Assessing the nature of potential groundwater zones through machine learning (ML) algorithm in tropical plateau region, West Bengal, India

Author:

Kundu Moumita,Zafor Abu,Maiti Ramakrishna

Publisher

Springer Science and Business Media LLC

Subject

Geophysics

Reference52 articles.

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2. Balbarini N, Bjerg PL, Binning PJ, Christiansen AV (2017) Modelling tools for integrating geological, geophysical and contamination data for characterization of groundwater plumes. In: Ph.D. Thesis, Department of Environmental Engineering, Technical University of Denmark, Kgs., Lyngby, Denmark

3. Bonham-Carter GF (1994) Geographic information systems for geoscientists: modelling with GIS, vol 3. Elsevier, UK

4. Breiman L (2001) Random Forests. Mach Learn 45(1):5–32

5. Chen W, Li H, Hou E, Wang S, Wang G, Peng T (2018) GIS based groundwater potential analysis using novel ensemble weights-of-evidence with logistic regression and functional tree models. Sci Total Environ 634:853–867. https://doi.org/10.1016/j.scitotenv.2018.04.055

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