with Visual Input
• Towards Secure Biometric Solutions: Enhancing Facial Recognition While Protecting User Data
• Data-Centric Optimization of Enrollment Selection in Speaker Identification
• Visualizing Medical Coding Practices Using Transformer Models
• Self-Supervised Transformers for Long-Term Prediction of Landsat NDVI Time Series
• A Study on the Robustness of Object Detectors in Aqua-Farming
• A Comparative and Explainable Study of Machine Learning Models for Early Detection of Parkinson's Disease Using Spectrograms
• TokenOCR: An Attention Based Foundational Model for Intelligent Optical Character Recognition
• An Optimized and Accelerated Object Instance Segmentation Model for Low-Power Edge Devices
• Evaluating LIME and SHAP in Explaining Malnutrition Classification in Children Under Five
• A Two-Stage Approach for Wire Harness Cable Description Using 3D Point Clouds for Robotic Manufacturing
• Pre-Training Deep Q-Networks Eliminates the Need for Target Networks: An Empirical Study
• Poly-MgNet: Polynomial Building Blocks in Multigrid-Inspired ResNets
• 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
• Predicting Photovoltaic Power Output Using LSTM: A Comparative Study Using both Historical and Climate Data
• 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
• Noisemaker 3D: Comprehensive Framework for Mesh Noise Generation
• 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
• Human Pose Estimation from an Extremely Low-Resolution Image Sequence by Pose Transition Embedding Network
• 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
• Online Detection of End of Take and Release Actions from Egocentric Videos
• 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
• Sensor Calibration and Data Analysis of the MuFoRa Dataset
• 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
• Finding the Shear Reflection Symmetry Plane in a 3D Point Cloud
• A Method for Standardizing Eye-Tracking and Behavioral Data in Real and Virtual Environments
• Efficient Tiling of Point Features to 3D Tiles with Discrete LOD
• Geometry and Texture Completion of Partially Scanned 3D Objects Through Material Segmentation
• Fast Detection of Jitter Artifacts in Human Motion Capture Models
• Curvy: A Parametric Cross-Section Based Surface Reconstruction
• Second Order Differential Properties of Tensor Product Fractal Surfaces
• Evaluation of Body Parts Representations in Motion Reconstruction
• 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
• Design and Development of an Interactive and Intelligent Wood Harvester Machine Operator Simulator
• Tutrace: Editable Animated Vector Shape from Video
• Oasis: A Real-Time Hydraulic and Aeolian Erosion Simulation with Dynamic Vegetation
• Forge: Extending Anvil for Visual Evaluation of Rendering Pipelines
• A Proposed Immersive Digital Twin Architecture for Automated Guided Vehicles Integrating Virtual Reality and Gesture Control
• AI-Accelerated Viewshed Computation for High-Resolution Elevation Models
• Backface Distance Fields: Relaxing Signed Distance Fields
• Fast Approximate Symmetry Plane Computation as a Density Peak of Candidates
• Enhancing Sketch Animation: Text-to-Video Diffusion Models with Temporal Consistency and Rigidity Constraints
• Exploring Seated Locomotion Techniques in Virtual Reality for People with Limited Mobility
• Semi-Automatic Generation of Rotoscope Animation Using SAM and k-means Clustering
• A Whole New World: Can Virtual Reality Help to Understand Non-Euclidean Geometries?
• Multiple Multi-Modal AI for Semantic Annotations of 3D Spatial Data
• Generative Narrative-Driven Game Mechanics for Procedural Driving Simulators
• Beyond the Ragdoll: Designing a Safe-Falling Controller for Physically Simulated Characters
• Parallel Axis Split Tasks for Bounding Volume Construction with OpenMP
• Reconstruction of the Botanical Trees from Single-View Images Using Signed Distance Functions
• Blending Realities: Accessible Mixed Reality for Tremor Rehabilitation in Parkinson’s Disease
• 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
• MCPro: A Procedural Method for Topologically Correct Isosurface Extraction Based on Marching Cubes
• Diffusion Transformer Framework for Speech-Driven Stylized Gesture Generation
• VIRTA-Yoke: A Virtual-Integrated Poka-Yoke System for Error Prevention and Operator Training in Manufacturing Processes
• 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
• Combining Redirection with Common Game Elements
• Hands-Free VR
• Exploring Standard and Novel Interactions on a Multi-Touch-Enhanced Mouse
• Impact of Team Models in Hierarchical Human-Agent Decision-Making Teams
• Exploring Extended Reality (XR) in Teaching AI: A Comparative Study of XR and Desktop Environments
• Showing, Telling, and Collaborating: Investigating the Relative Benefits of Videoconferencing and Different Augmented Reality Embodiments for Remote Meetings
• Immersive versus Non-Immersive Virtual Reality Environments: Comparing Different Visualization Modalities in a Cognitive-Motor Dual-Task
• Digital Assistant in a Point of Sales
• XR-Assisted 3D Reconstruction: Improving Model Quality Through Real-Time Feedback
• A Serious Game for Early Detection and Assessment of Social Apathy: A Pilot Study
• Virtual Kitchen: Using a Touch Table for Cognitive Rehabilitation in Activities of Daily Living
• Evaluating Preattentive Processing in Game Settings with Consistent Visual Scenes
• Effects of Overloading Command Capacity of Multiplexed FastTap Menus on Spatial Learning in Tablets
• 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
• Formalization of Pre-Learning Instructional Method Based on Information Processing of Learner Driver
• Vida Migrante: Empathy and the Migrant Experiences Through Data Visualization
• Sharing and Accessing Autobiographical Memories Tied with Media
• Closing the Digital Gap for Incarcerated Students Using Learning Management Systems in the USA
• 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
• ScaleVis: Interactive Exploration of Measurement Instrument Verification Data
• HoloGraphs: An Interactive Physicalization for Dynamic Graphs
• Generative Artificial Intelligence for Immersive Analytics
• SPViz: A DSL-Driven Approach for Software Project Visualization Tooling
• AlertSets: Supporting Exploratory Analysis of Cybersecurity Alerts Through Set Interactions
• GLIMPSE-Med: Single-Screen Visualization of Multivariate Time Series for a Single Individual
• RapViz: Rhyme Detection and Visualization of Rap Music
• SnakeTrees: A Visualization Solution for Discovery and Exploration of Audiovisual Features
• Colorimetric Compensation in Video Mapping for Luggage Inspection
• Interactive Platform for Surveys in Information Visualisation
• Inconspicuous Guides: A Qualitative Study to Understand the Degree of Intrusiveness in Visualization Onboarding
• C4D3: A View-Level Abstraction and Coordination Library for Building Coordinated Multiple Views with D3
• Why Does It Look like this? Introducing a Preliminary Framework for Explainable Graph Drawing (XGD)
• MillefioriAnalyzer: Machine Learning, Computer Vision and Visual Analytics for Provenance Research of Ancient Roman Artefacts
• 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
• LIC-R: Line Integral Convolution Revisited
• Empowering Facility Managers: Multimodal Location-Based Visualization for Smart Sanitizer Dispensers Management
• Interactive Wind Simulation in Settlement Areas
• Active Physicalization of Temporal Bone
• Evaluating Transformers Learning by Representing Self-Attention Weights as a Graph
• PyNarrative: A Python Library for Data Storytelling
• Reflections on the Uses and Available Choices of Categorical Colorschemes
• Evaluating LLMs for Visualization Tasks
• Penta: Towards Visualizing Compound Graphs as Set-Typed Data
• Designing Explainable and Counterfactual-Based AI Interfaces for Operators in Process Industries
• Pulsating Uncertainties: Visualization and Highlighting of Uncertainty in 3D Data Using Animated 2D Transfer Functions
• Delphi: A Natural Language Interface for 2.5D Treemap Visualization of Source Code