Cyber-Physical Systems : AI and COVID-19 Paperback / softback
Edited by Ramesh Chandra (Associate Professor<br>Department of Computer Science,CHRIST (Deemed to be U Poonia, Basant (Assistant Professor at the Indian Institute of Information Technology Kota (IIIT-Ko Agarwal, Sandeep (Associate Professor, Department of Computer Science and Engineering, CHRIST (Deemed Kumar, Mohammad S. (Assistant Professor of Computing, East Tennessee State University and Director, N Khan, Goncalo (Polytechnic of Coimbra, ESTGOH, Rua General Santos Costa, 3400-124 Oliveira do Hos Marques, Janmenjoy (Department of Computer Science, Maharaja Sriram Chandra Bhanja Deo (MSCBD) Univers Nayak
Paperback / softback
Description
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.
Information
-
Out of stock
- Format:Paperback / softback
- Pages:278 pages
- Publisher:Elsevier Science Publishing Co Inc
- Publication Date:02/11/2021
- Category:
- ISBN:9780128245576
Information
-
Out of stock
- Format:Paperback / softback
- Pages:278 pages
- Publisher:Elsevier Science Publishing Co Inc
- Publication Date:02/11/2021
- Category:
- ISBN:9780128245576