Using Machine Learning to Differentiate Types of Particle Jumps in DNS Data of Sediment Transport

The International Association for Hydro-Environment Engineering and Research (IAHR), founded in 1935, is a worldwide independent organisation of engineers and water specialists working in fields related to the hydro-environmental sciences and their practical application.

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Publication Details

Published
2025-10-16
DOI
https://doi.org/10.64697/978-90-835589-7-4_41wc-p1988-cd
Citations
1
Primary Topic
Hydrological Forecasting Using AI
Type
article
Field-Weighted Citation Impact
0.80
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article

Using Machine Learning to Differentiate Types of Particle Jumps in DNS Data of Sediment Transport

Ricardo Rebel, Ramandeep Jain, Christian Golla, Jochen Frohlich
1 citations
Hydrological Forecasting Using AI
0.80
article

Using Machine Learning to Differentiate Types of Particle Jumps in DNS Data of Sediment Transport

Ricardo Rebel, Ramandeep Jain, Christian Golla, Jochen Frohlich
article en
1 citations

Abstract

The International Association for Hydro-Environment Engineering and Research (IAHR), founded in 1935, is a worldwide independent organisation of engineers and water specialists working in fields related to the hydro-environmental sciences and their practical application.

Openalex Percentile: Top 21%
Hydrological Forecasting Using AI
0.80
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Using Machine Learning to Differentiate Types of Particle Jumps in DNS Data of Sediment Transport — Ricardo Rebel, Ramandeep Jain, et al. · (2025) | TGRS Research Map | TGRS