1D-CNN Network Based Real-Time Aerosol Particle Classification With Single-Particle Mass Spectrometry

Author:

Wang Guanzhong1ORCID,Ruser Heinrich1ORCID,Schade Julian2,Passig Johannes3,Adam Thomas2,Dollinger Günther1,Zimmermann Ralf3

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. Joint Mass Spectrometry Centre, Chair of Analytical Chemistry, University of Rostock, Rostock, Germany

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Cited by 5 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

3. Real-time particle analysis of explosives compounds using single-particle mass spectrometry;Next-Generation Spectroscopic Technologies XVI;2024-06-07

4. Peak Pattern Classification in Mass Spectrometer Data using Deep Learning Techniques;2024 International Conference on Electronics, Computing, Communication and Control Technology (ICECCC);2024-05-02

5. CNN-Based Aerosol Particle Classification Using 2D Representations of Single-Particle Mass Spectrometer Data;2024 International Conference on Artificial Intelligence in Information and Communication (ICAIIC);2024-02-19

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