Advances and Trends in Artificial Intelligence. Theory and Applications

38th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2025, Kitakyushu, Japan, July 1-4, 2025, Proceedings, Part II
Erscheinungsjahr 2025
ISBN: 978-981-968891-3
Verlag: Springer

Buch, Englisch, 542 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 855 g

Reihe: Lecture Notes in Artificial Intelligence

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.

Zielgruppe

Research

Autoren/Hrsg.

Fujita, Hamido

Watanobe, Yutaka

Ali, Moonis

Wang, Yinglin

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz

Inhaltsverzeichnis

.- 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.