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Machine learning-based estimation of riverine nutrient concentrations and associated uncertainties caused by sampling frequencies
Accurate and sufficient water quality data is essential for watershed management and sustainability. Machine learning models have shown great potentials for estimating water quality with the development of online sensors. However, accurate estimation is challenging because of uncertainties related t...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9278742/ https://www.ncbi.nlm.nih.gov/pubmed/35830456 http://dx.doi.org/10.1371/journal.pone.0271458 |