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Enhanced joint hybrid deep neural network explainable artificial intelligence model for 1-hr ahead solar ultraviolet index prediction.
Prasad, Salvin S; Deo, Ravinesh C; Salcedo-Sanz, Sancho; Downs, Nathan J; Casillas-Pérez, David; Parisi, Alfio V.
Afiliação
  • Prasad SS; School of Mathematics, Physics and Computing, University of Southern Queensland, Springfield, QLD 4300, Australia. Electronic address: salvin.prasad@usq.edu.au.
  • Deo RC; School of Mathematics, Physics and Computing, University of Southern Queensland, Springfield, QLD 4300, Australia. Electronic address: ravinesh.deo@usq.edu.au.
  • Salcedo-Sanz S; School of Mathematics, Physics and Computing, University of Southern Queensland, Springfield, QLD 4300, Australia; Department of Signal Processing and Communications, Universidad de Alcalá, Alcalá de Henares, 28805, Madrid, Spain. Electronic address: sancho.salcedo@uah.es.
  • Downs NJ; School of Mathematics, Physics and Computing, University of Southern Queensland, Toowoomba, QLD 4350, Australia. Electronic address: nathan.downs@usq.edu.au.
  • Casillas-Pérez D; Department of Signal Processing and Communications, Universidad Rey Juan Carlos, Fuenlabrada, 28942, Madrid, Spain. Electronic address: david.casillas@urjc.es.
  • Parisi AV; School of Mathematics, Physics and Computing, University of Southern Queensland, Toowoomba, QLD 4350, Australia. Electronic address: alfio.parisi@usq.edu.au.
Comput Methods Programs Biomed ; 241: 107737, 2023 Nov.
Article em En | MEDLINE | ID: mdl-37573641

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Energia Solar / Inteligência Artificial Tipo de estudo: Prognostic_studies / Risk_factors_studies País/Região como assunto: Oceania Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Energia Solar / Inteligência Artificial Tipo de estudo: Prognostic_studies / Risk_factors_studies País/Região como assunto: Oceania Idioma: En Ano de publicação: 2023 Tipo de documento: Article