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OverviewThis 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. Full Product DetailsAuthor: Aboul-Ella Hassanien , Nilanjan Dey , Sally ElghamrawyPublisher: Springer Nature Switzerland AG Imprint: Springer Nature Switzerland AG Edition: 2020 ed. Volume: 78 Weight: 0.647kg ISBN: 9783030552572ISBN 10: 3030552578 Pages: 307 Publication Date: 13 October 2020 Audience: Professional and scholarly , Professional & Vocational Format: Hardback Publisher's Status: Active Availability: Manufactured on demand ![]() We will order this item for you from a manufactured on demand supplier. Table of ContentsReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |