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Cyber-Physical Systems: AI and COVID-19 - Panter - 19.02.2023
![[Bild: uwp1go6ektlhh4chvzjqtvkd5h.jpg]](https://abload.de/img/uwp1go6ektlhh4chvzjqtvkd5h.jpg)
Cyber-Physical Systems: AI and COVID-19
by Ramesh Poonia (Editor), Basant Agarwal (Editor), Sandeep Kumar (Editor), Mohammad Khan (Editor), Goncalo Marques (Editor), Janmenjoy Nayak (Editor)
English | 2022 | ISBN: 0128245573 | 271 pages | PDF | 15.52 MB
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.