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  1. No Access

    Article

    Prediction of Irrigation Water Quality Indices Using Random Committee, Discretization Regression, REPTree, and Additive Regression

    This study aims to evaluate the performance of four ensemble machine learning methods, i.e., Random Committee, Discretization Regression, Reduced Error Pruning Tree, and Additive Regression, to estimate water ...

    Mustafa Al-Mukhtar, Aman Srivastava, Leena Khadke… in Water Resources Management (2024)

  2. No Access

    Article

    Prediction of lead (Pb) adsorption on attapulgite clay using the feasibility of data intelligence models

    This study investigates the performance of support vector machine (SVM), multivariate adaptive regression spline (MARS), and random forest (RF) models for predicting the lead (Pb) adsorption by attapulgite cla...

    Suraj Kumar Bhagat, Mariapparaj Paramasivan… in Environmental Science and Pollution Resear… (2021)

  3. No Access

    Article

    Assessing the Impacts of Climate Change on Hydrology of the Upper Reach of the Spree River: Germany

    The aim of this study was to assess the potential impacts of future climate change on the hydrological response in the upper reach of the Spree River catchment using the Soil and Water Assessment Tool (SWAT). ...

    Mustafa Al-Mukhtar, Volkmar Dunger, Broder Merkel in Water Resources Management (2014)