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 artificial intelligence (AI) and
machine learning (ML), techniques for data analysis, this book will
be helpful to mitigate exposure and ensure public health. We know
prevention is better than cure, so by using several ML techniques,
researchers can try to predict the disease in its early stage and
develop more effective medications and treatments. Computational
technologies in areas like AI, ML, Internet of Things (IoT), and
drone technologies underlie a range of applications that can be
developed and utilized for this purpose. Because in most cases
there is no one solution to stop the spreading of pandemic
diseases, and the integration of several tools and tactics are
needed. Many successful applications of AI, ML, IoT, and drone
technologies already exist, including systems that analyze past
data to predict and conclude some useful information for
controlling the spread of COVID-19 infections using minimum
resources. The AI and ML approach can be helpful to design
different models to give a predictive solution for mitigating
infection and preventing larger outbreaks. This book: Examines the
use of artificial intelligence (AI), machine learning (ML),
Internet of Things (IoT), and drone technologies as a helpful
predictive solution for controlling infection of COVID-19 Covers
recent research related to the COVID-19 pandemic and includes the
analysis, implementation, usage, and proposed ideas and models with
architecture to handle a pandemic outbreak Examines the
performance, implementation, architecture, and techniques of
different analytical and statistical models related to COVID-19
Includes different case studies on COVID-19 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 of the Department
of Computer Science at Rama Devi Women’s University, Bhubaneswar,
India. Dr. Mamata Rath is Assistant Professor in the 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.
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