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Rüttgers, Alexander and Petrarolo, Anna (2022) ML for Rocket Combustion Data. Helmholtz AI Platform Evaluation, 5.-7. Okt. 2022, München, Deutschland.
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| Item URL in elib: | https://elib.dlr.de/188695/ | |||||||||
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| Document Type: | Conference or Workshop Item (Poster) | |||||||||
| Title: | ML for Rocket Combustion Data | |||||||||
| Authors: |
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| Date: | October 2022 | |||||||||
| Refereed publication: | No | |||||||||
| Open Access: | Yes | |||||||||
| Gold Open Access: | No | |||||||||
| In SCOPUS: | No | |||||||||
| In ISI Web of Science: | No | |||||||||
| Status: | Published | |||||||||
| Keywords: | Hybrid rocket, machine learning, clustering, anomaly detection, high-performance computing | |||||||||
| Event Title: | Helmholtz AI Platform Evaluation | |||||||||
| Event Location: | München, Deutschland | |||||||||
| Event Type: | Workshop | |||||||||
| Event Dates: | 5.-7. Okt. 2022 | |||||||||
| Organizer: | Helmholtz-Gemeinschaft | |||||||||
| HGF - Research field: | Aeronautics, Space and Transport | |||||||||
| HGF - Program: | Space | |||||||||
| HGF - Program Themes: | Space System Technology | |||||||||
| DLR - Research area: | Raumfahrt | |||||||||
| DLR - Program: | R SY - Space System Technology | |||||||||
| DLR - Research theme (Project): | R - Tasks SISTEC, R - Artificial Intelligence | |||||||||
| Location: | Köln-Porz | |||||||||
| Institutes and Institutions: | Institute for Software Technology > High-Performance Computing Institute of Space Propulsion > Spacecraft and Orbital Propulsion Institute for Software Technology | |||||||||
| Deposited By: | Rüttgers, Dr. Alexander | |||||||||
| Deposited On: | 27 Oct 2022 11:56 | |||||||||
| Last Modified: | 27 Oct 2022 11:56 |
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