Forensic air quality monitoring using a polynomial enhanced random forest regression framework

Forensic air quality monitoring using a polynomial enhanced random forest regression framework

Low-cost PM2.5 sensors utilized for air quality monitoring in industrial port regions are subject to non-linear optical interferences resulting from the hygro- scopic growth of aerosols. In the marine industrial environment of the Baton Rouge Industrial Corridor, these distortions p...