Forecasting point-of-consumption chlorine residual in refugee settlements using ensembles of artificial neural networks
Abstract Waterborne illnesses are a leading health concern in refugee and internally displaced person (IDP) settlements where waterborne pathogens often spread through household recontamination of stored water. Ensuring sufficient chlorine residual is important for protecting drinking water against...
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| Auteurs principaux: | , , , , |
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| Format: | article |
| Langue: | EN |
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Nature Portfolio
2021
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| Accès en ligne: | https://doaj.org/article/e9da9bf2a52a4a6da9fd0d364b822058 |
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