Computational Intelligence Techniques for Combating COVID-19
Author | : Sandeep Kautish |
Publisher | : Springer Nature |
Total Pages | : 392 |
Release | : 2021-05-03 |
ISBN-10 | : 9783030689360 |
ISBN-13 | : 3030689360 |
Rating | : 4/5 (60 Downloads) |
Download or read book Computational Intelligence Techniques for Combating COVID-19 written by Sandeep Kautish and published by Springer Nature. This book was released on 2021-05-03 with total page 392 pages. Available in PDF, EPUB and Kindle. 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.