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Artificial Intelligence for Knowledge Management, Energy and Sustainability

10th IFIP International Workshop on Artificial Intelligence for Knowledge Management, AI4KMES 2023, Krakow, Poland, September 30–October 1, 2023, Revised Selected Papers

  • Conference proceedings
  • © 2024

Overview

Editors:
  1. Eunika Mercier-Laurent

    1. University of Reims Champagne-Ardenne, Reims, France

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  2. Gülgün Kayakutlu

    1. Energy Institute, Istanbul Technical University, Istanbul, Türkiye

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  3. Mieczyslaw Lech Owoc

    1. Wroclaw University of Economics and Business, Wroclaw, Poland

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  4. Abdul Wahid

    1. University of Galway, Galway, Ireland

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  5. Karl Mason

    1. University of Galway, Galway, Ireland

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Part of the book series: IFIP Advances in Information and Communication Technology (IFIPAICT, volume 693)

Included in the following conference series:

Conference proceedings info: AI4KMES 2023.

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About this book

This volume IFIP AICT 693 constitutes the refereed proceedings of the 10th IFIP International Workshop on Artificial Intelligence for Knowledge Management, AI4KMES 2023, from September 30th – October 1st, 2023, held in Krakow, Poland.

The 15 full papers presented together with 2 short papers were carefully reviewed and selected from 49 submissions. The accepted papers covered a large scope of topics related to sustainability in various contexts such as smart cities, agriculture, energy and gas production and distribution, industry, management and biodiversity. 

Keywords

Table of contents (17 papers)

  1. Front Matter

    Pages i-xiv
    Download chapter PDF

  2. Artificial Intelligence, Sustainability and Climate Change

    • Eunika Mercier-Laurent
    Pages 1-10

  3. In Search for Model-Driven eXplainable Artificial Intelligence

    • Antoni Ligęza, Dominik Sepioło
    Pages 11-26

  4. An Intelligent Chatbot Based on Hybrid Approach Implementing Technical Knowledge to Support Maintenance and Training Activities at Electricity of France (EDF)

    • Anne Dourgnon, Alain Antoine, Pascal Albaladejo, Fabrice Vinet
    Pages 27-37

  5. Supporting Food Computing with Ontologies and Artificial Intelligence Methods for Sustainability

    • Weronika T. Adrian, Julia Ignacyk, Katarzyna Pyrczak, Krzysztof Kluza, Piotr Wiśniewski, Antoni Ligęza
    Pages 38-54

  6. The Use of Semantic Networks for the Categorization of Prosumers: Expanded Version

    • Iwona Chomiak-Orsa, Andrzej Greńczuk, Kamila Łuczak, Dorota Jelonek
    Pages 55-67

  7. Methods for Mitigating Gender Bias in Binary Classification Models – A Comparative Analysis

    • Andrzej Małowiecki, Iwona Chomiak-Orsa
    Pages 68-79

  8. ChatGPT as a Learning Tool in Business Education. Research on Students’ Motivation

    • Aleksander Binsztok, Beata Butryn, Katarzyna Hołowińska, Mieczysław L. Owoc, Małgorzata Sobińska
    Pages 80-91

  9. Integrating Artificial Intelligence into Electric Vehicle Energy Systems: A Survey

    • Weiqi Hua, Daniel Mullen, Abdul Wahid, Khadija Sitabkhan, Karl Mason
    Pages 92-115

  10. Towards Sustainable Power Systems: Exploring the Opportunities of Multi-task Learning for Battery Degradation Forecasting

    • Emilie Grégoire, Sam Verboven
    Pages 116-133

  11. Classification Tree Based AI System for Short Term Prediction for Heat and Power Plants

    • Małgorzata Markowska, Andrzej Sokołowski, Grzegorz Migut, Danuta Strahl
    Pages 134-149

  12. The Influence of Neural Networks on Hydropower Plant Management in Agriculture: Addressing Challenges and Exploring Untapped Opportunities

    • C. Coelho, M. Fernanda P. Costa, L. L. Ferrás
    Pages 150-160

  13. Usability of Honeybee Algorithms in Practice. Towards Nature-Inspired Sustainable Development

    • Mieczysław L. Owoc
    Pages 161-176

  14. Automatic Coral Morphotypes Detection with YOLO: A Deep Learning Approach for Efficient and Accurate Coral Reef Monitoring

    • Younes Ouassine, Jihad Zahir, Noël Conruyt, Mohsen Kayal, Philippe A. Martin, Eric Chenin et al.
    Pages 177-188

  15. Answering Key Questions About Air Pollution Dynamics in Ho Chi Minh City: A Spatiotemporal Analysis Using the XAI-SHAP Clustering Approach

    • Polat Goktas, Rajnish Rakholia, Ricardo S. Carbajo
    Pages 189-203

  16. Crowdsourcing as a Tool for Smart City Within Sustainable Development

    • Lukasz Przysucha, Adam Sulich
    Pages 204-219

  17. Model of Relationship Between Circular Economy and Industry 5.0

    • Adam Sulich
    Pages 220-236

  18. Reduction of Carbon Dioxide Emissions of IT Hardware

    • Kamil Hudaszek, Iwona Chomiak-Orsa, Saeed Abdullah M. AL-Dobai
    Pages 237-251

  19. Back Matter

    Pages 253-254
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Other volumes

  1. Artificial Intelligence for Knowledge Management, Energy and Sustainability

Editors and Affiliations

  • University of Reims Champagne-Ardenne, Reims, France

    Eunika Mercier-Laurent

  • Energy Institute, Istanbul Technical University, Istanbul, Türkiye

    Gülgün Kayakutlu

  • Wroclaw University of Economics and Business, Wroclaw, Poland

    Mieczyslaw Lech Owoc

  • University of Galway, Galway, Ireland

    Abdul Wahid, Karl Mason

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