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Machine Learning and the Internet of Things in Education

Models and Applications

  • Book
  • © 2023

Overview

Editors:
  1. John Bush Idoko

    1. Computer Engineering Department, Near East University, Lefkosa, Cyprus

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    You can also search for this editor in PubMed   Google Scholar

  2. Rahib Abiyev

    1. Department of Computer Engineering, Near East University, Nicosia, Cyprus

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  • Depicts the challenges and understanding of role of technology in the fields of machine learning and IoT for teaching
  • Focuses on the design and implementation of algorithmic applications in AI and IoT with pertinent applications
  • Showcases recent machine learning techniques and Internet of Things technologies, particularly for learning purposes

Part of the book series: Studies in Computational Intelligence (SCI, volume 1115)

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About this book

This book is designed to provide rich research hub for researchers, teachers, and students to ease research hassle/challenges. The book is rich and comprehensive enough to provide answers to frequently asked research questions because the content of the book touches several disciplines cutting across computing, engineering, medicine, education, and sciences in general. The rich multidisciplinary contents of the book promise to leave all users satisfied. The valuable features in the book include but not limited to: demonstration of mathematical expressions for implementation of machine learning models, integration of learning techniques, and projection of future AI and IoT technologies. These technologies will enable systems to be simulative, predictive, and self-operating smart systems. The primary audience of the book include but not limited to researchers, teachers, and postgraduate and undergraduate students in computing, engineering, medicine, education, and science fields.

Keywords

Table of contents (18 chapters)

  1. Front Matter

    Pages i-ix
    Download chapter PDF

  2. Introduction to Machine Learning and IoT

    • John Bush Idoko, Rahib Abiyev
    Pages 1-7

  3. Deep Convolutional Network for Food Image Identification

    • Rahib Abiyev, Joseph Adepoju
    Pages 9-20

  4. Face Mask Recognition System-Based Convolutional Neural Network

    • John Bush Idoko, Emirhan Simsek
    Pages 21-46

  5. Fuzzy Inference System Based-AI for Diagnosis of Esophageal Cancer

    • John Bush Idoko, Mohammed Jameel Sadeq
    Pages 47-58

  6. Skin Detection System Based Fuzzy Neural Networks for Skin Identification

    • Idoko John Bush, Rahib Abiyev
    Pages 59-74

  7. Machine Learning Based Cardless ATM Using Voice Recognition Techniques

    • John Bush Idoko, Mansur Mohammed, Abubakar Usman Mohammed
    Pages 75-84

  8. Automated Classification of Cardiac Arrhythmias

    • John Bush Idoko
    Pages 85-100

  9. A Fuzzy Logic Implemented Classification Indicator for the Diagnosis of Diabetes Mellitus in TRNC

    • Cemal KavalcıoÄŸlu
    Pages 101-114

  10. Implementation and Evaluation of a Mobile Smart School Management System—NEUKinderApp

    • John Bush Idoko
    Pages 115-129

  11. The Emerging Benefits of Gamification Techniques

    • John Bush Idoko
    Pages 131-139

  12. A Comprehensive Review of Virtual E-Learning System Challenges

    • John Bush Idoko, Joseph Palmer
    Pages 141-151

  13. A Semantic Portal to Improve Search on Rivers State’s Independent National Electoral Commission

    • John Bush Idoko, David Tumuni Ogolo
    Pages 153-177

  14. Implementation of Semantic Web Service and Integration of e-Government Based Linked Data

    • John Bush Idoko, Bashir Abdinur Ahmed
    Pages 179-208

  15. Application of Zero-Trust Networks in e-Health Internet of Things (IoT) Deployments

    • Morgan Morgak Gofwen, Bartholomew Idoko, John Bush Idoko
    Pages 209-233

  16. IoT Security Based Vulnerability Assessment of E-learning Systems

    • Bartholomew Idoko, John Bush Idoko
    Pages 235-243

  17. Blockchain Technology, Artificial Intelligence, and Big Data in Education

    • Ramiz Salama, Fadi Al-Turjman
    Pages 245-253

  18. Sustainable Education Systems with IOT Paradigms

    • Ramiz Salama, Fadi Al-Turjman
    Pages 255-267

  19. Post Covid Era-Smart Class Environment

    • Kamil Dimililer, Ezekiel Tijesunimi Ogidan, Oluwaseun Priscilla Olawale
    Pages 269-280
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Editors and Affiliations

  • Computer Engineering Department, Near East University, Lefkosa, Cyprus

    John Bush Idoko

  • Department of Computer Engineering, Near East University, Nicosia, Cyprus

    Rahib Abiyev

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