Machine learning calibration of low-cost NO.sub.2 and PM.sub.10 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...

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Vydáno v:	Atmospheric measurement techniques Ročník 14; číslo 8; s. 5637 - 11273
Hlavní autoři:	Nowack, Peer, Konstantinovskiy, Lev, Gardiner, Hannah, Cant, John
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Copernicus GmbH 18.08.2021
Témata:	Algorithms Comparative analysis Data mining Economic aspects Machine learning Nitrogen dioxide Sensors
ISSN:	1867-1381
On-line přístup:	Získat plný text
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