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Computational Intelligence Techniques for Combating COVID-19 (Hardcover, 1st ed. 2021)

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.
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Product Description

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.

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Product Details

General

Imprint

Springer Nature Switzerland AG

Country of origin

Switzerland

Series

EAI/Springer Innovations in Communication and Computing

Release date

May 2021

Availability

Expected to ship within 18 - 22 working days

First published

2021

Editors

, ,

Dimensions

235 x 155mm (L x W)

Format

Hardcover

Pages

390

Edition

1st ed. 2021

ISBN-13

978-3-03-068935-3

Barcode

9783030689353

Categories

LSN

3-03-068935-2

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