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A panoramic view and swot analysis of artificial intelligence for achieving the sustainable development goals by 2030: progress and prospects.
Palomares, Iván; Martínez-Cámara, Eugenio; Montes, Rosana; García-Moral, Pablo; Chiachio, Manuel; Chiachio, Juan; Alonso, Sergio; Melero, Francisco J; Molina, Daniel; Fernández, Bárbara; Moral, Cristina; Marchena, Rosario; de Vargas, Javier Pérez; Herrera, Francisco.
Afiliação
  • Palomares I; Andalusian Research Institute in Data Science and Computational Intelligence (DaSCI), University of Granada, 18071 Granada, Spain.
  • Martínez-Cámara E; Department of Computer Science and Information Engineering, National Cheng Kung University, 70101 Tainan, Taiwan.
  • Montes R; Andalusian Research Institute in Data Science and Computational Intelligence (DaSCI), University of Granada, 18071 Granada, Spain.
  • García-Moral P; Andalusian Research Institute in Data Science and Computational Intelligence (DaSCI), University of Granada, 18071 Granada, Spain.
  • Chiachio M; Faculty of Arts, University of Granada, 18071 Granada, Spain.
  • Chiachio J; Andalusian Research Institute in Data Science and Computational Intelligence (DaSCI), University of Granada, 18071 Granada, Spain.
  • Alonso S; Andalusian Research Institute in Data Science and Computational Intelligence (DaSCI), University of Granada, 18071 Granada, Spain.
  • Melero FJ; Andalusian Research Institute in Data Science and Computational Intelligence (DaSCI), University of Granada, 18071 Granada, Spain.
  • Molina D; Andalusian Research Institute in Data Science and Computational Intelligence (DaSCI), University of Granada, 18071 Granada, Spain.
  • Fernández B; Andalusian Research Institute in Data Science and Computational Intelligence (DaSCI), University of Granada, 18071 Granada, Spain.
  • Moral C; Ferrovial S.A., C/ Principe de Vergara 135, 28002 Madrid, Spain.
  • Marchena R; Ferrovial S.A., C/ Principe de Vergara 135, 28002 Madrid, Spain.
  • de Vargas JP; Ferrovial S.A., C/ Principe de Vergara 135, 28002 Madrid, Spain.
  • Herrera F; Royal Academy of Engineering of Spain, 28005 Madrid, Spain.
Appl Intell (Dordr) ; 51(9): 6497-6527, 2021.
Article em En | MEDLINE | ID: mdl-34764606
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Qualitative_research Idioma: En Revista: Appl Intell (Dordr) Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Espanha
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Qualitative_research Idioma: En Revista: Appl Intell (Dordr) Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Espanha