Cyber-Physical Systems - AI and COVID-19 (Paperback)

Cyber-Physical Systems: AI and COVID-19 highlights original research which addresses current data challenges in terms of the development of mathematical models, cyber-physical systems-based tools and techniques, and the design and development of algorithmic solutions, etc. It reviews the technical concepts of gathering, processing and analyzing data from cyber-physical systems (CPS) and reviews tools and techniques that can be used. This book will act as a resource to guide COVID researchers as they move forward with clinical and epidemiological studies on this outbreak, including the technical concepts of gathering, processing and analyzing data from cyber-physical systems (CPS). The major problem in the identification of COVID-19 is detection and diagnosis due to non-availability of medicine. In this situation, only one method, Reverse Transcription Polymerase Chain Reaction (RT-PCR) has been widely adopted and used for diagnosis. With the evolution of COVID-19, the global research community has implemented many machine learning and deep learning-based approaches with incremental datasets. However, finding more accurate identification and prediction methods are crucial at this juncture.

General

Imprint:	Academic Press Inc
Country of origin:	United States
Release date:	November 2021
First published:	2022
Editors:	Ramesh Poonia • Basant Agarwal • Sandeep Kumar • Mohammad Khan • Goncalo Marques • Janmenjoy Nayak
Dimensions:	229 x 152 x 17mm (L x W x T)
Format:	Paperback
Pages:	278
ISBN-13:	978-0-12-824557-6
Categories:	Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning Books > Medicine > Clinical & internal medicine > Diseases & disorders > Infectious & contagious diseases > General Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Automatic control engineering > Robotics
LSN:	0-12-824557-3
Barcode:	9780128245576

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