AI-Powered IoT for COVID-19
eBook - ePub

AI-Powered IoT for COVID-19

  1. 198 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

AI-Powered IoT for COVID-19

About this book

The Internet of Things (IoT) has made revolutionary advances in the utility grid as we know it. Among these advances, intelligent medical services are gaining much interest. The use of Artificial Intelligence (AI) is increasing day after day in fighting one of the most significant viruses, COVID-19.

The purpose of this book is to present the detailed recent exploration of AI and IoT in the COVID-19 pandemic and similar applications. The integrated AI and IoT paradigm is widely used in most medical applications, as well as in sectors that deal with transacting data every day. This book can be used by computer science undergraduate and postgraduate students; researchers and practitioners; and city administrators, policy makers, and government regulators. It presents a smart and up-to-date model for COVID-19 and similar applications. Novel architectural and medical use cases in the smart city project are the core aspects of this book. The wide variety of topics it presents offers readers multiple perspectives on a variety of disciplines.

Prof. Dr. Fadi Al-Turjman received his PhD in computer science from Queen's University, Kingston, Ontario, Canada, in 2011. He is a full professor and research center director at Near East University, Nicosia, Cyprus.

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Yes, you can access AI-Powered IoT for COVID-19 by Fadi Al-Turjman in PDF and/or ePUB format, as well as other popular books in Computer Science & Artificial Intelligence (AI) & Semantics. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Half-Title
  3. Title
  4. Copyright
  5. Dedication
  6. Contents
  7. Preface
  8. About the Author
  9. List of Contributors
  10. Chapter 1 Cloud Computing and Business Intelligence in IoT-Enabled Smart and Healthy Cities
  11. Chapter 2 Resource Allocation in Volunteered Cloud Computing and Battling COVID-19
  12. Chapter 3 Analyzing Radiographs for COVID-19 Using Artificial Intelligence
  13. Chapter 4 IoT-Based Micro-Expression Recognition for Nervousness Detection in COVID-Like Condition
  14. Chapter 5 Genetically Optimized Computer-Aided Diagnosis for Detection and Classification of COVID-19
  15. Chapter 6 Micro-Expression Recognition Using 3D-CNN Layering
  16. Chapter 7 Applications of AI, IoT, IoMT, and Biosensing Devices in Curbing COVID-19
  17. Chapter 8 How Artificial Intelligence and IoT Aid in Fighting COVID-19
  18. Chapter 9 Physical Therapy Recommendations for Patients with COVID-19
  19. Chapter 10 AI in Fighting against COVID-19: A Case Study
  20. Index