Application of bagging and boosting ensemble machine learning techniques for groundwater potential mapping in a drought-prone agriculture region of eastern India-Reference-Cited by-同舟云学术

Application of bagging and boosting ensemble machine learning techniques for groundwater potential mapping in a drought-prone agriculture region of eastern India

Published:2024-09-02 Issue:1 Volume:36 Page:
ISSN:2190-4715
Container-title:Environmental Sciences Europe
language:en
Short-container-title:Environ Sci Eur

Author:

Halder Krishnagopal,Srivastava Amit Kumar,Ghosh Anitabha,Nabik Ranajit,Pan Subrata,Chatterjee Uday,Bisai Dipak,Pal Subodh Chandra^ORCID,Zeng Wenzhi,Ewert Frank,Gaiser Thomas,Pande Chaitanya Baliram,Islam Abu Reza Md. Towfiqul,Alam Edris,Islam Md Kamrul

Funder

Rabdan Academy

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1186/s12302-024-00981-y.pdf

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5. Al-Fugara A, Ahmadlou M, Shatnawi R, AlAyyash S, Al-Adamat R, Al-Shabeeb AA, Soni S (2020) Novel hybrid models combining meta-heuristic algorithms with support vector regression (SVR) for groundwater potential mapping. Geocarto Int 37(9):2627–2646. https://doi.org/10.1080/10106049.2020.1831622