Develo** accurate soft computing methods for groundwater level (GWL) forecasting is
essential for enhancing the planning and management of water resources. Over the past two …

This study is a review to the special issue on artificial intelligence (AI) methods for
groundwater level (GWL) modeling and forecasting, and presents a brief overview of the …

Load prediction of tunnel boring machines (TBMs) is crucial for the design and safe
operation of these complex engineering systems. However, to date, studies have mostly …

Prediction of the groundwater level (GWL) fluctuations is very important in the water
resource management. This study investigates the potential of two intelligence models …

Artificial neural network (ANN) and Adaptive Neuro-Fuzzy Inference System (ANFIS) have
an extensive range of applications in water resources management. Wavelet transformation …

Accurate and reliable prediction of groundwater level is essential for water resource
development and management. This study was carried out to test the validity of three …

The accurate assessment of groundwater levels is critical to water resource management.
With global warming and climate change, its significance has become increasingly evident …

Abstract The accuracy of Artificial Neural Network (ANN), Adaptive Neuro-Fuzzy Inference
System (ANFIS), wavelet-ANN and wavelet-ANFIS in predicting monthly water salinity levels …

Abstract Study region Kaidu River catchment in the Tianshan Mountain, northwestern China.
Study focus This paper compared the applicability and accuracy of four machine learning …

The nonlinear groundwater level fluctuations depend on the interaction of many factors such
as evapotranspiration, precipitation, groundwater abstraction, and hydrogeological …