rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Emerging Technologies During the Era of COVID-19 Pandemic
  name:
    name part: Arpaci, Ibrahim.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: Al-Emran, Mostafa.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: A. Al-Sharafi, Mohammed.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: Marques, Gonçalo.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  genre: Electronic books.
  origin info:
    place:
      place term: sz
    date issued: 2021
    edition: 1st ed. 2021.
    issuance: monographic
  language:
    language term: eng
  physical description:
    reformatting quality: access
    form: remote
    extent: 1 online resource (XI, 385 pages 106 illustrations, 98 illustrations in color.)
  abstract: This book tackles the recent research directions in using the newly emerged technologies during the era of COVID-19 pandemic. It mainly focuses on using emerging technologies and their impact on health care, education, and society. It also provides insights into the current challenges and constraints in using technologies during the era of COVID-19 pandemic and exposes new opportunities for future research in the domain.
  note: edited by Ibrahim Arpaci, Mostafa Al-Emran, Mohammed A. Al-Sharafi, Gonçalo Marques.
  subject:
    topic: Computational intelligence
  subject:
    topic: Engineering-Data processing
  subject:
    topic: Artificial intelligence
  subject:
    topic: Biomedical engineering
  subject:
    topic: Computational Intelligence
  subject:
    topic: Data Engineering
  subject:
    topic: Artificial Intelligence
  subject:
    topic: Biomedical Engineering and Bioengineering
  classification: Q342
  classification: 006.3
  related item:
    title info:
      title: Springer Nature eBook
  related item:
    title info:
      title: Studies in Systems, Decision and Control, 348
  identifier: 9783030677169
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record creation date: 210320
    record change date: 20230330185133.3
    record identifier: in00004415563