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Generative adversarial networks for detecting contamination events in water distribution systems using multi-parameter, multi-site water quality monitoring
Contamination events in water distribution networks (WDNs) can have a huge impact on water supply and public health; increasingly, online water quality sensors are deployed for real-time detection of contamination events. Machine learning has been used to integrate multivariate time series water qua...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9791317/ https://www.ncbi.nlm.nih.gov/pubmed/36578363 http://dx.doi.org/10.1016/j.ese.2022.100231 |