Understanding COVID-19: The Role of Computational Intelligence
| Corporate Author: | |
|---|---|
| Other Authors: | , , |
| Summary: | XV, 569 p. 234 illus., 173 illus. in color. text |
| Language: | English |
| Published: |
Cham :
Springer International Publishing : Imprint: Springer,
2022.
|
| Edition: | 1st ed. 2022. |
| Series: | Studies in Computational Intelligence,
963 |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/978-3-030-74761-9 |
| Format: | Electronic Book |
Table of Contents:
- 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. .