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evalPM: a framework for evaluating machine learning models for particulate matter prediction
Air pollution through particulate matter (PM) is one of the largest threats to human health. To understand the causes of PM pollution and enact suitable countermeasures, reliable predictions of future PM concentrations are required. In the scientific literature, many methods exist for machine learni...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer International Publishing
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10657320/ https://www.ncbi.nlm.nih.gov/pubmed/37979062 http://dx.doi.org/10.1007/s10661-023-11996-y |