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
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.