Cyber-Physical Systems: AI and COVID-19

AI and COVID-19 emphasizes the development of mathematical models, cyber-physical systems-based tools, and algorithmic solutions to address current data challenges in COVID-19 research. It reviews the technical concepts of gathering, processing, and analyzing data from cyber-physical systems and provides a resource for COVID researchers to advance their studies. The major challenge in identifying COVID-19 is detection and diagnosis, and the book highlights the importance of finding more accurate identification and prediction methods.

Format: Paperback / softback
Length: 278 pages
Publication date: 02 November 2021
Publisher: Elsevier Science Publishing Co Inc

Cyber-Physical Systems: AI and COVID-19 presents original research that addresses the current challenges in developing mathematical models, cyber-physical systems-based tools and techniques, and designing algorithmic solutions. It provides a comprehensive review of the technical concepts involved in gathering, processing, and analyzing data from cyber-physical systems (CPS). The book serves as a valuable resource for COVID researchers, guiding them in their clinical and epidemiological studies on the outbreak, particularly in the area of gathering, processing, and analyzing data from CPS.

The identification of COVID-19 poses a significant challenge due to the lack of available medicine. In such a situation, the Reverse Transcription Polymerase Chain Reaction (RT-PCR) method has become widely adopted and utilized for diagnosis. However, as the pandemic evolves, there is a pressing need for more accurate identification and prediction methods.

The global research community has responded to this challenge by implementing various machine learning and deep learning-based approaches, utilizing incremental datasets. While these efforts have demonstrated progress, there is still a gap in achieving more precise identification and prediction capabilities.

In conclusion, Cyber-Physical Systems: AI and COVID-19 highlights the importance of innovative research in addressing the challenges posed by COVID-19. The book provides valuable insights into developing mathematical models, cyber-physical systems-based tools, and algorithmic solutions for accurate identification and prediction of COVID-19. As researchers continue to work tirelessly to combat the pandemic, this resource will play a crucial role in advancing our understanding and response to the crisis.

Weight: 522g
Dimension: 229 x 153 x 17 (mm)
ISBN-13: 9780128245576