Overview
- Presents recent research on Decision Sciences for COVID-19
- Provides Decision sciences techniques which use a number of mathematical techniques to solve problems in COVID-19 applications
- Written by experts in the field
Part of the book series: Studies in Systems, Decision and Control (SSDC, volume 358)
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Table of contents(32 chapters)
About this book
Editors and Affiliations
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Department of Computer Sciences, University of Guadalajara, Guadalajara, Mexico
Diego Oliva
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Operations Research and Decision Support Department, Faculty of Computers and Artificial Intelligence, Cairo University, Giza, Egypt
Said Ali Hassan
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Operations Research Department, Faculty of Graduate Studies for Statistical Research, Cairo University, Giza, Egypt
Ali Mohamed
Bibliographic Information
Book Title: Artificial Intelligence for COVID-19
Editors: Diego Oliva, Said Ali Hassan, Ali Mohamed
Series Title: Studies in Systems, Decision and Control
DOI: https://doi.org/10.1007/978-3-030-69744-0
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021
Hardcover ISBN: 978-3-030-69743-3Published: 21 July 2021
Softcover ISBN: 978-3-030-69746-4Published: 22 July 2022
eBook ISBN: 978-3-030-69744-0Published: 19 July 2021
Series ISSN: 2198-4182
Series E-ISSN: 2198-4190
Edition Number: 1
Number of Pages: X, 594
Number of Illustrations: 18 b/w illustrations, 250 illustrations in colour
Topics: Computational Intelligence, Biomedical Engineering and Bioengineering, Health Informatics, Data Engineering