Comparative analysis of machine learning models for predicting river water quality: a case study of the Zayandeh Rood River
Given the key role of rivers in supplying drinking water, supporting industry, agriculture, and ecosystems, water quality assessment and pollution quantification are essential for sustainable use. This study evaluated five machine learning models, i.e., Lasso Regression, Random Forest (RF), Gradient...
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| Main Authors: | Elham Fazel Najafabadi, Paria Shojaei, Mojgan Askarizadeh |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-09-01
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| Series: | Results in Engineering |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S259012302502732X |
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