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 and Cant, John (2021) Machine learning calibration of low-cost NO2 and PM10 sensors: non-linear algorithms and their impact on site transferability. Atmospheric Measurement Techniques. ISSN 1867-1381 (In Press)

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Item Type: Article
Uncontrolled Keywords: air pollution,low-cost sensors,machine learning,calibration,atmospheric chemistry,nitrogen dioxide,particulate matter,air quality,measurement techniques
Faculty \ School: Faculty of Science > School of Environmental Sciences
Depositing User: LivePure Connector
Date Deposited: 15 Jul 2021 00:19
Last Modified: 15 Jul 2021 00:19
URI: https://ueaeprints.uea.ac.uk/id/eprint/80578
DOI:

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