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.
Sprache
Verlagsort
Verlagsgruppe
Zielgruppe
Für höhere Schule und Studium
Für Beruf und Forschung
Illustrationen
20 s/w Abbildungen, 1 s/w Tabelle, 50 farbige Tabellen
50 Tables, color; 1 Tables, black and white; 20 Illustrations, black and white
Maße
Höhe: 240 mm
Breite: 161 mm
Dicke: 16 mm
Gewicht
ISBN-13
978-0-367-56674-6 (9780367566746)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Klassifikation
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).
Autor*in
Near East Uni., Nicosia
Preface. About the Author. List of Contributors. Chapter 1 Cloud Computing and Business Intelligence in IoT-Enabled Smart and Healthy Cities. Chapter 2 Resource Allocation in Volunteered Cloud Computing and Battling COVID-19. Chapter 3 Analyzing Radiographs for COVID-19 Using Artificial Intelligence. Chapter 4 IoT-Based Micro-Expression Recognition for Nervousness Detection in COVID-Like Condition. Chapter 5 Genetically Optimized Computer-Aided Diagnosis for Detection and Classification of COVID-19. Chapter 6 Micro-Expression Recognition Using 3D-CNN Layering. Chapter 7 Applications of AI, IoT, IoMT, and Biosensing Devices in Curbing COVID-19. Chapter 8 How Artificial Intelligence and IoT Aid in Fighting COVID-19. Chapter 9 Physical Therapy Recommendations for Patients with COVID-19. Chapter 10 AI in Fighting against COVID-19: A Case Study. Index.
