Application of machine learning and statistical modeling to identify sources of air pollutant levels in Kitchener, Ontario, Canada

Machine learning is used across many disciplines to identify complex relations between outcomes and numerous potential predictors. In the case of air quality research in heavily populated urban centers, such techniques were used to correlate the impacts of Traffic-Related Air Pollutants (TRAP) on vu...

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Veröffentlicht in:Environmental science: atmospheres 2022-11, Vol.2 (6), p.1389-1399
Hauptverfasser: Mohammed, Wisam, Adamescu, Adrian, Neil, Lucas, Shantz, Nicole, Townend, Tom, Lysy, Martin, Al-Abadleh, Hind A
Format: Artikel
Sprache:eng
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