Using Machine Learning for the Calibration of Airborne Particulate Sensors

Airborne particulates are of particular significance for their human health impacts and their roles in both atmospheric radiative transfer and atmospheric chemistry. Observations of airborne particulates are typically made by environmental agencies using rather expensive instruments. Due to the expe...

Descripción completa

Detalles Bibliográficos
Autores principales: Wijeratne, Lakitha O.H., Kiv, Daniel R., Aker, Adam R., Talebi, Shawhin, Lary, David J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6982762/
https://www.ncbi.nlm.nih.gov/pubmed/31877977
http://dx.doi.org/10.3390/s20010099

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6982762/
https://www.ncbi.nlm.nih.gov/pubmed/31877977
http://dx.doi.org/10.3390/s20010099

Ejemplares similares