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Intelligent Computing

Proceedings of the 2024 Computing Conference, Volume 3

  • Conference proceedings
  • © 2024

Overview

Editors:
  1. Kohei Arai

    1. Faculty of Science and Engineering, Saga University, Saga, Japan

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  • Presents state of the art chapters on all aspects of Intelligent Computing
  • Covers both the theory and applications for latest technologies and methodologies
  • Proceedings of the Computing Conference 2024

Part of the book series: Lecture Notes in Networks and Systems (LNNS, volume 1018)

Included in the following conference series:

Conference proceedings info: SAI 2024.

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About this book

Explore the forefront of computing with the proceedings of the Computing Conference 2024. Featuring 165 carefully selected papers from a pool of 457 submissions, this collection encapsulates the cutting-edge research and innovation presented during the conference. Delve into a diverse range of topics, insights, and methodologies that shape the future of computing. Whether you're an academic, researcher, or enthusiast, this concise volume offers a snapshot of the dynamic and collaborative spirit defining the Computing Conference 2024.

Keywords

Table of contents (43 papers)

  1. Front Matter

    Pages i-xi
    Download chapter PDF

  2. Selective Coordination Study in a Renewable Energy-Based Microgrid

    • Matthew Zorumski, Hessam Keshtkar, Farideh Doost Mohammadi
    Pages 1-15

  3. SSIVD-Net: A Novel Salient Super Image Classification and Detection Technique for Weaponized Violence

    • Toluwani Aremu, Li Zhiyuan, Reem Alameeri, Mustaqeem Khan, Abdulmotaleb El Saddik
    Pages 16-35

  4. An Intelligent Environment Application Case to Manage Comfort Preferences, at an University Residence

    • Pedro Filipe Oliveira, Paulo Matos
    Pages 36-44

  5. Enhancing Explainability in Mobility Data Science Through a Combination of Methods

    • Georgios Makridis, Vasileios Koukos, Georgios Fatouros, Maria Margarita Separdani, Dimosthenis Kyriazis
    Pages 45-60

  6. A Trust Model for Informed Agent Collaboration in Complex Tasks

    • Ricardo Barbosa, Ricardo Santos, Paulo Novais
    Pages 61-76

  7. Offensive Language Detection from Arabic Texts

    • Arafat A. Awajan
    Pages 77-91

  8. Identifying Potential Customer Using Graph Social Media Analytics

    • Siti Nur Aisyah Anuar, Noryanti Muhammad, Mohd Izhar Firdaus
    Pages 92-103

  9. Categorizing Philanthropic CSR Activities Through Hybrid Approach of Fuzzy Clustering and Topic Modeling

    • Nik Siti Madihah Nik Mangsor, Syerina Azlin Md Nasir, Shuzlina Abdul-Rahman, Zurina Ismail
    Pages 104-122

  10. A Ride-Hailing Company Supply Demand Prediction Using Recurrent Neural Networks, GRU and LSTM

    • Sahand Fathi, Soheil Fathi, Vahid Balali
    Pages 123-133

  11. A Comprehensive Literature Review on Slope Entropy Algorithm: Bridging Past Insights with Future Directions

    • Juan Seguí Moreno, Antonio Molina Picó
    Pages 134-144

  12. Engineering Research Strategies for Investigating Long-Term Automation Effects, Behavioural Adaptation and Change Processes: Experts’ Views

    • Naomi Y. Mbelekani, Klaus Bengler
    Pages 145-168

  13. Cardiac MRI Semantic Segmentation for Ventricles and Myocardium Using Deep Learning

    • Racheal Mukisa, Arvind K. Bansal
    Pages 169-188

  14. Problems of Building Digital Twins of Escalators at Subway Stations Based on Machine Learning

    • Alexey Subbotin, Nataly Zhukova, Mikhail Gudilov
    Pages 189-201

  15. DeepFake Detection Using Deep Learning

    • Nazneen Mansoor, Alexander Iliev Iliev
    Pages 202-213

  16. AI Based Commercial Decisions: The Cryptocurrency Market Case

    • Sujata Joshi, Mohit Satya, Menachem Domb
    Pages 214-223

  17. Applying Formal Methods to Elicit Specifications for Grid Data Analysis Applications Using Machine Learning Algorithms

    • Vinitha Hannah Subburaj, Anitha Sarah Subburaj
    Pages 224-239

  18. ChatGPT and Artificial Intelligence in Higher Education: Literature Review Powered by Artificial Intelligence

    • Andrej Čep, Andrija Bernik
    Pages 240-248

  19. Weak Relation Enforcement for Kinematic-Informed Long-Term Stock Prediction with Artificial Neural Networks

    • Stanislav Selitskiy
    Pages 249-261

  20. A Modified Ant Colony Optimization with KNN for High-Dimensional Data Classification

    • Gideon Popoola, Gerard Shu Fuhnwi, Janet O. Agbaje, Kayode Fesomade
    Pages 262-277
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Other volumes

  1. Intelligent Computing

  2. Intelligent Computing

  3. Intelligent Computing

  4. Intelligent Computing

Editors and Affiliations

  • Faculty of Science and Engineering, Saga University, Saga, Japan

    Kohei Arai

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