1st Edition

AI-Powered IoT for COVID-19



  • Available for pre-order. Item will ship after December 17, 2020
ISBN 9780367566746
December 17, 2020 Forthcoming by CRC Press
200 Pages 20 B/W Illustrations

USD $95.00

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Book Description

The Internet of Things (IoT) enabled spaces has made revolutionary advances in the utility grid that we know so far. Among these advances, intelligent and medical services are gaining lots of interest. The use of the Artificial Intelligence (AI) is increasing day after a day around us 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 alike applications. The integrated AI and IoT paradigm is widely used in most of the medical applications as well as the sectors which deals with transacting data every day. This book can be used by Computer Science Undergraduate & Postgraduate Students, Researchers and Practitioners, city administrators, policy makers and government regulators. It presents the smart and up to date model for COVID-19 and alike applications. Novel architectural and medical use cases in the smart city project are the core aspects of this book. The wide variety in topics, it presents offers readers with multiple perspectives on a variety of disciplines.

 

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

Table of Contents

Ch1: Cloud Computing and Business Intelligence in IoT-Enabled Smart & Healthy Cities

Ch2: Resource Allocation in Volunteered Cloud Computing & Covid-19 Battling

Ch3: Analyzing Radiographs Using Artificial Intelligence for Covid-19 Existence

Ch4: IoT Based Micro-Expression Recognition for Nervousness Detection in Covid Like Condition

Ch5: Genetically Optimized Computer Aided Diagnosis for Detection and Classification of Covid-19

Ch6: Micro-Expression Recognition using 3D-CNN Layering

Ch7: Applications of AI, IoT, IoMT And Biosensing Devices in Curbing Covid-19

Ch8: How Artificial Intelligence and IoT Aid in Fighting Covid-19

Ch9: Physical Therapy Recommendations for Patients with Covid-19

Ch10: AI in Fighting Against Covid-19: A Case Study

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Author(s)

Biography

Prof. Dr. Fadi Al-Turjman received his Ph.D. in computer science from Queen’s University, Kingston, Ontario, Canada, in 2011. He is a full professor and a research center director at Near East University, Nicosia, Cyprus. Prof. Al-Turjman is a leading authority in the areas of smart/intelligent, wireless, and mobile networks’ architectures, protocols, deployments, and performance evaluation. His publication history spans over 250 publications in journals, conferences, patents, books, and book chapters, in addition to numerous keynotes and plenary talks at flagship venues. He has authored and edited more than 25 books about cognition, security, and wireless sensor networks’ deployments in smart environments, published by Taylor and Francis, Elsevier, and Springer. He has received several recognitions and best papers’ awards at top international conferences. He also received the prestigious Best Research Paper Award from Elsevier Computer Communications Journal for the period 2015-2018, in addition to the Top Researcher Award for 2018 at Antalya Bilim University, Turkey. Prof. Al-Turjman has led a number of international symposia and workshops in flagship communication society conferences. Currently, he serves as an associate editor and the lead guest/associate editor for several well reputed journals, including the IEEE Communications Surveys and Tutorials (IF 22.9) and the Elsevier Sustainable Cities and Society (IF 4.7).