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Big Data Analytics and Artificial Intelligence Against COVID-19: Innovation Vision and Approach (Hardcover, 1st ed. 2020) Loot Price: R2,911

Discovery Miles 29 110

Repayment Terms: R273 pm x 12*

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Big Data Analytics and Artificial Intelligence Against COVID-19: Innovation Vision and Approach (Hardcover, 1st ed. 2020):...

Big Data Analytics and Artificial Intelligence Against COVID-19: Innovation Vision and Approach (Hardcover, 1st ed. 2020)

Aboul Ella Hassanien, Nilanjan Dey, Sally Elghamrawy

Series: Studies in Big Data, 78

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Loot Price R2,911 Discovery Miles 29 110 | Repayment Terms: R273 pm x 12*

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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.

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Series:	Studies in Big Data, 78
Release date:	October 2020
First published:	2020
Editors:	Aboul Ella Hassanien • Nilanjan Dey • Sally Elghamrawy
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	307
Edition:	1st ed. 2020
ISBN-13:	978-3-03-055257-2
Categories:	Books > Medicine > General issues > Public health & preventive medicine > Epidemiology & medical statistics Books > Medicine > Nursing & ancillary services > Biomedical engineering > General Books > Computing & IT > Applications of computing > Databases > General Books > Computing & IT > Applications of computing > Artificial intelligence > General Promotions
LSN:	3-03-055257-8
Barcode:	9783030552572