Artificial Intelligence for COVID-19

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192,59 

Studies in Systems, Decision and Control 358

ISBN: 3030697436
ISBN 13: 9783030697433
Herausgeber: Diego Oliva/Said Ali Hassan/Ali Mohamed
Verlag: Springer Verlag GmbH
Umfang: x, 594 S., 18 s/w Illustr., 250 farbige Illustr., 594 p. 268 illus., 250 illus. in color.
Erscheinungsdatum: 21.07.2021
Auflage: 1/2022
Produktform: Gebunden/Hardback
Einband: Gebunden

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.

Artikelnummer: 646505 Kategorie:

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Springer Verlag GmbH
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E-Mail: juergen.hartmann@springer.com

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