A comparative ensemble approach to bedload prediction using metaheuristic machine learning

A comparative ensemble approach to bedload prediction using metaheuristic machine learning

Abstract An adequate bedload prediction is a challenging task in hydraulic engineering because of the complex sediment transport processes and corresponding environmental factors. The current study introduces a novel comparative ensemble approach using metaheuristic machine learning (ML) models to e...

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Bibliographic Details
Main Authors: Ajaz Ahmad Mir, Mahesh Patel, Fahad Albalawi, Mohit Bajaj, Milkias Berhanu Tuka
Format: Article
Language:English
Published: Nature Portfolio 2024-10-01
Series:Scientific Reports
Subjects:
Bedload transport
Prediction
Alluvial channels
Machine learning
Online Access:https://doi.org/10.1038/s41598-024-75118-5
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https://doi.org/10.1038/s41598-024-75118-5

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