JpGU-AGU Joint Meeting 2026

Presentation information

[E] Poster

A (Atmospheric and Hydrospheric Sciences ) » A-TT Technology &Techniques

[A-TT49] Machine Learning Techniques in Weather, Climate, Ocean, Hydrology and Disease Predictions

Wed. May 27, 2026 5:15 PM - 7:00 PM Poster Hall (Exhibition Hall 7&8, Makuhari Messe)

5:15 PM - 7:00 PM

[ATT49-P07] Estmation of Maximum Toe Scour Depth for Embankment under Oblique Flow Using Machine Learning Algorithms

*CHI EN CHIU1, You Da Jhong1 (1. Feng Chia University, Department of Water Resources Engineering and Conservation)

Keywords:Oblique flow, Toe scour, Hydraulic model experiment, machine learning