An Improved U-Net-Based Framework for Estimating River Surface Flow Velocity

An Improved U-Net-Based Framework for Estimating River Surface Flow Velocity

Objective Accurate estimation of river surface flow velocity is critical for optimizing hydropower generation efficiency and enhancing flood warning systems. Existing deep learning models face challenges in generalization due to limited training samples and data heterogeneity across complex river en...

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Bibliographic Details
Main Authors:	周继威, 安国成, 王根一
Format:	Article
Language:	English
Published:	Editorial Department of Journal of Sichuan University (Engineering Science Edition) 2025-01-01
Series:	工程科学与技术
Subjects:	hydropower generation flow velocity estimation improved U-Net spatiotemporal training data augmentation
Online Access:	http://jsuese.scu.edu.cn/thesisDetails#10.12454/j.jsuese.202400869
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