Artificial Intelligence for COVID-19

Ali Mohamed editor Diego Oliva editor Said Ali Hassan editor

Format:Paperback

Publisher:Springer Nature Switzerland AG

Published:22nd Jul '22

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Artificial Intelligence for COVID-19 cover

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. 

ISBN: 9783030697464

Dimensions: unknown

Weight: 914g

594 pages

1st ed. 2021