Groundwater levels have been declining recently in Malaysia. This is why, the current study
was aimed to propose an accurate groundwater levels prediction model using machine …

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

Groundwater always has been considered as one of the major sources of drinking and
agricultural water supply, especially in arid and semi-arid zones. Thus, there is a need to …

The Gabès region in southeastern Tunisia faces significant water stress due to limited water
resources, with groundwater being the primary source for various human activities. The …

Monitoring water table fluctuations is essential, and it is even more important to predict the
groundwater level to plan for the future needs. Though it is challenging task to model …

Our research investigates the control of stylolites on fluid flow in dolostone host rocks in the
Irankuh Zn-Pb world-class deposit located in Sanandaj-Sirjan Zone, Iran. Core samples from …

To overcome the deficiencies of high computational complexity and low convergence speed
in traditional neural networks, a novel bio-inspired machine learning algorithm named brain …

Proper estimation of the spatial distribution of water-table depth is highly important in most
groundwater studies. Groundwater depth is measured at specific and limited points and it is …

The conjugation of two or more Artificial Intelligent (AI) models used to design a single
model that has increased in popularity over the recent years for exploration of hydrocarbon …

Groundwater is one of the major sources of water. Maintenance and management of this
vital resource is so important in arid and semi-arid region. Thus, reliable and accurate …