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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Yes, you can access Cyber-Physical Systems by Ramesh Chandra Poonia,Basant Agarwal,Sandeep Kumar,Mohammad S. Khan,Goncalo Marques,Janmenjoy Nayak in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Robotics. We have over one million books available in our catalogue for you to explore.

Information

Publisher

Academic Press

Year

2021

ISBN

9780323853576

Topic

Technology & Engineering

Subtopic

Robotics

Index

Technology & Engineering

Cover image
Title page
Table of Contents
Copyright
List of contributors
Chapter 1. AI-based implementation of decisive technology for prevention and fight with COVID-19
Chapter 2. Internet of Things-based smart helmet to detect possible COVID-19 infections
Chapter 3. Role of mobile health in the situation of COVID-19 pandemics: pros and cons
Chapter 4. Combating COVID-19 using object detection techniques for next-generation autonomous systems
Chapter 5. Non-contact measurement system for COVID-19 vital signs to aid mass screening—An alternate approach
Chapter 6. Evolving uncertainty in healthcare service interactions during COVID-19: Artificial Intelligence - a threat or support to value cocreation?
Chapter 7. The COVID-19 outbreak: social media sentiment analysis of public reactions with a multidimensional perspective
Chapter 8. A new approach to predict COVID-19 using artificial neural networks
Chapter 9. Rapid medical guideline systems for COVID-19 using database-centric modeling and validation of cyber-physical systems
Chapter 10. Machine learning and security in Cyber Physical Systems
Chapter 11. Impact analysis of COVID-19 news headlines on global economy
Chapter 12. Impact of COVID-19: a particular focus on Indian education system
Chapter 13. Designing of Latent Dirichlet Allocation Based Prediction Model to Detect Midlife Crisis of Losing Jobs due to Prolonged Lockdown for COVID-19
Chapter 14. Autonomous robotic system for ultraviolet disinfection
Chapter 15. Emerging health start-ups for economic feasibility: opportunities during COVID-19
Index