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Cyber-Physical Systems
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Cyber-Physical Systems : AI and COVID-19

Book Details

Format Paperback / Softback
ISBN-10 0128245573
ISBN-13 9780128245576
Publisher Elsevier Science Publishing Co Inc
Imprint Academic Press Inc
Country of Manufacture NL
Country of Publication GB
Publication Date Nov 2nd, 2021
Print length 278 Pages
Weight 522 grams
Dimensions 22.90 x 15.30 x 1.70 cms
Product Classification: Infectious & contagious diseases Robotics Machine learning
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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.

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