Performance of machine learning methods in predicting water quality index based on irregular data set: application on Illizi region (Algerian southeast)
Groundwater quality appraisal is one of the most crucial tasks to ensure safe drinking water
sources. Concurrently, a water quality index (WQI) requires some water quality parameters …
sources. Concurrently, a water quality index (WQI) requires some water quality parameters …
Hydrogeochemical evaluation of groundwater aquifers and associated health hazard risk mapping using ensemble data driven model in a water scares plateau region …
Health hazard risk mapping (HHRM) is an important technique used to estimate the potential
health risk of an individual, a group, or an entire community of a region. To further progress …
health risk of an individual, a group, or an entire community of a region. To further progress …
Evaluation of energy dissipation on stepped spillway using evolutionary computing
A Parsaie, AH Haghiabi - Applied Water Science, 2019 - Springer
In this study, using the M5 algorithm and multilayer perceptron neural network (MLPNN), the
capability of stepped spillways regarding energy dissipation (ED) was approximated. For …
capability of stepped spillways regarding energy dissipation (ED) was approximated. For …
Estimating critical depth and discharge over sloping rough end depth using machine learning
AY Mohammed, P Sihag - Journal of Hydroinformatics, 2024 - iwaponline.com
This study uses machine learning (ML) to predict the end-depth structure's discharge and
critical depth (yc). Linear regression, M5P, random forest, random tree, reduced error …
critical depth (yc). Linear regression, M5P, random forest, random tree, reduced error …
Assessment of hydraulic conductivity of compacted clayey soil using artificial neural network: an investigation on structural and database multicollinearity
This work reveals the effect of hidden layers (HL) and neurons (N) on the performance of
artificial neural network (ANN) models in predicting clayey soil's hydraulic conductivity (K) …
artificial neural network (ANN) models in predicting clayey soil's hydraulic conductivity (K) …