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: AI knowledge transfer from the university to society
    sub title: applications in high-impact sectors
  name:
    name part: Guadix Martín, José
    role:
      role term: editor.
  name:
    name part: Lilic, Milica
    role:
      role term: editor.
  name:
    name part: Rosales Martínez, Marina
    role:
      role term: editor.
  name:
    name part: Taylor & Francis
  type of resource: text
  genre: bibliography
  genre: Electronic books.
  origin info:
    place:
      place term: flu
    date issued: 2022
    copyright date: 2022
    edition: First edition.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource (xxvi, 122 pages) : illustrations (black and white)
  abstract: AI Knowledge Transfer from the University to Society: Applications in High-Impact Sectors brings together examples from the "Innovative Ecosystem with Artificial Intelligence for Andalusia 2025" project at the University of Seville, a series of sub-projects composed of research groups and different institutions or companies that explore the use of Artificial Intelligence in a variety of high-impact sectors to lead innovation and assist in decision-making. Key Features Includes chapters on health and social welfare, transportation, digital economy, energy efficiency and sustainability, agro-industry, and tourism Great diversity of authors, expert in varied sectors, belonging to powerful research groups from the University of Seville with proven experience in the transfer of knowledge to the productive sector and agents attached to the Andaluca TECH Campus
  table of contents: Health and Social Welfare -- Energy Efficiency and Sustainable Construction -- Digital Economy -- Mobility Logistics and Advanced Industry Linked to Transportation -- Endogenous Land-Based Resources, Agroindustry, and Tourism -- Conclusion.
  note: edited by José Guadix Martín, Milica Lilic, Marina Rosales Martínez.
  note: Includes bibliographical references and index.
  note: José Guadix Martín, Professor, Department of Industrial Organization and Business Management, University of Seville, Spain. Milica Lilic, R&D Project Manager at the Secretariat of Knowledge Transfer and Entrepreneurship, University of Seville, Spain. Marina Rosales Martínez, Head of Service at the Secretariat of Knowledge Transfer and Entrepreneurship, University of Seville, Spain.
  subject:
    topic: Artificial intelligence
  subject:
    topic: Artificial intelligence
    topic: Social aspects
  subject:
    topic: Artificial intelligence
    topic: Economic aspects
  subject:
    topic: Artificial Intelligence
  subject:
    topic: Intelligence artificielle
  subject:
    topic: Intelligence artificielle
    topic: Aspect social
  subject:
    topic: Intelligence artificielle
    topic: Aspect économique
  subject:
    topic: artificial intelligence
  subject:
    topic: COMPUTERS
    topic: General
  subject:
    topic: COMPUTERS
    topic: Computer Graphics
    topic: Game Programming & Design
  subject:
    topic: COMPUTERS
    topic: Computer Graphics
    topic: Image Processing (see also PHOTOGRAPHY
    topic: Techniques
    topic: Digital)
  subject:
    topic: Artificial intelligence
  subject:
    topic: Artificial intelligence
    topic: Economic aspects
  subject:
    topic: Artificial intelligence
    topic: Social aspects
  subject:
    topic: Agroindustry
  subject:
    topic: Artificial Intelligence
  subject:
    topic: Digital Economy
  subject:
    topic: Energy efficiency
  subject:
    topic: Health and Social welfare
  subject:
    topic: Mobility logistics
  subject:
    topic: Tourism
  subject:
    topic: Welfare
  classification: Q335 .A44 2022
  classification: 006.3
  related item:
    title info:
      title: AI knowledge transfer from the university to society
    origin info:
      publisher: Boca Raton : CRC Press, 2022
    identifier: (OCoLC)1289288080
  related item:
    title info:
      title: CRC focus series
  identifier: 9781003276609
  identifier: 1003276601
  identifier: 9781000568172
  identifier: 1000568172
  identifier: 9781000568134
  identifier: 100056813X
  identifier: 9781032226323
  identifier: 1032226323
  identifier: 9781003276609 Taylor & Francis
  identifier: https://www.taylorfrancis.com/books/9781003276609
  record info:
    record content source: TYFRS
    record creation date: 220111
    record change date: 20240130225736.2
    record identifier: in00004769064
    language of cataloging:
      language term: eng