Responsible Artificial Intelligence and Data Science (Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering)

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Responsible Artificial Intelligence and Data Science (Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering)

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Description

This book constitutes the refereed proceedings of the Second EAI International Conference on Responsible Artificial Intelligence and Data Science, RAIDS 2026, held in Danang, Vietnam, during March 10-12, 2026.

The 37 full papers included in this book were carefully reviewed and selected from 93 submissions. They were organized in topical sections as follows: AI Applications in Healthcare and Biomedical Engineering; Computer Vision, Image Processing and Industrial Applications; Natural Language Processing and Speech Technologies; AI in Education and Human-Centered Learning; Responsible AI, Ethics and Societal Impact; and Emerging Technologies and Other Applications.

.- AI Applications in Healthcare and Biomedical Engineering.

.- An Optimized Soft Voting Ensemble Approach for Heart Disease Prediction.

.- An ensemble learning framework for gallstone disease prediction with genetic algorithm based feature selection.

.- Development of a deep-learning model for detecting large cerebral vessel occlusions.

.- An Explainable Attention-Based Deep Learning Framework for Pediatric Heart Murmur Screening Using Phonocardiograms.

.-  An Explainable Hybrid Deep Learning Framework for Multi-Label ECG Arrhythmia Classification.

.- Toward robust and frugal AI Models for capture and analysis of Physiological Signals.

.- Physics-Guided Neural Networks for pressure prediction in Medical compression stockings.

.- Responsible Interpretability: Graph-Integrated Concept Bottleneck Models for Lung Nodule Classification.

.- A Transformer-Based Deep Learning Framework for 3D Segmentation of Intracranial Aneurysms on CTA.

.- Computer Vision, Image Processing and Industrial Applications.

.- End-to-End License Plate Recognition using YOLO-RVT: A Recurrent Vision Transformer-Based Framework for Accurate Sequence Prediction.

.- Anomaly Detection and Fault Classification of Rolling Bearings Using Vibration Signals: Toward Edge-Based Industrial Fault Diagnosis.

.- Development of a Weld Surface Inspection System Using Deep Learning.

.- ENHANCED IMAGING PERFORMANCE IN CONFOCAL SCANNING FLUORESCENCE MICROSCOPY USING TWO-BEAM ILLUMINATION WITH SQUARE-ROOT SUBTRACTION.

.- Improving CNN Generalization via Late-Epoch Post-Training Weight Averaging.

.- Multimodal large language models for Recycling Classification.

.- Optimizer Dynamics in Imbalanced Image Classification: Impacts on Minority-Class Learning.

.- Unified Benchmarking of Underwater Image Enhancement Models.

.- DEM-Compatible Physics-Informed Neural Networks for Temperature Prediction in Selective Laser Melting.

.- Enhancing Adversarial Robustness of EfficientNet Models.

.- Natural Language Processing and Speech Technologies.

.- DistilPho: A Distilled PhoBERT Model for Efficient Vietnamese Sentiment Analysis.

.- Enhancing Vietnamese Toxic Speech Detection with Controlled Synthetic Data Generation from Large Language Models.

.- AI-Powered Speech Synthesis for Accessible Learning: A Multilingual Approach for Visually Impaired Students in Open Universities.

.- AI in Education and Human-Centered Learning.

.- Beyond Optimization: A Bio-Cybernetics Framework for Responsible Personalized Learning Through Graph-Cognitive Knowledge Trees and Cognitive Homeostasis.

.- Generative AI in Higher Education: An Interaction-Based Framework for Understanding Gemini Adoption.

.- Human-Centered AI for English Writing Assessment: Balancing Automated Scoring and Teacher Judgment.

.- Responsible AI, Ethics and Societal Impact.

.- A symbiotic view of responsible artificial intelligence& human system from the perspective of its usability.

.- Examine the Impacts of AI on Job Displacement: A Review On Recent Studies.

.- Exploring Jailbreak Attacks Against LLMs.

.- Responsibility of Human-Robot Collaboration to Inclusive Green Growth with the Mediating Role of Circular Economy Entrepreneurship.

.- ToM-MAS: An Auditable Benchmark for Theory-of-Mind Multi-Agent Systems with Graph Memory.

.- Adaptive-TranAD: Online Test-Time Adaptation for Non-Stationary Multivariate Time Series Anomaly Detection.

.- Emerging Technologies and Other Applications.

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