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Cyber-Physical Systems: Ai and Covid-19
Basant Agarwal
(Illustrated by)
·
Sandeep Kumar
(Illustrated by)
·
Ramesh Chandra Poonia
(Illustrated by)
·
Academic Press
· Paperback
Cyber-Physical Systems: Ai and Covid-19 - Poonia, Ramesh Chandra ; Agarwal, Basant ; Kumar, Sandeep
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Synopsis "Cyber-Physical Systems: Ai and Covid-19"
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.
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All books in our catalog are Original.
The book is written in English.
The binding of this edition is Paperback.
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