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: Large Language Models and Prompting; Transformers and Representation Learning; Graph Neural Networks and Knowledge Representation; Generative Models and Diffusion.

Inhalt

**.- Large Language Models and Prompting
** .- LLM-PSO: Large Language Model Assisted Particle Swarm Optimization.
.- LLM-Powered Compiler Autotuning.
.- A Symbolic Knowledge Graph Framework for Spatiotemporal Traffic Congestion Analysis with Domain-Assisted Large Language Models.
.- Short Prompts, Long Replies: What Alignment Looks Like in HumanAI Dialogue.
.- Investigating Multimodal Large Language Models to Support Usability Evaluation.
.- The Paradigm Shift in Event Extraction: An In-Depth Overview with Large Language Models.
.- Hallucination Mitigation in Multilingual Large Language Models: A Review of Retrieval-Augmented Generation and Knowledge Graph Approaches.
.- A Comprehensive Survey on Multimodal Large Language Models for Educational Visual Question Answering: Towards Vietnamese Reasoning Systems.
.- Emerging Trends and Challenges Toward LLM Agents in Static Analysis.
.- An LLM-based Multi-agent Framework For Automatic Use Case Diagrams and Scenarios Generation.
**.- Transformers and Representation Learning
** .- GRACE-Net: A Gated Reliability-Aware Attentive Compression Network for Multimodal Sentiment Analysis via Variational Information Bottleneck and Cross-Modal Attention Fusion.
.- SiTeBERT: Pose-based Transformer with Temporal Downsampling for Isolated Sign Language Recognition.
.- MC-JEPA-Hybrid: Integrating OWA Operators and Choquet Integral with Joint-Embedding Predictive Architecture for Enhanced Multi-Criteria Recommendations.
.- Partial Distance Correlation for Confounding-Aware Video Captioning.
.- JEPA-Chain Engineering Framework: From Theory to Production Deployment in Blockchain Optimization.
.- Interpretability TabNet: Enhancing Tabular Deep Learning with Entmax Stability Masking.
.- Transformer-Based Classification of Illicit Darknet Marketplace Products: A Comparative NLP Study of Machine Learning.
**.- Graph Neural Networks and Knowledge Representation
** .- HTARF-Net: Hybrid Transformer-Attention and Random Forest Network Model for Predictive Security Threat Classification.
.- MMLF-GNNT: A Multimodal Late-Fusion Graph Neural Network with Transformer for Sequential Recommendation.
.- Semantic Adaptive Graph Convolutional Network for Efficient Body-Part Skeleton Action Recognition.
.- Temporal Knowledge Graph Completion: A Survey of Models, Benchmarks, and Methodological Perspectives.
.- Graph Retrieval-Augmented Language Model for Question Answering of Vietnamese Law.
.- Towards Explainable Detection of HumanMachine Texts: Methods and Performance Comparison.
**.- Generative Models and Diffusion
** .- Conditional Diffusion Model-Based Approach for Satellite Image Cloud Removal.
.- Hybrid Generative Architecture for Synthetic Data Augmentation in Fungi Segmentation.
.- IM-WGAN: An Improved Wasserstein Generative Adversarial Network Architecture for Zero-Day Botnet Detection.
.- Integrating WGAN-GP Imputation with Broad Learning System for Time-series Rainfall Prediction.
.- Zero-Shot Visual Question Answering Through Iterative and Diverse Clarifying Questioning About Ambiguous Objects.
.- Energy-Guided Automatic Prompting for Segment Anything Model Using Point of Interest Detection.