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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