COVID-19 : origin, detection and impact analysis using artificial intelligence computational techniques

• 資料種別: 図書
• ISBN: 9780367674663 (hbk.); 9780367674687 (pbk.); 0367674661
• ISBN（エラーコード）: 9781000391749 (ePub ebook); 9781000391701 (PDF ebook); 9781003131410 (ebook)
• タイトル: COVID-19 : origin, detection and impact analysis using artificial intelligence computational techniques
• 著者・編者: Parag Verma, Ankur Dumka, Alaknanda Ashok, Amit Dumka, Anuj Bhardwaj
• 版: First edition
• 著者標目: Verma, Parag
• 出版事項: Boca Raton : CRC Press (出版)
• 出版年月日等: 2022
• 出版年（W3CDTF）: 2022
• 数量: xviii, 510 pages
• 形態の詳細: illustrations (black and white)
• 大きさ: 26 cm
• 出版地（国名コード）: US
• 本文の言語コード: eng
• 表現種別: text
• 機器種別: unmediated
• キャリア種別: volume
• 件名標目: COVID-19 (Disease)
• LCC: RA644.C67
• DDC: 614.592414
• NDLC: EG244
• 対象利用者: 一般
• 資料の内容に関する注記: This book highlights progress in terms of Virus Biology and Infection Detection, Prevention, and Control, along with Screening, Testing, and Detection Techniques, that will provide learners and researchers (from basic to advanced) with the most innovative computer-driven methodologies for the fight against COVID-19. In addition, this book also covers the Pre- and Post-Impact of the COVID-19 Pandemic Crisis that will definitely provide useful content for researchers to think broadly about the analytical areas affected by COVID-19. This ultimately shows different paths to the same destination to help understand the nature of the COVID-19 pandemic and how to avoid it in the future
• 所蔵機関: 国立国会図書館
• 請求記号: EG244-D106
• 連携機関・データベース: 国立国会図書館 : 国立国会図書館蔵書; https://ndlsearch.ndl.go.jp
• 書誌ID（NDLBibID）: 031387323; http://id.ndl.go.jp/bib/031387323
• OCLC番号: 1255800021; https://www.worldcat.org/oclc/1255800021
• 目録規則: RDA
• 整理区分コード: 211