The current study aimed at evaluating the capabilities of seven advanced machine learning
techniques (MLTs), including, Support Vector Machine (SVM), Random Forest (RF) …

Groundwater is an important resource that contributes significantly to the total annual water
supply. The purpose of the present study is to assess and delineate the groundwater …

This study proposes two techniques: Deep Learning (DL) and Ensemble Deep Learning
(EDL) to predict groundwater level (GWL) for five wells in Malaysia. Two scenarios were …

Theme unsuitability is noted to have inhibited the accuracy of groundwater potential zones
(GWPZs) mapping approach, especially in a semi-arid environment where surface water …

Groundwater salinization is considered as a major environmental problem in worldwide
coastal areas, influencing ecosystems and human health. However, an accurate prediction …

Increased consumption of water resource due to rapid growth of population has certainly
reduced the groundwater storage beneath the earth which leads certain challenges to …

Managed aquifer recharge (MAR) replenishes groundwater by artificially entering water into
subsurface aquifers. This technology improves water storage, reduces over-extraction, and …

Groundwater is considered to be one of the most valuable natural resources in the world.
However, the availability of groundwater is of concern. Therefore, understanding the …

Most of the groundwater vulnerability assessment methods using machine learning are
binary classification. This study attempts multi-class classification models to map the …

Forecasting water quality parameters helps plan crop selection and irrigation strategies but
is often costly because many parameters are required, particularly in developing nations …