Cyber-Physical Systems

AI and COVID-19

278 Seiten, Taschenbuch

Kurzbeschreibung des Verlags

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.

• Reihe: Academic Press
• ISBN: 9780128245576
• Sprache: Englisch
• Erscheinungsdatum: 02.11.2021
• Größe: 229 x 152 mm
• Verlag: Elsevier Inc
• Herausgegeben von: Basant Agarwal, Ramesh Poonia, Sandeep Kumar