Description
| Product ID: | 9783110767667 |
| Product Form: | Hardback |
| Country of Manufacture: | GB |
| Series: | Intelligent Biomedical Data Analysis |
| Title: | Computer Intelligence Against Pandemics |
| Subtitle: | Tools and Methods to Face New Strains of COVID-19 |
| Authors: | Author: Jyoti Sekhar Banerjee, Siddhartha Bhattacharyya, Sergey Gorbachev, Mario Koeppen, Khan Muhammad |
| Page Count: | 375 |
| Subjects: | Public health and preventive medicine, Public health & preventive medicine, Algorithms and data structures, Artificial intelligence, Algorithms & data structures, Artificial intelligence |
| Description: | Select Guide Rating 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. |
| Imprint Name: | De Gruyter |
| Publisher Name: | De Gruyter |
| Country of Publication: | GB |
| Publishing Date: | 2023-08-07 |
