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: Industry, Manufacturing and Fault Diagnosis; Security, Privacy and Trustworthy AI; Reinforcement and Multi-Agent Learning; Machine Learning Methods and Evaluation; Adaptive Learning and Contrastive/Energy-Based Methods; Fuzzy Systems, Optimization and Emerging Applications.

Inhalt

**.- Industry, Manufacturing and Fault Diagnosis
** .- Empirical Evaluation of Rule-Based and Machine Learning Approaches for Fault Detection in Building HVAC Systems.
.- Saving Energy with Compiler Autotuning.
.- Self-Supervised Magnetic Fault Diagnosis in PMSMs Using Self2Self+ and FEM-Based Flux Maps.
.- A New Approach to Transformer-based State Encoding for Deep Reinforcement Learning Scheduling in Sustainable HPC Systems.
.- Performance Evaluation of Deep Learning Models for Counting Bus Passengers on Low-energy Edge Devices.
.- Adaptive Coordination in Multi-Agent Systems Inspired by Reinforcement Learning and Couzin-Leader Models.
.- Spectral Fault Receptive Fields: A MATLAB Toolbox for Health Monitoring of Rotating Machinery.
.- Q-Fidelity: Hybrid QuantumClassical Anomaly Detection with Illumination-Conditioned Noise on MVTec AD 2.
.- Industrial Visual Anomaly Detection in Robotics: Methods, Datasets, and Deployable System Architectures.
**.- Security, Privacy and Trustworthy AI
** .- A FAIR-Aligned Data Engineering Architecture Enabling Machine Learning-Ready Cancer Mortality Surveillance in Brazil.
.- A Security Intelligence Model for Collaborative CloudIoT Environments Using Multi-Client Federated LSTM Learning.
.- Unsupervised SEC Form 4 Footnote Change Detection using Fine-Tuned Sentence Transformer and Multi-Task LSTM Networks.
.- SaltGuard: A Reproducible Data-to-Model System for Enhancing Salinity Intrusion Analysis in the Mekong Delta.
.- AN AI-Powered Exoskeleton for Upper-Limb Rehabilitation.
.- XC-IDS: Concept-Based Explainable Intrusion Detection via TCAV and MITRE ATT&CK.
.- MAHAN: A Memory-Aware Hybrid Attention Network for Obfuscated Malware Detection in Volatile Memory Forensics.
.- Multimodal Feature Fusion for Portable Executable Malware Detection and Classification.
.- Enhanced Inclusive Cybersecurity and Safety Risk Assessment (E-ICSRA) Framework for Industrial Control Systems.
**.- Reinforcement and Multi-Agent Learning
** .- A Multi-Agent Reinforcement Learning Approach with Self-Attention for Multi-Stock Portfolio Trading.
.- MOD my Catalog: Adopting the MOD-API in TOOL.
.- Adaptive Heterogeneous Soft Island Models for Population-Based Optimization.
.- Rapid Robot Deployment through One-Shot Learning from Demonstration.
.- From Assistant to Agent: A State-Aware VLM Framework for Intelligent Human-Robot Collaboration System.
.- Enhancing Stability and Convergence in Graph-Based Chess Reinforcement Learning Using Adaptive Optimization Strategies.
.- Testing Reinforcement Learning Applications with Test Suites Generated from Ontologies.
.- An Agentic RAG-Based LLM System for Medicine Recommendation.
.- A Deep Reinforcement Learning Approach for the Hoist Scheduling Problem in Electroplating Lines: A Proof of Concept.
**.- Machine Learning Methods and Evaluation
** .- Comparative Analysis of Deep Convolutional Neural Networks for Rice Disease Identification in Precision Agriculture.
.- Comparing Weight Aggregation Strategies in Group Decision Analysis.
.- An Adaptive and Uncertainty-Aware Ensemble Learning Model for Predicting IT Graduates' GPA Using Socio-Economic, Academic, and Demographic Data.
.- Extracting Travel Time Information from Raw GPS Data for Public Bus Transportation: A Case Study in Ho Chi Minh City, Vietnam.
.- A Scalable Framework for Entity Resolution and Corporate Network Inference in Large Business Data.
.- Adaptive Temporally-Aware Action Quality Assessment: A Prototype Learning Framework.
.- Shape-Aware Compression of Streaming Data: An Online Dynamic Polynomial Selection Approach.
.- Context- and Exposure-Conditioned User-State Signals in Desktop 3D Learning Simulations.
.- A Performance Study of Online Missing Value Imputation Techniques.
**.- Adaptive Learning and Contrastive/Energy-Based Methods
** .- New Score Function to Ranking Interval-Valued Intuitionistic Fuzzy Values.
.- Adaptive Conditional-Residual Deep Video Coding with Pixel-wise Motion-Aware Masks.
.- Improving ASD Gait Recognition by Combining Normalized Skeleton Data with Dynamic Motion Features.
.- Mitigating the Long-Context Bottleneck: Prompt Compression Techniques for Real-Time Vietnamese Human-Robot Interaction.
.- Energy-Based Fair Recommendations: Unifying Contrastive Learning and Energy Statistics for Bias Mitigation.
.- Discourse Modeling and Corpus Compliance Analysis for Drone-ATC Interactions.
.- An Architecture for Triadic Empathic Social Agents with the Integration of the Theory of Mind.
**.- Fuzzy Systems, Optimization and Emerging Applications
** .- Fuzzy-DJSF: DJSF Optimization Method with Adaptive Scheduling Algorithm for Handling Uncertainty in Hadoop YARN Clusters.
.- AI-Based System for Automatic Backlog Generation and Preliminary Estimation from Requirement Documents.
.- RAMR: A Reliability-Aware Multimodal Framework for Image-Based Recommendation with Adaptive Fusion and Graph Reliability Propagation.
.- Computing the Distribution of the Traces of a Business Process by their Lengths.
.- Application of Machine Learning in Predicting and Optimizing the Adsorption of Ciprofloxacin Using the Biochar-Fe3O4-Chitosan Material.
.- Physical Layer Security of NOMA Networks with Energy Harvesting and Intelligent Reflective Surfaces.
.- A New Blockchain Framework For A Fall Detection System.
.- Research on CAD Agent Construction Framework Driven by Geometric Constraint Chains.
.- Formation Over Retrieval: The Living Reference as a Condition of Persistent Presence in HumanAI Systems.