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- W1839773088 abstract "Modern water distribution networks are equipped with a large amount of sensors to monitor the drinking water quality. To detect anomalies, usually each sensor contains its own threshold, but machine-learning algorithms become an alternative to reduce the parametrization effort. Still, one reason why they are not used in practice is the geographical restricted data access. Data is stored at the plant, but data scientists needed for the data analysis are situated elsewhere." @default.
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- W1839773088 date "2016-11-30" @default.
- W1839773088 modified "2023-09-24" @default.
- W1839773088 title "Cloud-based event detection platform for water distribution networks using machine-learning algorithms" @default.
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- W1839773088 doi "https://doi.org/10.1007/978-3-662-53806-7_5" @default.
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