International Scientific Journal


Particulate matter (PM) in air has been proven to be hazardous to human health. Here we focused on analysis of PM data we obtained from the same campaign which was presented in our previous study. Multivariate linear and random forest models were used for the calibration and analysis. In our linear regression model the inputs were PM, temperature and humidity measured with low-cost sensors, and the target was the reference PM measurements obtained from SEPA in the same timeframe.
PAPER REVISED: 2022-12-01
PAPER ACCEPTED: 2022-12-05
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THERMAL SCIENCE YEAR 2023, VOLUME 27, ISSUE Issue 3, PAGES [2229 - 2240]
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