Machine learning calibration of low-cost NO2 and PM10 sensors: non-linear algorithms and their impact on site transferability
Low-cost air pollution sensors often fail to attain sufficient performance compared with state-of-the-art measurement stations, and they typically require expensive laboratory-based calibration procedures. A repeatedly proposed strategy to overcome these limitations is calibration through co-locatio...
Uložené v:
| Vydané v: | Atmospheric measurement techniques Ročník 14; číslo 8; s. 5637 - 5655 |
|---|---|
| Hlavní autori: | , , , |
| Médium: | Journal Article |
| Jazyk: | English |
| Vydavateľské údaje: |
Katlenburg-Lindau
Copernicus GmbH
18.08.2021
Copernicus Publications |
| Predmet: | |
| ISSN: | 1867-1381, 1867-8548 |
| On-line prístup: | Získať plný text |
| Tagy: |
Pridať tag
Žiadne tagy, Buďte prvý, kto otaguje tento záznam!
|
Buďte prvý, kto okomentuje tento záznam!