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Understanding COVID-19: The Role of Computational Intelligence 2022 ed. [Hardback]

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  • Formāts: Hardback, 569 pages, height x width: 235x155 mm, weight: 1039 g, 173 Illustrations, color; 61 Illustrations, black and white; XV, 569 p. 234 illus., 173 illus. in color., 1 Hardback
  • Sērija : Studies in Computational Intelligence 963
  • Izdošanas datums: 28-Jul-2021
  • Izdevniecība: Springer Nature Switzerland AG
  • ISBN-10: 3030747603
  • ISBN-13: 9783030747602
Citas grāmatas par šo tēmu:
  • Hardback
  • Cena: 180,78 €*
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  • Standarta cena: 212,69 €
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  • Formāts: Hardback, 569 pages, height x width: 235x155 mm, weight: 1039 g, 173 Illustrations, color; 61 Illustrations, black and white; XV, 569 p. 234 illus., 173 illus. in color., 1 Hardback
  • Sērija : Studies in Computational Intelligence 963
  • Izdošanas datums: 28-Jul-2021
  • Izdevniecība: Springer Nature Switzerland AG
  • ISBN-10: 3030747603
  • ISBN-13: 9783030747602
Citas grāmatas par šo tēmu:
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. 
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.