Cyber-Physical Systems (eBook, ePUB)

AI and COVID-19
Redaktion: Poonia, Ramesh Chandra; Nayak, Janmenjoy; Marques, Goncalo; Khan, Mohammad S.; Kumar, Sandeep; Agarwal, Basant

• Format: ePub

Produktbeschreibung

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.

• Offers perspectives on the design, development and commissioning of intelligent applications
• Provides reviews on the latest intelligent technologies and algorithms related to the state-of-the-art methodologies of monitoring and mitigation of COVID-19
• Puts forth insights on how future illnesses can be supported using intelligent corona virus monitoring techniques

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Produktdetails

• Verlag: Elsevier Science & Techn.
• Seitenzahl: 278
• Erscheinungstermin: 30. Oktober 2021
• Englisch
• ISBN-13: 9780323853576
• Artikelnr.: 62857847