Artificial intelligence for COVID-19

• Material Type: 図書
• ISBN: 3030697436; 9783030697433
• ISSN (series): 2198-4182
• Title: Artificial intelligence for COVID-19
• Author/Editor: Diego Oliva, Said Ali Hassan, Ali Mohamed, editors
• Series Title: Studies in systems, decision and control ; volume 358
• Title Heading: Studies in systems, decision and control ; v. 358
• Author Heading: Oliva, Diego; Hassan, Said Ali, 1948-; Mohamed, Ali Wagdy, 1978-
• Publication, Distribution, etc.: Cham, Switzerland : Springer (出版)
• Publication Date: [2021]; 著作権日付 : ©2021
• Publication Date (W3CDTF): 2021
• Extent: x, 594 pages
• Other physical details: illustrations, charts
• Size: 25 cm
• Place of Publication (Country Code): CH
• Text Language Code: eng
• Content Type: text
• Media Type: unmediated
• Carrier Type: volume
• Subject Heading: COVID-19 (Disease)--Data processing; COVID-19 Pandemic, 2020---Data processing; Artificial intelligence--Medical applications; Artificial intelligence--Medical applications.; COVID-19 (Disease)--Data processing.; Electronic data processing.
• LCC: RA644.C67
• DDC: 614.5/92414
• NDLC: EG244
• Target Audience: 一般
• Note (Bibliography): Includes bibliographical references
• Holding library: 国立国会図書館
• Call No.: EG244-D149
• 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): 031502532; http://id.ndl.go.jp/bib/031502532
• OCLC No.: 1233163984; https://www.worldcat.org/oclc/1233163984
• Cataloging Rule: RDA
• Bibliographic Record Category (NDL): 211

• Contents: IntroPrefaceContents...
• Summary, etc.: This book presents a compilation of the most recent implementation of artificial intelligence methods for solving different problems generated by the ...