Description
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.
