Enhancing estimation of water quality index using stacking machine learning techniques: The case of Southern Bug River

This publication has 27 references indexed in Scilit:

• Predicting water quality variables using gradient boosting machine: global versus local explainability using SHapley Additive Explanations (SHAP)
  Earth Science Informatics, 2025
• RETRACTED: Stacked hybridization to enhance the performance of artificial neural networks (ANN) for prediction of water quality index in the Bagh river basin, India
  Heliyon, 2024
• An advanced deep learning model for predicting water quality index
  Ecological Indicators, 2024
• Assessment of data-driven models for estimating total sediment discharge
  Earth Science Informatics, 2023
• Modeling of groundwater quality index by using artificial intelligence algorithms in northern Khartoum State, Sudan
  Modeling Earth Systems and Environment, 2022
• Performance of machine learning methods in predicting water quality index based on irregular data set: application on Illizi region (Algerian southeast)
  Applied Water Science, 2021
• Comparison of the performance of decision tree (DT) algorithms and extreme learning machine (ELM) model in the prediction of water quality of the Upper Green River watershed
  Water Environment Research, 2021
• Multiple linear regression analysis (MLR) applied for modeling a new WQI equation for monitoring the water quality of Mirim Lagoon, in the state of Rio Grande do Sul—Brazil
  SN Applied Sciences, 2021
• Hybrid decision tree-based machine learning models for short-term water quality prediction
  Chemosphere, 2020
• Selecting statistical indices for calibrating building energy models
  Building and Environment, 2018