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...

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Detalles Bibliográficos
Autores principales: Woltmann, Lucas, Deepe, Jonas, Hartmann, Claudio, Lehner, Wolfgang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2023
Materias:
Research
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

Internet

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

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