Understanding COVID-19: The Role of Computational Intelligence

Podrobná bibliografie
Korporativní autor: SpringerLink (Online service)
Další autoři: Nayak, Janmenjoy (Editor), Naik, Bighnaraj (Editor), Abraham, Ajith (Editor)
Shrnutí:XV, 569 p. 234 illus., 173 illus. in color.
text
Jazyk:angličtina
Vydáno: Cham : Springer International Publishing : Imprint: Springer, 2022.
Vydání:1st ed. 2022.
Edice:Studies in Computational Intelligence, 963
Témata:
On-line přístup:https://doi.org/10.1007/978-3-030-74761-9
Médium: Elektronický zdroj Kniha
Obsah:
  • COVID-19 Pandemic: Theory, Concepts and Challenges
  • SARS-CoV-2 Infection and Antibody-Dependent Enhancement
  • Application of Deep Learning Techniques for COVID-19 Management
  • Geographic spread and control of 2019-nCoV in the absence of vaccine
  • An integrated GIS/GPS based e-Governance approach for different agencies to fight againstCOVID-19
  • Deep Learning for COVID-19. .