This book constitutes the refereed proceedings of the 38th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems on Advances and Trends in Artificial Intelligence, IEA/AIE 2025, held in Kitakyushu, Japan, in July 1–4, 2025. The 80 full papers and 9 short papers included in this book were carefully reviewed and selected from 130 submissions. They focus on the following topical sections: Part I: Reinforcement Learning; Optimization; Natural Language Processing; Multi-Agent; Machine Learning and Decision Making; Knowledge Representation; Data Engineering; Large Language Model; Computer Vision. Part II: Robotics; Education; Cyber Security; Healthcare and Medical Applications; Advanced Applied Intelligence Methodologies and Applications; Intelligent Systems and e-Applications; Industrial and Engineering Applications.

Table of Contents:
.- Robotics. .- A Novel Task Assignment Strategy for Multi-Robot System. .- Robotic Path Optimization for Efficient Robot Movement in Harsh Environments. .- A Hybrid Approach for Path Planning in Harsh Environments Combining WOA and DMSGPSO. .- Multi-Class Semantic Segmentation of Photovoltaic Module Defects and Features: Towards Industrial Robotic Applications. .- Transformer-Based UWB Positioning: Learning to Correct Ranging Errors for Autonomous Agents. .- Collision Detection and Avoidance among SWARM Robots using Convolutional neural network (CNN) in Harsh Environment. .- Education. .- Interpretable Machine Learning for Predicting and Explaining Code Submission Outcomes in an Online Judge system. .- Teaching Practices and Effectiveness Assessment of AI Courses Assisted by Large Language Models. .- Cyber Security. .- A Self-Adaptive Multi-Modal Cyber Threat Intelligence Framework for Securing Industrial Communication Networks. .- RANsomCheck: A CNN-Transformer Model for Malware Detection Based on API Call Sequences. .- A Comprehensive Survey of Cryptography Key Management in Decentralized Identity Ecosystem. .- Healthcare and Medical Applications. .- Assessment of frailty levels in older adults through smartphone applications. .- Ranking Lifelogs for Memory Recall Support. .- An Efficient and Cost-Effective Medicine Reminder and Dispenser System. .- Comparative Analysis of Large Language Models and Machine Learning Approaches for the Detection of Dengue Fever Information from ProMED-mail Platform. .- Model-based diagnosis for building systems - results of an initial feasibility study. .- Leveraging Real-World Data to Predict Macrovascular Complications in Type 2 Diabetes: A Comparative Machine Learning Study. .- T-test-based Feature Selection on DNA Microarrays Gene Expression Data for Leukemia Classification. .- MediTHIM: Temporal Hierarchical Imputation Methods for Medical Time Series. .- IoT system based on deep learning for the identification and feedback of work postures when using a computer. .- Advanced Applied Intelligence Methodologies and Application. .- A Novel Score Function for Ranking Interval-Valued Intuitionistic Fuzzy Values. .- BF-YOLOv7: Enhancing Helmet Rule Violation Detection. .- A Smartphone-based Early Detection and Remote Consultation System for Stroke and Dementia. .- Implementation of a One-Time Random Number Generation Mechanism for Zero-Trust Networks with IoT Transmission Verification. .- Adaptive DRL-Based Traffic Signal Control with an Infused LSTM Prediction Model. .- A Fast R1CS Normalization Method Based on Parameter Vectors. .- Effective Virtual Force Estimation with Semi-Parametric Joint Friction Compensation for Robot Manipulators. .- Enhancing Traffic Accident Detection with YOLOv5 in Smart City Road Monitoring. .- Intelligent Systems and e-Applications. .- Improving University Quality from Student Feedback with Sentiment Analysis. .- Fusion in Multimodal Sentiment Analysis: A Review of Approaches and Challenges. .- Multimodal Sarcasm Detection On Vietnamese Social Media. .- Fine-grained WEEE Product Retrieval Using Hybrid Search and Re-ranking. .- A Hybrid Knowledge-Based and Machine Learning Approach for Financial Health Prediction in Small and Medium-sized Enterprises. .- Enhancing Ransomware Detection Using Deep Learning Models. .- CAGN-GAT Fusion: A Hybrid Contrastive Attentive Graph Neural Network for Network Intrusion Detection. .- Industrial and Engineering Applications. .- Using Meta-Learning to Predict Work-in-Progress: An Approach for Small Datasets. .- Evaluating Large Language Models for the Automated Generation of Software Requirements. .- Establishing the subscription service strategies for digital music services using the DAA-NRM approach. .- Multi-Objective Energy-Efficient Scheduling in Two Stages Hybrid Flowshop under Consideration of No-wait. .- Beyond Air Pollution Prediction: A Step to Pollution Pattern Discovery With A Novel Binary Neuro-symbolic AI Framework . .- A Dual-Agent Framework for Condition-Based Maintenance of Production Systems. .- MST-SGAN-KGQA: An Approach for Industrial Knowledge Graph Quality Assessment. .- Adversarial Learning Based Error Detection for Industrial Knowledge Graphs. .- Development and Performance Evaluation of a Wiring Safety Detector for Electrical Sockets in Buildings.