Big Data Analytics and Artificial Intelligence Against COVID-19: Innovation Vision and Approach: 78 (Studies in Big Data, 78) - Softcover

Book 76 of 108: Studies in Big Data
 
9783030552602: Big Data Analytics and Artificial Intelligence Against COVID-19: Innovation Vision and Approach: 78 (Studies in Big Data, 78)

Synopsis

This book includes research articles and expository papers on the applications of artificial intelligence and big data analytics to battle the pandemic. In the context of COVID-19, this book focuses on how big data analytic and artificial intelligence help fight COVID-19. The book is divided into four parts. The first part discusses the forecasting and visualization of the COVID-19 data. The second part describes applications of artificial intelligence in the COVID-19 diagnosis of chest X-Ray imaging. The third part discusses the insights of artificial intelligence to stop spread of COVID-19, while the last part presents deep learning and big data analytics which help fight the COVID-19. 

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From the Back Cover

This book includes research articles and expository papers on the applications of artificial intelligence and big data analytics to battle the pandemic. In the context of COVID-19, this book focuses on how big data analytic and artificial intelligence help fight COVID-19. The book is divided into four parts. The first part discusses the forecasting and visualization of the COVID-19 data. The second part describes applications of artificial intelligence in the COVID-19 diagnosis of chest X-Ray imaging. The third part discusses the insights of artificial intelligence to stop spread of COVID-19, while the last part presents deep learning and big data analytics which help fight the COVID-19. 

"About this title" may belong to another edition of this title.

Other Popular Editions of the Same Title

9783030552572: Big Data Analytics and Artificial Intelligence Against COVID-19: Innovation Vision and Approach: 78 (Studies in Big Data, 78)

Featured Edition

ISBN 10:  3030552578 ISBN 13:  9783030552572
Publisher: Springer, 2020
Hardcover