For more than one billion people living in coastal regions, coastal aquifers provide a water
resource. In coastal regions, monitoring water quality is an important issue for policymakers …

Monitoring of long-term contaminant concentrations trends is essential to verify that
attenuation processes are effectively occurring at a site. However, monitoring data are often …

This study utilized different methods, namely classical multiple linear regression (MLR),
statistical approach exponential smoothing (EXPS), and deep learning algorithm long short …

Municipal wastewater generally contains high amounts of nitrogen (N), approximately 23–28
mg/L of total Kjeldahl Nitrogen (TKN), which causes eutrophication and pollution of …

Scarcity of water resources is becoming a threatening issue in arid regions like Gulf.
Accurate prediction of quantities and quality of groundwater is the first step towards better …

Cooling water towers are commonly used in industrial and commercial applications.
Industrial sites frequently have harsh environments, with certain characteristics such as poor …

This study explores the prediction of shear strength in fly ash-stabilized clayey soil using
Artificial Neural Network (ANN) and Support Vector Regression (SVR). Clayey soils …

The purpose of this study was to investigate the ability of both positive and negative self-talk
to predict job performance. It specifically aimed to address the gap in research connecting …

This study evaluates carcinogenic health risks and groundwater quality in lead–zinc mining
areas of Ebonyi State, Nigeria, using machine learning to predict contamination levels …

Water resources are directly related to the economic conditions of a region. Precise
estimation of groundwater is an important step toward better planning and management …