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Updated: Jul 12, 2025

Continuous Hydrologic and Water Quality Monitoring of Vernal Ponds
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Published on: November 13, 2017

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基于多变量深度学习技术的水质传感器监测实时异常检测

Engy El-Shafeiy1, Maazen Alsabaan2, Mohamed I Ibrahem3,4

  • 1Department of Computer Science, Faculty of Computers and Artificial Intelligence, University of Sadat City, Sadat City 32897, Monufia, Egypt.

Sensors (Basel, Switzerland)
|October 28, 2023
PubMed
概括

这项研究引入了具有长短期记忆的多变量多重卷积网络 (MCN-LSTM) 以实时检测水质异常. 新的深度学习方法准确地识别出意想不到的数据,确保水安全和可靠性.

关键词:
物联网 (IoT) 的物联网 (IoT) 的物联网.多变量MCN-LSTM是一个多变量网络.检测异常检测异常检测深度学习是一种深度学习.传感器 传感器 传感器时间序列数据数据时间序列数据水的质量水的质量.

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