Artificial Intelligence for COVID-19 (Paperback, 1st ed. 2021)

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.

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Series:	Studies in Systems, Decision and Control, 358
Release date:	July 2022
First published:	2021
Editors:	Diego Oliva • Said Ali Hassan • Ali Mohamed
Dimensions:	235 x 155mm (L x W)
Format:	Paperback
Pages:	594
Edition:	1st ed. 2021
ISBN-13:	978-3-03-069746-4
Categories:	Books > Computing & IT > Social & legal aspects of computing > Health & safety aspects of computing Books > Medicine > Nursing & ancillary services > Biomedical engineering > General Books > Computing & IT > Applications of computing > Databases > General Books > Computing & IT > Applications of computing > Artificial intelligence > General Promotions
LSN:	3-03-069746-0
Barcode:	9783030697464

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