Big data analytics and artificial intelligence against COVID-19 : innovation vision and approach / Aboul-Ella Hassanien, Nilanjan Dey, Sally Elghamrawy, editors.

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 fo...

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Bibliographic Details
Other Authors: Hassanien, Aboul Ella (Editor), Dey, Nilanjan, 1984- (Editor), Elghamrawy, Sally (Editor)
Format: eBook
Language:English
Published: Cham : Springer, 2020.
Series:Studies in big data ; v. 78.
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Online Access:Click for online access
Description
Summary: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.
Physical Description:1 online resource (xi, 307 pages) : illustrations (some color)
Bibliography:Includes bibliographical references.
ISBN:9783030552589
3030552586
3030552578
9783030552572
ISSN:2197-6503 ;