Street-level Air Quality Inference Based on Geographically Context-aware Random Forest Using Opportunistic Mobile Sensor Network

Qin, XueningXueningQinHuu, Tien DoTien DoHuuHofman, JelleJelleHofmanRodrigo, EstherEstherRodrigoPanzica La Manna, ValerioValerioPanzica La MannaDeligiannis, NikolaosNikolaosDeligiannisPhilips, WilfriedWilfriedPhilips2022-05-042022-04-212022-05-042021naWOS:000777584200036https://imec-publications.be/handle/20.500.12860/39645Street-level Air Quality Inference Based on Geographically Context-aware Random Forest Using Opportunistic Mobile Sensor NetworkProceedings paper10.1145/3461353.3461370978-1-4503-8863-4WOS:000777584200036ULTRAFINE PARTICLESSPATIAL VARIATIONBLACK CARBONPOLLUTIONEXPOSURECHINAMODEL