This book covers recent research on the COVID-19 pandemic. It includes the analysis, implementation, usage and proposed ideas and models with architecture to handle the COVID-19 outbreak. Using advanced technologies such as AI and ML techniques for data analysis, this book will be helpful to mitigate exposure and ensure public health.
This book covers recent research on the COVID-19 pandemic. It includes the analysis, implementation, usage and proposed ideas and models with architecture to handle the COVID-19 outbreak. Using advanced technologies such as AI and ML techniques for data analysis, this book will be helpful to mitigate exposure and ensure public health.
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.
Inhaltsangabe
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
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
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