CNN-Based Aerosol Particle Classification Using 2D Representations of Single-Particle Mass Spectrometer Data-Reference-Cited by-同舟云学术

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CNN-Based Aerosol Particle Classification Using 2D Representations of Single-Particle Mass Spectrometer Data

Published:2024-02-19 Issue: Volume: Page:1-6
ISSN:
Container-title:2024 International Conference on Artificial Intelligence in Information and Communication (ICAIIC)
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Author:

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

Affiliation:

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

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

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

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10463165/10463194/10463253.pdf?arnumber=10463253

Reference26 articles.

1. Spatial and Temporal Variation in PM 2.5 Chemical Composition in the United States for Health Effects Studies

2. Shipping emissions associated with increased cardiovascular hospitalizations

3. Mass Spectrometry Analysis in Atmospheric Chemistry

4. Mass spectrometry of atmospheric aerosols-Recent developments and applications. Part II: On-line mass spectrometry techniques

5. Laser Ionization in Single-Particle Mass Spectrometry;Passig,2021

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Fuzzy Convolutional Neural Network for the Classification of Aerosol Particle Mass Spectral Patterns Generated by Single-Particle Mass Spectrometry;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30

2. Rapid Classification Of Aerosol Particle Mass Spectra Using Data Augmentation And Deep Learning;2024 IEEE Conference on Artificial Intelligence (CAI);2024-06-25

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