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Understanding COVID-19 = the role of...

Nayak, Janmenjoy.

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Understanding COVID-19 = the role of computational intelligence /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Understanding COVID-19/ edited by Janmenjoy Nayak, Bighnaraj Naik, Ajith Abraham.
Reminder of title:	the role of computational intelligence /
other author:	Nayak, Janmenjoy.
Published:	Cham :Springer International Publishing : : 2022.,
Description:	xv, 569 p. :ill., digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer Nature eBook
Subject:	COVID-19 (Disease) - Data processing. -
Online resource:	https://doi.org/10.1007/978-3-030-74761-9
ISBN:	9783030747619

Understanding COVID-19 = the role of computational intelligence /
Understanding COVID-19the role of computational intelligence /[electronic resource] :edited by Janmenjoy Nayak, Bighnaraj Naik, Ajith Abraham. - Cham :Springer International Publishing :2022. - xv, 569 p. :ill., digital ;24 cm. - Studies in computational intelligence,v. 9631860-949X ;. - Studies in computational intelligence ;v. 963..

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.

This book provides a comprehensive description of the novel coronavirus infection, spread analysis, and related challenges for the effective combat and treatment. With a detailed discussion on the nature of transmission of COVID-19, few other important aspects such as disease symptoms, clinical application of radiomics, image analysis, antibody treatments, risk analysis, drug discovery, emotion and sentiment analysis, virus infection, and fatality prediction are highlighted. The main focus is laid on different issues and futuristic challenges of computational intelligence techniques in solving and identifying the solutions for COVID-19. The book drops radiance on the reasons for the growing profusion and complexity of data in this sector. Further, the book helps to focus on further research challenges and directions of COVID-19 for the practitioners as well as researchers.

ISBN: 9783030747619

Standard No.: 10.1007/978-3-030-74761-9doiSubjects--Topical Terms:

3486187
COVID-19 (Disease)
--Data processing.

LC Class. No.: RA644.C67 / U43 2022

Dewey Class. No.: 614.592414

Understanding COVID-19 = the role of computational intelligence /
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505 0 $a 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.
520 $a This book provides a comprehensive description of the novel coronavirus infection, spread analysis, and related challenges for the effective combat and treatment. With a detailed discussion on the nature of transmission of COVID-19, few other important aspects such as disease symptoms, clinical application of radiomics, image analysis, antibody treatments, risk analysis, drug discovery, emotion and sentiment analysis, virus infection, and fatality prediction are highlighted. The main focus is laid on different issues and futuristic challenges of computational intelligence techniques in solving and identifying the solutions for COVID-19. The book drops radiance on the reasons for the growing profusion and complexity of data in this sector. Further, the book helps to focus on further research challenges and directions of COVID-19 for the practitioners as well as researchers.
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