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ML-based multi-regional sensitivity assessment of ship NO2 ..:
, In:
2024 International Conference on Machine Intelligence for GeoAnalytics and Remote Sensing (MIGARS)
,
Kurchaba, Solomiia
;
Verbeek, Fons J.
;
van Vliet, Jasper
. - p. 1-3 , 2024
Link:
https://doi.org/10.1109/MIGARS61408.2024.10544836
RT T1 <cTitle>2024 International Conference on Machine Intelligence for GeoAnalytics and Remote Sensing (MIGARS)</cTitle>: T1 <Title>ML-based multi-regional sensitivity assessment of ship NO2 plumes detection using TROPOMI data</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10544836&Exemplar=1&LAN=DE A1 Kurchaba, Solomiia A1 Verbeek, Fons J. A1 van Vliet, Jasper A1 Veenman, Cor J. YR 2024 K1 Learning systems K1 Sensitivity K1 Merging K1 Asia K1 Europe K1 Machine learning K1 Marine vehicles K1 TROPOMI K1 sensitivity limits K1 machine learning K1 emissions K1 seagoing ships K1 NO2 SP 1 OP 3 LK http://dx.doi.org/https://doi.org/10.1109/MIGARS61408.2024.10544836 DO https://doi.org/10.1109/MIGARS61408.2024.10544836 SF ELIB - SuUB Bremen
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