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: Computational Intelligence for COVID-19 and Future Pandemics
    sub title: Emerging Applications and Strategies
  name:
    name part: Kose, Utku.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: Watada, Junzo.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: Deperlioglu, Omer.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: Marmolejo Saucedo, Jose Antonio.
    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: si
    date issued: 2022
    edition: 1st ed. 2022.
    issuance: monographic
  language:
    language term: eng
  physical description:
    reformatting quality: access
    form: remote
    extent: 1 online resource (XXIV, 424 pages 189 illustrations, 139 illustrations in color)
  abstract: The book covers a wide topic collection starting from essentials of Computational Intelligence to advance, and possible application types against COVID-19 as well as its effects on the field of medical, social, and different data-oriented research scopes. Among these topics, the book also covers very recently, vital topics in terms of fighting against COVID-19 and solutions for future pandemics. The book includes the use of computational intelligence for especially medical diagnosis and treatment, and also data-oriented tracking-predictive solutions, which are key components currently for fighting against COVID-19. In this way, the book will be a key reference work for understanding how computational intelligence and the most recent technologies (id est Internet of Healthcare Thing, big data, and data science techniques) can be employed in solution phases and how they change the way of future solutions. The book also covers research works with negative results so that possible disadvantages of using computational intelligence solutions and/or experienced side-effects can be known widely for better future of medical solutions and use of intelligent systems against COVID-19 and pandemics. The book is considering both theoretical and applied views to enable readers to be informed about not only research works but also theoretical views about essentials/components of intelligent systems against COVID-19/pandemics, possible modeling scenarios with current and future perspective as well as solution strategies thought by researchers all over the world.
  table of contents: Image Processing for Computational Intelligence against COVID-19 -- Design of Computational Intelligence against COVID-19 -- Data Processing for Computational Intelligence against COVID-19 -- Geoprocessing/Tracking based Computational Intelligence for COVID-19 -- Computational Intelligence based Diagnosis for COVID-19 -- Predictive Computational Intelligence Systems for COVID-19 -- Computational Intelligence based mobile technology solutions for COVID-19 -- Computational Intelligence based treatment for COVID-19 -- Public Safety oriented Computational Intelligence applications for COVID-19 -- Internet of Health Things (IoHT) against COVID-19 -- Big Data and Computational Intelligence for COVID-19 -- New Data Models to be used by Computational Intelligence against COVID-19 -- Predictive Computational Intelligence for future pandemics -- Future pandemics analyze with Computational Intelligence -- Vaccine / drug discovery with Computational Intelligence against COVID-19 -- Intelligent optimization and Computational Intelligence for pandemics -- Reinforcement Computational Intelligence for pandemics precautions -- Managerial applications by Computational Intelligence for COVID-19 and pandemics.
  note: edited by Utku Kose, Junzo Watada, Omer Deperlioglu, Jose Antonio Marmolejo Saucedo.
  subject:
    topic: Computational intelligence
  subject:
    topic: Machine learning
  subject:
    topic: Computational Intelligence
  subject:
    topic: Machine Learning
  classification: Q342
  classification: 006.3
  related item:
    title info:
      title: Springer Nature eBook
  related item:
    title info:
      title: Disruptive Technologies and Digital Transformations for Society 5.0
  identifier: 9789811637834
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record creation date: 211220
    record change date: 20240805183138.4
    record identifier: in00004554929