This book constitutes the refereed proceedings of the 39th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems on Advances and Trends in Artificial Intelligence, IEA/AIE 2026, held in Kuala Lumpur, Malaysia, July 68, 2026.

The 99 full papers and 8 short papers included in this book were carefully reviewed and selected from 210 submissions. They focus on the following topical sections: Explainable, Trustworthy and Uncertainty-Aware AI; Healthcare and Biomedical AI; Smart Systems, IoT and Computer Vision Applications.

Inhalt

**.- Explainable, Trustworthy and Uncertainty-Aware AI
** .- Reliable Uncertainty-Aware Semi-Supervised Cyberattack Detection in Smart Grids.
.- A Credit Risk Digital Twin Framework with Explainability-Guided Feature Engineering and Counterfactual Simulation.
.- Explainable AI to Improve Machine Learning Reliability for Industrial Cyber-Physical Systems.
.- Benchmarking Local XAI Against TreeSHAP for Explainable Diabetes Prediction.
.- NEM: A Numerical Exact Match Subtype-Aware Metric Family for eXplainable Numerical Accuracy in Specialized Chatbots.
.- Adaptive Conformal Prediction for Reliable and Explainable Medical Image Classification.
.- An Explainable Ensemble CNN Approach for Automated Shrimp Disease Diagnosis Using Enhanced Aquaculture Image Data.
.- From Black-Box to Glass-Box: Explainable AI for Applied Intelligent Software Systems Across the Software Development Life Cycle.
**.- Healthcare and Biomedical AI
** .- Advancing ADMET Prediction via Biological Readacross-Inspired Multitask Learning.
.- AI-Driven Surrogate Models for Predicting Electrode-Scale Discharge Behavior in Lithium-Ion Batteries.
.- A Doubly Robust Policy Learning Approach to Major Recommendation in IT Education.
.- IoT-Based and Intelligent Blood Pressure Monitoring for Hypertensive Disorders of Pregnancy (HDP): A Review.
.- Designing a Local RAG-Based Intelligent Tutoring System for Domain-Specific Education.
.- Benchmarking CNN Architectures Using Transfer Learning for Lipomatous Tumor Classification: A Comprehensive Study.
.- Contrastive Learning and LLM Assisted Linkage to HIV Care for Emergency Department Patients.
.- Quantum-Enhanced Multimodal Generative AI for Early Disease Detection and Personalized Treatment in Healthcare.
.- FetalHeart AI: A Dual-Architecture Self-Supervised Learning Framework Using I-JEPA and V-JEPA 2 for Congenital Heart Disease Detection in Fetal Ultrasound.
.- A Lightweight Feature Extraction Framework for Real-Time Sensor Fault Detection on Edge Devices.
**.- Smart Systems, IoT and Computer Vision Applications
** .- Repositioning Dehazing: A Feature-Consistent Augmentation Framework for Object Detection.
.- LiteVLA-MS: Resolving Motion Under-Specification in Lightweight VisionLanguageAction Models.
.- Multi-view Based Neuro-Symbolic Approach for Facial Action Unit Recognition.
.- An Implementation of Secure UWB Real-Time Positioning System for Industrial Internet of Things.
.- An Urban Planning Framework Leveraging Multi-Agent Systems and Vision Language Models.
.- Query-Guided Context-Aware Multimodal Attention Framework for Traffic Surveillance Video Captioning.
.- A Real-Time Adaptive Sign Language Translation System using Computer Vision and Intelligent Agent Modeling.
.- A Unified Lightweight Deep Learning Model for Multi-Crop Disease Detection.