Computational Intelligence Techniques for Combating COVID-19

Download or Read eBook Computational Intelligence Techniques for Combating COVID-19 PDF written by Sandeep Kautish and published by Springer Nature. This book was released on 2021 with total page 392 pages. Available in PDF, EPUB and Kindle.
Computational Intelligence Techniques for Combating COVID-19
Author :
Publisher : Springer Nature
Total Pages : 392
Release :
ISBN-10 : 9783030689360
ISBN-13 : 3030689360
Rating : 4/5 (60 Downloads)

Book Synopsis Computational Intelligence Techniques for Combating COVID-19 by : Sandeep Kautish

Book excerpt: This book presents the latest cutting edge research, theoretical methods, and novel applications in the field of computational intelligence and computational biological approaches that are aiming to combat COVID-19. The book gives the technological key drivers behind using AI to find drugs that target the virus, shedding light on the structure of COVID-19, detecting the outbreak and spread of new diseases, spotting signs of a COVID-19 infection in medical images, monitoring how the virus and lockdown is affecting mental health, and forecasting how COVID-19 cases and deaths will spread across cities and why. Further, the book helps readers understand computational intelligence techniques combating COVID-19 in a simple and systematic way. Provides a comprehensive reference covering innovations and development of theories, conceptual models and computational algorithms focused on COVID-19; Asserts all relevant research, key themes, complex adaptive systems, metrics and paradigms dedicated towards COVID-19, enabled with evolutionary methods of computational sciences; Explores how AI and computational techniques can help to predict which patients with the virus would go on to develop Acute Respiratory Distress Syndrome (ARDS).


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