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Computational Intelligence Techniques for Combating COVID-19 (Hardcover, 1st ed. 2021) Loot Price: R3,662
Discovery Miles 36 620
Computational Intelligence Techniques for Combating COVID-19 (Hardcover, 1st ed. 2021): Sandeep Kautish, Sheng-Lung Peng, Ahmed...

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

Sandeep Kautish, Sheng-Lung Peng, Ahmed J. Obaid

Series: EAI/Springer Innovations in Communication and Computing

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Loot Price R3,662 Discovery Miles 36 620 | Repayment Terms: R343 pm x 12*

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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.

General

Imprint: Springer Nature Switzerland AG
Country of origin: Switzerland
Series: EAI/Springer Innovations in Communication and Computing
Release date: May 2021
First published: 2021
Editors: Sandeep Kautish • Sheng-Lung Peng • Ahmed J. Obaid
Dimensions: 235 x 155mm (L x W)
Format: Hardcover
Pages: 390
Edition: 1st ed. 2021
ISBN-13: 978-3-03-068935-3
Categories: Books > Medicine > General issues > Medical equipment & techniques > General
Books > Medicine > Nursing & ancillary services > Biomedical engineering > General
Books > Professional & Technical > Electronics & communications engineering > Communications engineering / telecommunications > General
Books > Medicine > Clinical & internal medicine > Diseases & disorders > Infectious & contagious diseases > General
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LSN: 3-03-068935-2
Barcode: 9783030689353

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