Development of interpretable intelligent frameworks for estimating river water turbidity
Turbidity (TU) is one of the paramount water quality indicators in rivers and streams. Therefore, knowledge of water TU plays a fundamental role in optimal managing and monitoring river water quality. This study aimed at developing four intelligent schemes including three boosting methods i.e. Categ...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2025-12-01
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| Series: | Engineering Applications of Computational Fluid Mechanics |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/19942060.2025.2511886 |
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