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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

  • Conference proceedings
  • © 2025

Overview

Editors:
  1. Hamido Fujita

    1. University of Technology Malaysia, Kuala Lumpur, Malaysia

  2. Yutaka Watanobe

    1. University of Aizu, Aizu-Wakamatsu, Japan

  3. Moonis Ali

    1. Texas State University, San Marcos, USA

  4. Yinglin Wang

    1. Shanghai University of Finance and Economics, Shanghai, China

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 15707)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

Included in the following conference series:

Conference proceedings info: IEA/AIE 2025.

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About this book

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.

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Table of contents (44 papers)

  1. Front Matter

    Pages i-xxix
    Download chapter PDF

  2. Robotics

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. A Novel Task Assignment Strategy for Multi-robot System

      • Md Ali Haider, Raihan Kabir, Shah Alam Hossain, Yutaka Watanobe
      Pages 3-14

    3. Robotic Path Optimization for Efficient Robot Movement in Harsh Environments

      • Raihan Kabir, Keitaro Naruse, Md Rashedul Islam, Dake Ding
      Pages 15-26

    4. A Hybrid Approach for Path Planning in Harsh Environments Combining WOA and DMSGPSO

      • Md Obaydullah Al Numan, Raihan Kabir, Md Rashedul Islam, Yutaka Watanobe
      Pages 27-36

    5. Multi-class Semantic Segmentation of Photovoltaic Module Defects and Features: Towards Industrial Robotic Applications

      • Shiva Hanifi, Sasan Jafarnejad, Mathieu Cormier, Raphaël Frank
      Pages 37-48

    6. Transformer-Based UWB Positioning: Learning to Correct Ranging Errors for Autonomous Agents

      • Somayeh Modaberi, Behrouz Far
      Pages 49-61

    7. Collision Detection and Avoidance Among SWARM Robots Using Convolutional Neural Networks (CNNs) in a Harsh Environment

      • Shah-Alam Hossain, Md Obaydullah Al Numan, Md Ali Haider, Raihan Kabir
      Pages 62-73

  3. Education

    1. Front Matter

      Pages 75-75
      Download chapter PDF

    2. Interpretable Machine Learning for Predicting and Explaining Code Submission Outcomes in an Online Judge System

      • Leonard Chukwualuka Nnadi, Dake Ding, Daniel M. Muepu, Md Faizul Ibne Amin, Raihan Kabir
      Pages 77-88

    3. Teaching Practices and Effectiveness Assessment of AI Courses Assisted by Large Language Models

      • Shih-Chuan Chang, Yung-Chun Chang
      Pages 89-100

  5. Healthcare and Medical Applications

    1. Front Matter

      Pages 141-141
      Download chapter PDF

    2. Assessment of Frailty Levels in Older Adults Through Smartphone Applications

      • Andreu Català, Jordi Ollé, Xavier Parra, Carlos Pérez-López, Oscar Macho-Pérez, Marta Arroyo-Huidobro et al.
      Pages 143-152

    3. Ranking Lifelogs for Memory Recall Support

      • Harumi Murakami, Sihan Wang, Takashi Hirata
      Pages 153-162

    4. An Efficient and Cost-Effective Medicine Reminder and Dispenser System

      • Hailemicael Lulseged Yimer, Huiming Yu, Xiaohong Yuan, Jinsheng Xu, Letu Qingge
      Pages 163-175

    5. Comparative Analysis of Large Language Models and Machine Learning Approaches for the Detection of Dengue Fever Information from ProMED-Mail Platform

      • Kai-Shun Lin, Feng-Jen Tsai, Nai-Wen Kuo, Yung-Chun Chang
      Pages 176-187
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Other volumes

  1. Advances and Trends in Artificial Intelligence. Theory and Applications

  2. Advances and Trends in Artificial Intelligence. Theory and Applications

Editors and Affiliations

  • University of Technology Malaysia, Kuala Lumpur, Malaysia

    Hamido Fujita

  • University of Aizu, Aizu-Wakamatsu, Japan

    Yutaka Watanobe

  • Texas State University, San Marcos, USA

    Moonis Ali

  • Shanghai University of Finance and Economics, Shanghai, China

    Yinglin Wang

Accessibility Information

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This PDF has been created in accordance with the PDF/UA-1 standard to enhance accessibility, including screen reader support, described non-text content (images, graphs), bookmarks for easy navigation, keyboard-friendly links and forms and searchable, selectable text. We recognize the importance of accessibility, and we welcome queries about accessibility for any of our products. If you have a question or an access need, please get in touch with us at accessibilitysupport@springernature.com. Please note that a more accessible version of this eBook is available as ePub.

EPUB accessibility summary

This ebook is designed with accessibility in mind, aiming to meet the ePub Accessibility 1.0 AA and WCAG 2.2 Level AA standards. It features a navigable table of contents, structured headings, and alternative text for images, ensuring smooth, intuitive navigation and comprehension. The text is reflowable and resizable, with sufficient contrast. We recognize the importance of accessibility, and we welcome queries about accessibility for any of our products. If you have a question or an access need, please get in touch with us at accessibilitysupport@springernature.com.

Bibliographic Information

  • Book Title: Advances and Trends in Artificial Intelligence. Theory and Applications

  • Book Subtitle: 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

  • Editors: Hamido Fujita, Yutaka Watanobe, Moonis Ali, Yinglin Wang

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-981-96-8892-0

  • Publisher: Springer Singapore

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025

  • Softcover ISBN: 978-981-96-8891-3Published: 12 July 2025

  • eBook ISBN: 978-981-96-8892-0Published: 11 July 2025

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XXIX, 542

  • Number of Illustrations: 35 b/w illustrations, 148 illustrations in colour

  • Topics: Artificial Intelligence

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