Although numerical and non-numerical models of groundwater flow and transport have
separately been reviewed in several studies, they have not hitherto been reviewed …

In the Mediterranean area, the high water demand frequently leads to an excessive
exploitation of the water resource, which involves a qualitative degradation of the …

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 …

While the application of neural networks for groundwater level forecasting in general has
been investigated by many authors, the use of nonlinear autoregressive networks with …

Groundwater is a life-sustaining resource catering the daily water requirements of mankind,
aids in industrial development, influences agricultural activity, and maintains the ecological …

Accurate information about groundwater level prediction is crucial for effective planning and
management of groundwater resources. In the present study, the Artificial Neural Network …

Estimating groundwater levels (GWL) with accuracy and reliability, in order to maximize the
use of water resources, it is crucial to reduce water consumption. To predict GWL in the …

Groundwater management requires a systematic approach since it is crucial to the long-term
viability of livelihoods and regional economies all over the world. There is insufficient …

In this study, two different machine learning models, Multivariate Adaptive Regression
Splines (MARS) and M5 Model Trees (MT) have been applied to simulate the groundwater …

Groundwater scarcity is one of the most concerning issues in arid and semi-arid regions. In
this study, we develop and validate a novel artificial intelligence that is a coupling of five …