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

Häftad, Engelska, 2025

Av Hamido Fujita, Yutaka Watanobe, Moonis Ali, Yinglin Wang

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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.

Produktinformation

Utgivningsdatum2025-07-12
Mått155 x 235 x 31 mm
Vikt855 g
FormatHäftad
SpråkEngelska
SerieLecture Notes in Computer Science
Antal sidor542
FörlagSpringer Nature Switzerland AG
ISBN9789819688913
OriginaltitelAdvances and Trends in Artificial Intelligence. Theory and Applications

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.- 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.