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Cyber-Physical Systems

AI and COVID-19

  • 1st Edition - October 30, 2021
  • Editors: Ramesh Chandra Poonia, Basant Agarwal, Sandeep Kumar, Mohammad S. Khan, Goncalo Marques, Janmenjoy Nayak
  • Language: English
  • Paperback ISBN:
    9 7 8 - 0 - 1 2 - 8 2 4 5 5 7 - 6
  • eBook ISBN:
    9 7 8 - 0 - 3 2 3 - 8 5 3 5 7 - 6

Cyber-Physical Systems: AI and COVID-19 highlights original research which addresses current data challenges in terms of the development of mathematical models, cyber-phy… Read more

Cyber-Physical Systems

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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.