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  Computer Vision Deep Learning-Based Shattered Pellet Injection (SPI) Shard Tracking at ASDEX Upgrade

Illerhaus, J., Heinrich, P., Miah, M., Papp, G., Peherstorfer, T., Treutterer, W., et al. (2024). Computer Vision Deep Learning-Based Shattered Pellet Injection (SPI) Shard Tracking at ASDEX Upgrade. Poster presented at DPG-Frühjahrstagung 2024, Greifswald.

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Item Permalink: https://hdl.handle.net/21.11116/0000-000E-842F-9 Version Permalink: https://hdl.handle.net/21.11116/0000-000E-8430-6
Genre: Poster

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 Creators:
Illerhaus, J.1, 2, Author           
Heinrich, P.1, 2, Author                 
Miah, M.2, 3, Author           
Papp, G.3, Author                 
Peherstorfer, T.2, Author
Treutterer, W.1, Author                 
Sieglin, B.1, Author                 
Toussaint, U. von4, Author                 
Zohm, H.1, Author                 
Jenko, F.3, Author                 
ASDEX Upgrade Team, Max Planck Institute for Plasma Physics, Max Planck Society, Author              
Affiliations:
1Tokamak Scenario Development (E1), Max Planck Institute for Plasma Physics, Max Planck Society, ou_1856321              
2External Organizations, ou_persistent22              
3Tokamak Theory (TOK), Max Planck Institute for Plasma Physics, Max Planck Society, ou_1856309              
4Numerical Methods in Plasma Physics (NMPP), Max Planck Institute for Plasma Physics, Max Planck Society, ou_1856344              

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Language(s): eng - English
 Dates: 2023
 Publication Status: Submitted
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: -
 Degree: -

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Title: DPG-Frühjahrstagung 2024
Place of Event: Greifswald
Start-/End Date: 2024-02-26 - 2024-02-29

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Title: Verhandlungen der Deutschen Physikalischen Gesellschaft
  Other : Verhandl. DPG
Source Genre: Journal
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Publ. Info: Bad Honnef : DPG
Pages: - Volume / Issue: (VI) 59 (1) Sequence Number: P 25.19 Start / End Page: - Identifier: CoNE: https://pure.mpg.de/cone/journals/resource/04200195
ISSN: 0420-0195