Using advanced technologies to process data measured by a PM sensor
Air pollution represents a significant problem for many cities around the world. Particulate matter pollution affects the population’s health and environment. This study aims to use methods of exploratory and predictive data analysis for particulate matter concentrations by applying artificial intel...
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| Veröffentlicht in: | AIP conference proceedings 2024-05, Vol.3181 (1) |
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| creator | Udristioiu, M. T. Dudáš, A. Michalíková, A. Škrinárová, J. Raganová, J. Hruška, M. Pfefferová, M. Spodniaková Raykova, J. Yldizhan, H. Petrisor, I. Buligiu, I. Stoyanova, D. Aksay, B. |
| description | Air pollution represents a significant problem for many cities around the world. Particulate matter pollution affects the population’s health and environment. This study aims to use methods of exploratory and predictive data analysis for particulate matter concentrations by applying artificial intelligence techniques to a set of data given by a particulate matter sensor between September 9, 2021, and October 1, 2022. The sensor is placed in Craiova City, Romania, and measures three meteorological parameters (temperature, pressure, relative humidity) and three particulate matter concentrations. This study aims to apply methods like linear and polynomial regression to find correlations between variables. |
| doi_str_mv | 10.1063/5.0215439 |
| format | Article |
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| fulltext | fulltext |
| identifier | ISSN: 0094-243X |
| ispartof | AIP conference proceedings, 2024-05, Vol.3181 (1) |
| issn | 0094-243X 1551-7616 |
| language | eng |
| recordid | cdi_scitation_primary_10_1063_5_0215439 |
| source | AIP Journals Complete |
| subjects | Artificial intelligence Cities Data analysis Meteorological parameters Particulate emissions Polynomials Relative humidity |
| title | Using advanced technologies to process data measured by a PM sensor |
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