Mingeun Song on Muck Rack

Mingeun Song

As seen in: MDPI
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Articles

Water | Free Full-Text | Quantifying Predictive Uncertainty and Feature Selection in River Bed Load Estimation: A Multi-Model Machine Learning Approach with Particle Swarm Optimization

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By Xuan-Hien Le, Trung Huynh, Giha Lee, Mingeun Song
| MDPI
1. Introduction Predicting river bed load is a pivotal challenge in fluvial geomorphology, crucial for understanding river dynamics, sediment transport, and their implications across ecological and engineering applications. The task is inherently complex, driven by the stochastic and non-linear nature of sediment transport within diverse riverine systems.
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