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...

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Bibliographic Details
Published in:Atmospheric measurement techniques Vol. 14; no. 8; pp. 5637 - 5655
Main Authors: Nowack, Peer, Konstantinovskiy, Lev, Gardiner, Hannah, Cant, John
Format: Journal Article
Language:English
Published: Katlenburg-Lindau Copernicus GmbH 18.08.2021
Copernicus Publications
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ISSN:1867-1381, 1867-8548
Online Access:Get full text
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