| Issue |
E3S Web of Conf.
Volume 381, 2023
International Scientific and Practical Conference “Development and Modern Problems of Aquaculture” (AQUACULTURE 2022)
|
|
|---|---|---|
| Article Number | 01052 | |
| Number of page(s) | 8 | |
| Section | Agriculture, River Ecosystems and Environment | |
| DOI | https://doi.org/10.1051/e3sconf/202338101052 | |
| Published online | 14 April 2023 | |
Application of Machine Learning methods to correct the readings of low-cost air pollution sensors
Institute Of Computational Modeling, 50/44, Akademgorodok, 660036, Krasnoyarsk, Russia
* Corresponding author: vika-svetlakova@yandex.ru
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 carried out on the example of coupled sensors (an inexpensive CityAir sensor and a reference E-BAM) located in Krasnoyarsk (Russia) based on observational data from January 1, 2019 to December 31, 2022. Statistical analysis of the data and comparison of parametric (Linear, Ridge, Lasso, Support vectors machine, Elastic net regressions) and nonparametric (regressions of Nearest Neighbor, Decision Tree and Random Forest) methods for establishing the relationship between two samples was carried out.
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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