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Association of precipitation extremes and crops production and projecting future extremes using machine learning approaches with CMIP6 data.
Khan, Firdos; Spöck, Gunter; Liou, Yuei-An; Ali, Shaukat.
Afiliação
  • Khan F; School of Natural Sciences (SNS), National University of Sciences and Technology (NUST), Islamabad, 44000, Pakistan. fkyousafzai@gmail.com.
  • Spöck G; Center for Space and Remote Sensing Research, National Central University (NCU), No. 300, Jhongda Rd., Jhongli District, Taoyuan City, 320317, Taiwan, ROC. fkyousafzai@gmail.com.
  • Liou YA; Department of Statistics, University of Klagenfurt, Universitatstrasse 65-67, 9020, Klagenfurt, Austria. fkyousafzai@gmail.com.
  • Ali S; Department of Statistics, University of Klagenfurt, Universitatstrasse 65-67, 9020, Klagenfurt, Austria.
Environ Sci Pollut Res Int ; 2024 Sep 02.
Article em En | MEDLINE | ID: mdl-39218845
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Environ Sci Pollut Res Int Ano de publicação: 2024 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Environ Sci Pollut Res Int Ano de publicação: 2024 Tipo de documento: Article