Artificial Intelligence for COVID-19 (1st ed. 2021) (Studies in Systems, Decision and Control #358)
By: and and
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- Synopsis
- 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.
- Copyright:
- 2021
Book Details
- Book Quality:
- Publisher Quality
- ISBN-13:
- 9783030697440
- Related ISBNs:
- 9783030697433
- Publisher:
- Springer International Publishing
- Date of Addition:
- 08/19/21
- Copyrighted By:
- The Editor
- Adult content:
- No
- Language:
- English
- Has Image Descriptions:
- No
- Categories:
- Nonfiction, Science, Computers and Internet, Technology, Medicine
- Submitted By:
- Bookshare Staff
- Usage Restrictions:
- This is a copyrighted book.
- Edited by:
- Diego Oliva
- Edited by:
- Said Ali Hassan
- Edited by:
- Ali Mohamed
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- by Diego Oliva
- by Said Ali Hassan
- by Ali Mohamed
- in Nonfiction
- in Science
- in Computers and Internet
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- in Medicine