Computer Intelligence Against Pandemics: Tools And Methods To Face New Strains Of Covid-19 (Issn, 9)
Walter de Gruyter
ISBN13:
9783110767667
$214.92
This book introduces the most recent research and innovative developments regarding the new strains of COVID-19. While medical and natural sciences have been working instantly on deriving solutions and trying to protect humankind against such virus types, there is also a great focus on technological developments for improving the mechanism - momentum of science for effective and efficient solutions. At this point, computational intelligence is the most powerful tools for researchers to fight against COVID-19. Thanks to instant data-analyze and predictive techniques by computational intelligence, it is possible to get positive results and introduce revolutionary solutions against related medical diseases. By running capabilities - resources for rising the computational intelligence, technological fields like Artificial Intelligence (with Machine / Deep Learning), Data Mining, Applied Mathematics are essential components for processing data, recognizing patterns, modelling new techniques and improving the advantages of the computational intelligence more. Nowadays, there is a great interest in the application potentials of computational intelligence to be an effective approach for taking humankind more step away, after COVID-19 and before pandemics similar to the COVID-19 many appear.
- | Author: Siddhartha Bhattacharyya, Jyoti Sekhar Banerjee, Sergey Gorbachev, Khan Muhammad, Mario Koeppen
- | Publisher: Walter De Gruyter
- | Publication Date: Jul 24, 2023
- | Number of Pages: 264 pages
- | Language: English
- | Binding: Hardcover
- | ISBN-10: 311076766X
- | ISBN-13: 9783110767667
- Author:
- Siddhartha Bhattacharyya, Jyoti Sekhar Banerjee, Sergey Gorbachev, Khan Muhammad, Mario Koeppen
- Publisher:
- Walter De Gruyter
- Publication Date:
- Jul 24, 2023
- Number of pages:
- 264 pages
- Language:
- English
- Binding:
- Hardcover
- ISBN-10:
- 311076766X
- ISBN-13:
- 9783110767667