Rapid Classification Of Aerosol Particle Mass Spectra Using Data Augmentation And Deep Learning-Reference-Cited by-同舟云学术

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Rapid Classification Of Aerosol Particle Mass Spectra Using Data Augmentation And Deep Learning

Published:2024-06-25 Issue: Volume: Page:1167-1172
ISSN:
Container-title:2024 IEEE Conference on Artificial Intelligence (CAI)
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Author:

Wang Guanzhong¹,Ruser Heinrich¹,Schade Julian²,Passig Johannes³,Zimmermann Ralf³,Dollinger Günther¹,Adam Thomas²

Affiliation:

1. University of the Bundeswehr Munich,Institute for Applied Physics and Measurement Technology,Neubiberg,Germany

2. University of the Bundeswehr Munich,Institute of Chemistry and Environmental Engineering,Neubiberg,Germany

3. University of Rostock,Joint Mass Spectrometry Centre,Rostock,Germany

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10605128/10605229/10605430.pdf?arnumber=10605430

Reference26 articles.

1. Single particle analysis of suspended soil dust from Southern California

2. Improved identification of primary biological aerosol particles using single-particle mass spectrometry

3. Single-particle mass spectrometry of tropospheric aerosol particles

4. On the simultaneous deployment of two single-particle mass spectrometers at an urban background and a roadside site during SAPUSS

5. Determination of Single Particle Mass Spectral Signatures from Light-Duty Vehicle Emissions

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