Computer Intelligence Against Pandemics: Tools and Methods to Face New Strains of COVID-19 - Intelligent Biomedical Data Analysis - Jyoti Sekhar Banerjee-Siddhartha Bhattacharyya-Ser - Books - De Gruyter - 9783110767667 - August 7, 2023
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Computer Intelligence Against Pandemics: Tools and Methods to Face New Strains of COVID-19 - Intelligent Biomedical Data Analysis

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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.


384 pages, 12 Illustrations, black and white; 40 Tables, black and white; 147 Illustrations, color

Media Books     Hardcover Book   (Book with hard spine and cover)
Released August 7, 2023
ISBN13 9783110767667
Publishers De Gruyter
Pages 375
Dimensions 246 × 176 × 27 mm   ·   884 g
Language German  
Editor Bhattacharyya, Siddhartha
Editor Gorbachev, Sergey
Editor Koeppen, Mario
Editor Muhammad, Khan
Editor Sekhar Banerjee, Jyoti

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