7th Framework Programme for research, technological development and demonstration [ grant agreement no 308524 (CITI-SENSE)]

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7th Framework Programme for research, technological development and demonstration [ grant agreement no 308524 (CITI-SENSE)]

Authors

Publications

Low-processing data enrichment and calibration for PM2.5 low-cost sensors

Stojanović, Danka; Kleut, Duška; Davidović, Miloš; de Vito, Saverio; Jovašević-Stojanović, Milena; Bartonova, Alena; Lepioufle, Jean-Marie

(2023) 

TY  - JOUR
AU  - Stojanović, Danka
AU  - Kleut, Duška
AU  - Davidović, Miloš
AU  - de Vito, Saverio
AU  - Jovašević-Stojanović, Milena
AU  - Bartonova, Alena
AU  - Lepioufle, Jean-Marie
PY  - 2023
UR  - https://vinar.vin.bg.ac.rs/handle/123456789/12957
AB  - 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.
T2  - Thermal Science
T1  - Low-processing data enrichment and calibration for PM2.5 low-cost sensors
VL  - 27
IS  - 3 Part B
SP  - 2229
EP  - 2240
DO  - 10.2298/TSCI221109221S
ER  - 
@article{
author = "Stojanović, Danka and Kleut, Duška and Davidović, Miloš and de Vito, Saverio and Jovašević-Stojanović, Milena and Bartonova, Alena and Lepioufle, Jean-Marie",
year = "2023",
abstract = "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.",
journal = "Thermal Science",
title = "Low-processing data enrichment and calibration for PM2.5 low-cost sensors",
volume = "27",
number = "3 Part B",
pages = "2229-2240",
doi = "10.2298/TSCI221109221S"
}
Stojanović, D., Kleut, D., Davidović, M., de Vito, S., Jovašević-Stojanović, M., Bartonova, A.,& Lepioufle, J.. (2023). Low-processing data enrichment and calibration for PM2.5 low-cost sensors. in Thermal Science, 27(3 Part B), 2229-2240.
https://doi.org/10.2298/TSCI221109221S
Stojanović D, Kleut D, Davidović M, de Vito S, Jovašević-Stojanović M, Bartonova A, Lepioufle J. Low-processing data enrichment and calibration for PM2.5 low-cost sensors. in Thermal Science. 2023;27(3 Part B):2229-2240.
doi:10.2298/TSCI221109221S .
Stojanović, Danka, Kleut, Duška, Davidović, Miloš, de Vito, Saverio, Jovašević-Stojanović, Milena, Bartonova, Alena, Lepioufle, Jean-Marie, "Low-processing data enrichment and calibration for PM2.5 low-cost sensors" in Thermal Science, 27, no. 3 Part B (2023):2229-2240,
https://doi.org/10.2298/TSCI221109221S . .
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