Machine Learning Approach for Particle Matching, Tracing and Velocimetry with Self-Organizing Map: Application to Complex Plasmas-Reference-Cited by-同舟云学术

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Machine Learning Approach for Particle Matching, Tracing and Velocimetry with Self-Organizing Map: Application to Complex Plasmas

Published:2023-12-15 Issue: Volume: Page:839-844
ISSN:
Container-title:2023 International Conference on Machine Learning and Applications (ICMLA)
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Author:

Klein Max¹,Dormagen Niklas¹,Schmitz Andreas S.²,Thoma Markus H.²,Schwarz Mike¹

Affiliation:

1. NanoP, THM University of Applied Sciences,Giessen,D 35390

2. I. Institute of Physics. Justus Liebig University,Giessen,D 35392

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10459339/10459727/10460002.pdf?arnumber=10460002

Reference13 articles.

1. Plasmakristall-4: New complex (dusty) plasma laboratory on board the International Space Station

2. Plasmaphysik

3. Machine Learning Approach for Multi Particle Tracking in Complex Plasmas

4. The self-organizing map

5. A new neural network for particle-tracking velocimetry

Cited by 1 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. AI Algorithms for Plasma Particle Tracking;2024 31st International Conference on Mixed Design of Integrated Circuits and System (MIXDES);2024-06-27

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