Big Data Analytics and Artificial Intelligence Against COVID-19: Innovation Vision and Approach
Nilanjan Dey (Hrsg.), Sally Elghamrawy (Hrsg.), Aboul-Ella Hassanien (Hrsg.)
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Springer International Publishing
Naturwissenschaften, Medizin, Informatik, Technik / Allgemeines, Lexika
Beschreibung
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.
Kundenbewertungen
COVID-19, Data Engineering, Artificial Intelligence, Big Data Analytics, Data Mining, Big Data