Understanding COVID-19: The Role of Computational Intelligence

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Beschreibung

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.

Presents advanced computational intelligence approaches spanning the areas of neural networks, connectionist systems, genetic algorithms, evolutionary computation, self-organizing systems, fuzzy systems, and hybrid intelligent systems in solving COVID-19

Covers novel computational intelligence and technological models for the purpose of effective COVID-19 solving at par with the standards laid down by the World Health Organization

Written by experts in the field



Inhalt
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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Produktinformationen

Titel
Understanding COVID-19: The Role of Computational Intelligence
Editor
EAN
9783030747602
ISBN
3030747603
Format
Fester Einband
Herausgeber
Springer International Publishing
Genre
Allgemeines & Lexika
Anzahl Seiten
588
Gewicht
1039g
Größe
H241mm x B160mm x T37mm
Jahr
2021
Untertitel
Englisch
Auflage
1st ed. 2022
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