E-Book, Englisch, Band 963, 569 Seiten, eBook
Nayak / Naik / Abraham Understanding COVID-19: The Role of Computational Intelligence
Erscheinungsjahr 2021
ISBN: 978-3-030-74761-9
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark
E-Book, Englisch, Band 963, 569 Seiten, eBook
Reihe: Studies in Computational Intelligence
ISBN: 978-3-030-74761-9
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark
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.
Zielgruppe
Research
Autoren/Hrsg.
Weitere Infos & Material
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.