In this way, the proposed detection system is able to provide detailed information about the water status and distinguish between harmless detergents and ...
In this way, the proposed detection system is able to provide detailed information about the water status and distinguish between harmless detergents and ...
In this way, the proposed detection system is able to provide detailed information about the water status and distinguish between harmless detergents and ...
Abstract—In smart city framework, the water monitoring through an efficient, low–cost, low–power and IoT–oriented sen- sor technology is a crucial aspect to ...
In this way, the proposed detection system is able to provide detailed information about the water status and distinguish between harmless detergents and ...
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C. Bourelly et al., "A Preliminary Solution for Anomaly Detection in Water Quality Monitoring," 2020 IEEE International Conference on Smart Computing (SMARTCOMP) ...
This integration offers a more adaptable and precise solution for detecting anomalies in water quality monitoring. To address this critical issue, this paper ...
Missing: Preliminary | Show results with:Preliminary
Mar 30, 2024 · A survey of machine learning methods applied to anomaly detection on drinking-water quality data. Urban Water J., 16 (2019), pp. 235-248 ...
Leveraging this sensor platform, we developed a CNN-AutoEncoder-SOM solution to automatically monitor, process, and evaluate water quality evolution in the lake ...
Missing: Preliminary | Show results with:Preliminary
Oct 8, 2023 · This combination of approaches offers efficient and effective anomaly detection in multivariate time series data, allowing for identifying and ...
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