Machine learning calibration of low-cost NO2 and PM10 sensors: non-linear algorithms and their impact on site transferability - Nowack, Peer; Konstantinovskiy, Lev; Gardiner, Hannah; Cant, John (Atmospheric measurement techniques, 2021)
Keywords: Air pollution; Air pollution measurements; Algorithms; Calibration; Costs; Extrapolation; Gaussian process; Humidity; Laboratories; Learning algorithms; Limiting factors; Low cost; Machine learning; Measurement; Methods; Nitrogen dioxide; Particulate emissions; Particulate matter; Performance evaluation; Pollutants; Pollution levels; Regression; Regression analysis; Relocation; Sensors; Stations; Statistical analysis; Suspended particulate matter; Training; Urban areas