A machine learning approach to aerosol classification for single-particle mass spectrometry
Compositional analysis of atmospheric and laboratory aerosols is often conducted via single-particle mass spectrometry (SPMS), an in situ and real-time analytical technique that produces mass spectra on a single-particle basis. In this study, classifiers are created using a data set of SPMS spectra...
| Main Authors: | , , , |
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| Other Authors: | |
| Format: | Article |
| Language: | English |
| Published: |
Copernicus GmbH
2020
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| Online Access: | https://hdl.handle.net/1721.1/125295 |