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Understanding COVID-19: The Role of Computational Intelligence: Studies in Computational Intelligence, cartea 963

Editat de Janmenjoy Nayak, Bighnaraj Naik, Ajith Abraham
en Limba Engleză Paperback – 29 iul 2022
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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Specificații

ISBN-13: 9783030747633
ISBN-10: 3030747638
Pagini: 569
Ilustrații: XV, 569 p. 234 illus., 173 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.81 kg
Ediția:1st ed. 2022
Editura: Springer International Publishing
Colecția Springer
Seria Studies in Computational Intelligence

Locul publicării:Cham, Switzerland

Cuprins

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. 


Textul de pe ultima copertă

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. 

Caracteristici

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