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    A novel hybrid machine learning framework for spatio-temporal analysis of reference evapotranspiration in India

    New search for: Banerjee, Dolon
    New search for: Ganguly, Sayantan
    New search for: Tsai, Wen-Ping

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    A novel hybrid machine learning framework for spatio-temporal analysis of reference evapotranspiration in India

    New search for: Banerjee, Dolon
    New search for: Ganguly, Sayantan
    New search for: Tsai, Wen-Ping

    Access

    Download

    A novel hybrid machine learning framework for spatio-temporal analysis of reference evapotranspiration in India

    New search for: Banerjee, Dolon
    New search for: Ganguly, Sayantan
    New search for: Tsai, Wen-Ping

    Access

    Download

    Access

    Download

    Page navigation

    Document information
    Similar titles

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    Document information
    Title:

    A novel hybrid machine learning framework for spatio-temporal analysis of reference evapotranspiration in India

    Additional title:

    Journal of Hydrology: Regional Studies

    Contributors:

    Banerjee, Dolon (author) / Ganguly, Sayantan (author) / Tsai, Wen-Ping (author)

    Published in:

    Journal of Hydrology: Regional Studies ; 58 ; 102271

    Publication date:

    2025-04-01

    ISSN:

    2214-5818

    DOI:

    https://doi.org/10.1016/j.ejrh.2025.102271

    Type of media:

    Article (Journal)

    Type of material:

    Electronic Resource

    Language:

    English

    Licence:

    http://creativecommons.org/licenses/by/4.0/

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