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Open access Sep 2026

Comparative assessment of machine learning models for seasonal groundwater-level prediction in the Hiran Basin, India

Groundwater monitoring and water-resource management in the context of growing climatic variability requires accurate prediction of groundwater levels. In this study, six machine-learning models were tested including Random Forest (RF), Extreme Gradient Boosting (XGB), Extra Trees Regressor (ETR), Histogram Gradient...

I. M. Ali, M. Hussein, S. Tiwari et al. · 0 citations

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