Application of machine learning methods to correct the readings of low-cost air pollution sensors

HIGHLIGHTS

• who: Petrakova Viktoriya from the Of Computational Modeling, Akademgorodok, Krasnoyarsk, Russia have published the article: Application of Machine Learning methods to correct the readings of low-cost air pollution sensors, in the Journal: (JOURNAL) of December/31,/2022
• what: 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 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 . . .
  

   

  

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