相关实验视频

Updated: Jun 17, 2025

Parameterizing V-notch Weir Equations for Flow Monitoring in a Drainage Control Structure
07:15

Parameterizing V-notch Weir Equations for Flow Monitoring in a Drainage Control Structure

Published on: April 25, 2025

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定制采样方法用于预测水分网络中的管道故障

Milad Latifi1, Ramiz Beig Zali2, Akbar A Javadi2

  • 1Centre for Water Systems, University of Exeter, Exeter, UK. m.latifi@exeter.ac.uk.

Scientific reports
|August 6, 2024
PubMed
概括

这项研究通过使用数据平衡技术,提高了在供水网络 (WDNs) 中的管道故障预测. 通过将特定的过量采样和不足采样比率与不平衡数据集的类权重相结合,实现了最佳结果.

关键词:
班级权衡权重是如何衡量的管道中的故障预测.不平衡类数据不平衡类数据机器学习是机器学习.过量采样 过量采样没有充分采样.水分网络的水分网络.

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