Found: 10
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New data-driven equation for estimating total sediment loads in rivers: application of the MHBMO algorithm.
- Published in:
- Acta Geophysica, 2024, v. 72, n. 4, p. 2795, doi. 10.1007/s11600-023-01196-0
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- Article
Drought analysis using innovative trend analysis and machine learning models for Eastern Black Sea Basin.
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- Theoretical & Applied Climatology, 2024, v. 155, n. 3, p. 1605, doi. 10.1007/s00704-023-04710-y
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- Article
Assessment of XGBoost to Estimate Total Sediment Loads in Rivers.
- Published in:
- Water Resources Management, 2023, v. 37, n. 13, p. 5289, doi. 10.1007/s11269-023-03606-w
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- Article
Assessment of data-driven models for estimating total sediment discharge.
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- Earth Science Informatics, 2023, v. 16, n. 3, p. 2795, doi. 10.1007/s12145-023-01069-6
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- Article
Application of Machine Learning Models to Bridge Afflux Estimation.
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- Water (20734441), 2023, v. 15, n. 12, p. 2187, doi. 10.3390/w15122187
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- Article
One Dimensional Hydraulic Flow Routing Incorporating a Variable Grain Roughness Coefficient.
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- Water Resources Management, 2019, v. 33, n. 13, p. 4599, doi. 10.1007/s11269-019-02384-8
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- Article
Novel Grain and Form Roughness Estimator Scheme Incorporating Artificial Intelligence Models.
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- Water Resources Management, 2019, v. 33, n. 2, p. 757, doi. 10.1007/s11269-018-2141-z
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- Article
Analysis of water distribution networks using MATLAB and Excel spreadsheet: Q-based methods.
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- Computer Applications in Engineering Education, 2017, v. 25, n. 2, p. 277, doi. 10.1002/cae.21796
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- Article
Analysis of water distribution networks using MATLAB and Excel spreadsheet: h-based methods.
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- Computer Applications in Engineering Education, 2017, v. 25, n. 1, p. 129, doi. 10.1002/cae.21786
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- Publication type:
- Article
Streamline Performance of Excel in Stepwise Implementation of Numerical Solutions.
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- Computer Applications in Engineering Education, 2016, v. 24, n. 4, p. 555, doi. 10.1002/cae.21731
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- Article