Rüttgers, Alexander and Petrarolo, Anna (2022) ML for Rocket Combustion Data. Helmholtz AI Platform Evaluation, 2022-10-05 - 2022-10-07, 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 Start Date: | 5 October 2022 | ||||||||||||
Event End Date: | 7 October 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 of Software Technology > High-Performance Computing Institute of Space Propulsion > Spacecraft and Orbital Propulsion Institute of Software Technology | ||||||||||||
Deposited By: | Rüttgers, Dr. Alexander | ||||||||||||
Deposited On: | 27 Oct 2022 11:56 | ||||||||||||
Last Modified: | 24 Apr 2024 20:50 |
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