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Intelligent Computing

Proceedings of the 2023 Computing Conference, Volume 1

  • Conference proceedings
  • © 2023

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 the latest technologies and methodologies
  • Provides proceedings of the Computing Conference 2023

Part of the book series: Lecture Notes in Networks and Systems (LNNS, volume 711)

Included in the following conference series:

Conference proceedings info: SAI 2023.

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Table of contents (94 papers)

  1. Front Matter

    Pages i-xvi
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  2. Bit-Level Operation-Based MAC Unit for Vector Multiplications

    • Feng Yan, Xiaochen Wang, Tiantai Deng
    Pages 1-6

  3. New Routines for Faster Balancing of AVL Trees

    • Orieh Destiny Anyiawe, Austin Ramsey, David Fawcett
    Pages 7-15

  4. Tensor Algebra on an Optoelectronic Microchip

    • Sathvik Redrouthu, Rishi Athavale
    Pages 16-33

  5. Evaluation of Accuracy: A Comparative Study Between Finger Pointing and Stylus Pointing Using Mid-Air Input

    • Zeeshan Haider Malik, Bassam Siddiqui, Afsheen Sabir, Ismail Afzal
    Pages 34-51

  6. Exploring the Application of Gamification in the Software Development Process

    • Lutendo Lesley, Ernest Mnkandla
    Pages 52-68

  7. FCA-SAPO: A New Comprehensive Fog Computing Adoption Model for Saudi Arabian Public Organisations

    • Mohammed Alyami, Natalia Beloff, Martin White
    Pages 69-85

  8. A Review of Computational Load-Balancing for Mobile Edge Computing

    • Michael Wilson, Henry Nunoo-Mensah, Kwame Osei Boateng
    Pages 86-110

  9. Simultaneous Estimation Method of Mutually Correlated Geophysical Parameters and Its Application of Aerosol Parameter Estimation

    • Kohei Arai, Xing Ming Lian
    Pages 111-128

  10. Petri Net Parallel Computing Theory and Applications

    • Marshall Rawson, Michael G. Rawson
    Pages 129-146

  11. Computing the Performance of a New Adaptive Sampling Algorithm Based on The Gittins Index in Experiments with Exponential Rewards

    • James K. He, Sofía S. Villar, Lida Mavrogonatou
    Pages 147-160

  12. Towards Data-Effective Educational Question Generation with Prompt-Based Learning

    • Yongchao Wu, Jalal Nouri, Beáta Megyesi, Aron Henriksson, Martin Duneld, Xiu Li
    Pages 161-174

  13. Building an Artist’s Profile in Javascript: Integrating Data Analytics and the New York Metropolitan Museum of Art Open Dataset to Visualize Elements of an Artist’s Life

    • Suzanna Schmeelk
    Pages 175-187

  14. From Traditional Data Models to Blockchain Technology: A Polyglot Persistence Approach to Store the Electronic Health Record

    • André Araújo, Henrique Couto, Valéria Times, Rendrikson Soares
    Pages 188-201

  15. On Some Confidence Intervals for Estimating the Population Process Capability Index Cp: An Empirical Comparison

    • B. M. Golam Kibria, Shipra Banik
    Pages 202-209

  16. Learning from Few Examples with Nonlinear Feature Maps

    • Ivan Y. Tyukin, Oliver Sutton, Alexander N. Gorban
    Pages 210-225

  17. Retention of Computing Students in a London-Based University During the Covid-19 Pandemic Using Learned Optimism as a Lens: A Statistical Analysis in R

    • Alexandros Chrysikos, Indrajitrakuraj Ravi, Dimitrios Stasinopoulos, Robert Rigby, Stephen Catterall
    Pages 226-249

  18. Abbreviation Disambiguation: A Review of Modern Techniques to Improve Machine Reading Comprehension

    • Vince Sing Choi, Kazem Taghva
    Pages 250-261

  19. On the Use of Generative Adversarial Networks to Generate Face Images from Voice Neural Embeddings

    • Christian Salamea-Palacios, Edison Zumba-Narváez, Fernando Zumba-Narváez
    Pages 262-273

  20. The Active Nonsmooth Manifolds of a Neural Network Classifier: A Tool for Confidence Assessment

    • Stéphane Chrétien, Volodimir Mitarchuk, Julien Velcin
    Pages 274-288
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Other volumes

  1. Intelligent Computing

  2. Intelligent Computing

Keywords

About this book

This book is a collection of insightful and unique state-of the-art papers presented at the Computing Conference which took place in London on June 22–23, 2023. A total of 539 papers were received out of which 193 were selected for presenting after double-blind peer-review. The book covers a wide range of scientific topics including IoT, Artificial Intelligence, Computing, Data Science, Networking, Data security and Privacy, etc. The conference was successful in reaping the advantages of both online and offline modes. The goal of this conference is to give a platform to researchers with fundamental contributions and to be a premier venue for academic and industry practitioners to share new ideas and development experiences. We hope that readers find this book interesting and valuable. We also expect that the conference and its publications will be a trigger for further related research and technology improvements in this important subject.

Editors and Affiliations

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

    Kohei Arai

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