UID:
almahu_9949226770202882
Format:
XV, 569 p. 234 illus., 173 illus. in color.
,
online resource.
Edition:
1st ed. 2022.
ISBN:
9783030747619
Series Statement:
Studies in Computational Intelligence, 963
Content:
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. .
Note:
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. .
In:
Springer Nature eBook
Additional Edition:
Printed edition: ISBN 9783030747602
Additional Edition:
Printed edition: ISBN 9783030747626
Additional Edition:
Printed edition: ISBN 9783030747633
Language:
English
Subjects:
Computer Science
DOI:
10.1007/978-3-030-74761-9
URL:
https://doi.org/10.1007/978-3-030-74761-9
URL:
Volltext
(URL des Erstveröffentlichers)
