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1 Ergebnisse
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Machine learning calibration of low-cost NO2 and PM10 senso..:
Nowack, Peer
;
Konstantinovskiy, Lev
;
Gardiner, Hannah
.
Atmospheric Measurement Techniques -- http://www.bibliothek.uni-regensburg.de/ezeit/?2505596 -- http://www.atmospheric-measurement-techniques.net/ -- 1867-8548. , 2021
Link:
https://doi.org/10.5194/amt-14-5637-2021
RT Journal T1 <Title>Machine learning calibration of low-cost NO2 and PM10 sensors: non-linear algorithms and their impact on site transferability</Title> UL https://suche.suub.uni-bremen.de/peid=base-ftnonlinearchiv:oai:noa.gwlb.de:cop_mods_00057799&Exemplar=1&LAN=DE A1 Nowack, Peer A1 Konstantinovskiy, Lev A1 Gardiner, Hannah A1 Cant, John PB Copernicus Publications YR 2021 K1 article K1 Verlagsveröffentlichung JF Atmospheric Measurement Techniques -- http://www.bibliothek.uni-regensburg.de/ezeit/?2505596 -- http://www.atmospheric-measurement-techniques.net/ -- 1867-8548 LK http://dx.doi.org/https://doi.org/10.5194/amt-14-5637-2021 DO https://doi.org/10.5194/amt-14-5637-2021 SF ELIB - SuUB Bremen
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