Table of Contents

Chapter 1 Machine Learning Implementations in COVID-19 Chapter 2 Analysis of COVID-19 Data Using Consensus Clustering Technique Chapter 3 MoBMGAN: Modified GAN-Based Transfer Learning for Automatic Detection of COVID-19 Cases Using Chest X-ray Images Chapter 4 Application and Progress of Drone Technology in the COVID-19 Pandemic: A Comprehensive Review Chapter 5 Smart War on COVID-19 and Global Pandemics: Integrated AI and Blockchain Ecosystem Chapter 6 Machine Learning-Based Text Mining in Social Media for COVID-19 Chapter 7 Containing the Spread of COVID-19 with IoT: A Visual Tracing Approach Chapter 8 Crowd-Sourced Centralized Thermal Imaging for Isolation and Quarantine Chapter 9 Blockchain Technology for Limiting the Impact of Pandemic: Challenges and Prospects Chapter 10 A Study on Mathematical and Computational Models in the Context of COVID-19 Chapter 11 A Detailed Study on AI-Based Diagnosis of Novel Coronavirus from Radiograph Images Chapter 12 Data Analytics for COVID-19

About the Author

Dr. Chhabi Rani Panigrahi is Assistant Professor in the Department of Computer Science at Rama Devi Women's University, Bhubaneswar, India.

Dr. Bibudhendu Pati is Associate Professor and Head in the Department of Computer Science at Rama Devi Women's University, Bhubaneswar, India.

Dr. Mamata Rath is Assistant Professor in School of Management (Information Technology) at Birla Global University, Bhubaneswar, India.

Prof. Rajkumar Buyya is a Redmond Barry Distinguished Professor and Director of the Cloud Computing and Distributed Systems (CLOUDS) Laboratory at the University of Melbourne, Australia.