Jose, Basil and Hampp, Fabian (2024) ML-based diagnostics on experimental data. Measurement and observation techniques for aerospace research (MOTAR), 2024-06-04 - 2024-06-05, Göttingen.
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| Item URL in elib: | https://elib.dlr.de/212846/ | ||||||||||||
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| Document Type: | Conference or Workshop Item (Speech) | ||||||||||||
| Title: | ML-based diagnostics on experimental data | ||||||||||||
| Authors: |
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| Date: | 2024 | ||||||||||||
| Refereed publication: | No | ||||||||||||
| Open Access: | No | ||||||||||||
| Gold Open Access: | No | ||||||||||||
| In SCOPUS: | No | ||||||||||||
| In ISI Web of Science: | No | ||||||||||||
| Status: | Published | ||||||||||||
| Keywords: | machine learning, pattern recognition, combustion diagnostics | ||||||||||||
| Event Title: | Measurement and observation techniques for aerospace research (MOTAR) | ||||||||||||
| Event Location: | Göttingen | ||||||||||||
| Event Type: | Workshop | ||||||||||||
| Event Start Date: | 4 June 2024 | ||||||||||||
| Event End Date: | 5 June 2024 | ||||||||||||
| Organizer: | DLR | ||||||||||||
| HGF - Research field: | Energy | ||||||||||||
| HGF - Program: | Materials and Technologies for the Energy Transition | ||||||||||||
| HGF - Program Themes: | High-Temperature Thermal Technologies | ||||||||||||
| DLR - Research area: | Energy | ||||||||||||
| DLR - Program: | E VS - Combustion Systems | ||||||||||||
| DLR - Research theme (Project): | E - Combustion and Power Plant Systems, L - Components and Emissions | ||||||||||||
| Location: | Stuttgart | ||||||||||||
| Institutes and Institutions: | Institute of Combustion Technology > Combustion Diagnostícs | ||||||||||||
| Deposited By: | Geigle, Dr. Klaus Peter | ||||||||||||
| Deposited On: | 20 Feb 2025 09:29 | ||||||||||||
| Last Modified: | 20 Feb 2025 09:29 |
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