Understanding COVID-19: The Role of Computational Intelligence
Author:   Janmenjoy Nayak ,  Bighnaraj Naik ,  Ajith Abraham
Publisher:   Springer Nature Switzerland AG
Edition:   2022 ed.
Volume:   963
ISBN:  

9783030747602


Pages:   569
Publication Date:   28 July 2021
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
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Understanding COVID-19: The Role of Computational Intelligence


Overview

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. 

Full Product Details

Author:   Janmenjoy Nayak ,  Bighnaraj Naik ,  Ajith Abraham
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
Edition:   2022 ed.
Volume:   963
Weight:   1.039kg
ISBN:  

9783030747602


ISBN 10:   3030747603
Pages:   569
Publication Date:   28 July 2021
Audience:   Professional and scholarly ,  College/higher education ,  Professional & Vocational ,  Postgraduate, Research & Scholarly
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

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. 

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