One-Class Convolutional Neural Networks for Water-Level Anomaly Detection

One-Class Convolutional Neural Networks for Water-Level Anomaly Detection

Companies that own water systems to provide water storage and distribution services always strive to enhance and efficiently distribute water to different places for various purposes. However, these water systems are likely to face problems ranging from leakage to destruction of infrastructures, lea...

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Bibliographic Details
Main Authors:	Isack Thomas Nicholaus, Jun-Seoung Lee, Dae-Ki Kang
Format:	Article
Language:	English
Published:	MDPI AG 2022-11-01
Series:	Sensors
Subjects:	convolutional neural network one-class classification anomaly detection water-level anomaly synthetic data
Online Access:	https://www.mdpi.com/1424-8220/22/22/8764

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