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The TCOON filter system consists of two implementations of spike detection algorithms which accept parameters from the TCOON meteorological database or series ...
In this paper we propose a novel machine-learning method for anomaly detection. Focusing on data with periodic characteristics where randomly varying period ...
Apr 26, 2024 · This research addresses this issue by proposing a data-driven solution that enhances the timeliness of water quality monitoring. Our research ...
Apr 16, 2024 · Leveraging this sensor platform, we developed a CNN-AutoEncoder-SOM solution to automatically monitor, process, and evaluate water quality ...
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Oct 8, 2021 · We propose an automated solution to detect anomaly pattern(s) of the water levels and report the analysis and time/point(s) of abnormality.
Oct 20, 2023 · Real-time anomaly detection for water quality sensor monitoring based on multivariate deep learning technique.
In this paper, we explore the application of wavelet decomposition in pressure signals analysis for advanced leak detection and localization in water systems ...
Abstract. This study investigates the effectiveness of four signal processing techniques in supporting a data-driven strategy for anomaly detection that ...
This study investigates a 2D-CNN-based method for detecting water-level abnormalities as time-series anomaly pattern detection in the One-Class Classification ...
This paper considers the problem of detecting cyber attacks in Industrial Control Systems (ICS) using digital signal processing (DSP) technology.