Artificial intelligence for coronavirus outbreak

• Material Type: 図書
• ISBN: 981155935X; 9789811559358
• ISSN (series): 2191-530X; 2625-3704
• Title: Artificial intelligence for coronavirus outbreak
• Author/Editor: Simon James Fong, Nilanjan Dey, Jyotismita Chaki
• Series Title: SpringerBriefs in Applied Sciences and Technology; SpringerBriefs in computational intelligence
• Title Heading: SpringerBriefs in applied sciences and technology
• Author Heading: Fong, Simon; Dey, Nilanjan, 1984-; Chaki, Jyotismita
• Publication, Distribution, etc.: Singapore : Springer (出版)
• Publication Date: [2021]
• Publication Date (W3CDTF): 2021
• Extent: xi, 74 pages
• Other physical details: color illustrations
• Size: 24 cm
• Place of Publication (Country Code): SG
• Text Language Code: eng
• Content Type: text
• Media Type: unmediated
• Carrier Type: volume
• Subject Heading: COVID-19 (Disease)--Data processing; Artificial intelligence--Medical applications; Computational intelligence; Artificial intelligence; Artificial intelligence.; Artificial intelligence--Medical applications.; Computational intelligence.; COVID-19 (Disease)--Data processing.
• NDLC: EG244
• Target Audience: 一般
• Note (Bibliography): Includes bibliographical references
• Holding library: 国立国会図書館
• Call No.: EG244-D120
• Data Provider (Database): 国立国会図書館 : 国立国会図書館蔵書; https://ndlsearch.ndl.go.jp
• Bibliographic ID (NDL): 031278769; http://id.ndl.go.jp/bib/031278769
• OCLC No.: 1154132060; https://www.worldcat.org/oclc/1154132060
• Cataloging Rule: RDA
• Bibliographic Record Category (NDL): 211

• Contents: An Introduction to COVID-19AI-enabled Technologies that Fight the Coronavirus OutbreakAI-empowered Data Analytics for Coronavirus Epidemic Monitoring ...
• Summary, etc.: This book examines how the wonders of AI have contributed to the battle against COVID-19. Just as history repeats itself, so do epidemics and pandemic...