Application of Machine Learning methods to correct the readings of low-cost air pollution sensors

The study is devoted to the analysis of the application of machine learning methods for correcting the readings of inexpensive sensors that record the concentration of suspended particles PM2.5 in the surface layer of the atmosphere, relative to readings of reference stations. The analysis was carri...

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Bibliographic Details
Main Author: Petrakova Viktoriya
Format: Article
Language:English
Published: EDP Sciences 2023-01-01
Series:E3S Web of Conferences
Online Access:https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/18/e3sconf_aquaculture2023_01052.pdf