applicability of regressors Random Forest (RF), Gradient Booting (GB), and Decision Tree (DT), K Nearest Neighbor (kNN), and XGBoost architectures to predict d…

To predict possible groundwater sites for the research region, this effort was done using machine learning models of the random forest classifier (RFC), a gra…

The study compares the predictive performance of Long Short Term Memory (LSTM), bidirectional LSTM, and Gated Recurrent Units (GRU) deep learning models for th…