Sheng-Lung (Hrsg.) Peng
Computational Intelligence Techniques for Combating COVID-19
Ebook (PDF Format)
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 un…
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Beschreibung
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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Produktdetails
Weitere Autoren: Kautish, Sandeep (Hrsg.) / Obaid, Ahmed J. (Hrsg.)
- ISBN: 978-3-030-68936-0
- EAN: 9783030689360
- Produktnummer: 36410420
- Verlag: Springer
- Sprache: Englisch
- Erscheinungsjahr: 2021
- Plattform: PDF
- Masse: 15'635 KB
Über den Autor
140406453
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