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Ranganarsimhaiah, Arun and Brauer, Christoph (2022) Informed Machine Learning for Leakage Detection. DLR-Interner Bericht. DLR-IB-FA-SD-2022-140. Student thesis. TU Braunschweig. 20 S.
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| Item URL in elib: | https://elib.dlr.de/189760/ | ||||||||||||
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| Document Type: | Monograph (DLR-Interner Bericht, Student thesis) | ||||||||||||
| Title: | Informed Machine Learning for Leakage Detection | ||||||||||||
| Authors: |
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| Date: | 31 August 2022 | ||||||||||||
| Refereed publication: | No | ||||||||||||
| Open Access: | No | ||||||||||||
| Number of Pages: | 20 | ||||||||||||
| Status: | Published | ||||||||||||
| Keywords: | Leakage Detection, Informed Machine Learning, Deep Learning | ||||||||||||
| Institution: | TU Braunschweig | ||||||||||||
| HGF - Research field: | Aeronautics, Space and Transport | ||||||||||||
| HGF - Program: | Aeronautics | ||||||||||||
| HGF - Program Themes: | Components and Systems | ||||||||||||
| DLR - Research area: | Aeronautics | ||||||||||||
| DLR - Program: | L CS - Components and Systems | ||||||||||||
| DLR - Research theme (Project): | L - Production Technologies | ||||||||||||
| Location: | Stade | ||||||||||||
| Institutes and Institutions: | Institute of Composite Structures and Adaptive Systems > Composite Process Technology | ||||||||||||
| Deposited By: | Schlegel, Linda | ||||||||||||
| Deposited On: | 01 Dec 2022 09:04 | ||||||||||||
| Last Modified: | 01 Dec 2022 09:04 |
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