Developing Relative Humidity and Temperature Corrections for Low-Cost Sensors Using Machine Learning

Existing government air quality monitoring networks consist of static measurement stations, which are highly reliable and accurately measure a wide range of air pollutants, but they are very large, expensive and require significant amounts of maintenance. As a promising solution, low-cost sensors ar...

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Detalles Bibliográficos
Autores principales: Vajs, Ivan, Drajic, Dejan, Gligoric, Nenad, Radovanovic, Ilija, Popovic, Ivan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8151330/
https://www.ncbi.nlm.nih.gov/pubmed/34065017
http://dx.doi.org/10.3390/s21103338

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8151330/
https://www.ncbi.nlm.nih.gov/pubmed/34065017
http://dx.doi.org/10.3390/s21103338

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