Hybrid Machine Learning in Hydrological Runoff Forecasting: An Exploration of Extreme Gradient-Boosting and Categorical Gradient Boosting Optimization in the Russian River Basin
Accurate and reliable runoff forecasts are essential for effective water resource management and flood control operations. Hydrological forecasting plays a key role in decision-making, especially under changing climate conditions. Recent advances in machine learning (ML) have opened new opportunitie...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Bilijipub publisher
2025-06-01
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| Series: | Advances in Engineering and Intelligence Systems |
| Subjects: | |
| Online Access: | https://aeis.bilijipub.com/article_223858_3722aa8f575f90d982c4003f47f24781.pdf |
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