Fadi Al-Turjman

AI-Powered IoT for COVID-19 (eBook, ePUB)

• Format: ePub

Produktbeschreibung

This book is dedicated to addressing the major challenges in fighting COVID-19 using AI and IoT technologies.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 212
• Erscheinungstermin: 10. Dezember 2020
• Englisch
• ISBN-13: 9781000298048
• Artikelnr.: 60538422

Autorenporträt

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).

Inhaltsangabe

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.