Artificial Intelligence for COVID-19 /

This book presents a compilation of the most recent implementation of artificial intelligence methods for solving different problems generated by the COVID-19. The problems addressed came from different fields and not only from medicine. The information contained in the book explores different areas...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Oliva, Diego (Editor), Hassan, Said Ali (Editor), Mohamed, Ali (Editor)
Format: eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2021.
Edition:1st ed. 2021.
Series:Studies in Systems, Decision and Control, 358
Subjects:
Online Access:Connect to the full text of this electronic book
Description
Summary:This book presents a compilation of the most recent implementation of artificial intelligence methods for solving different problems generated by the COVID-19. The problems addressed came from different fields and not only from medicine. The information contained in the book explores different areas of machine and deep learning, advanced image processing, computational intelligence, IoT, robotics and automation, optimization, mathematical modeling, neural networks, information technology, big data, data processing, data mining, and likewise. Moreover, the chapters include the theory and methodologies used to provide an overview of applying these tools to the useful contribution to help to face the emerging disaster. The book is primarily intended for researchers, decision makers, practitioners, and readers interested in these subject matters. The book is useful also as rich case studies and project proposals for postgraduate courses in those specializations. .
Physical Description:1 online resource (X, 594 pages 268 illustrations, 250 illustrations in color.)
ISBN:9783030697440
ISSN:2198-4190 ;
DOI:10.1007/978-3-030-69744-0