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Arts, Emy (2021) A Novel Approach to Flight Phase Identification using Machine Learning. DLR-Interner Bericht. DLR-IB-MO-HF-2021-62. Master's. Universität Hamburg.
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| Item URL in elib: | https://elib.dlr.de/141738/ | ||||||
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| Document Type: | Monograph (DLR-Interner Bericht, Master's) | ||||||
| Title: | A Novel Approach to Flight Phase Identification using Machine Learning | ||||||
| Authors: |
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| Date: | 2021 | ||||||
| Refereed publication: | Yes | ||||||
| Open Access: | Yes | ||||||
| Gold Open Access: | No | ||||||
| In SCOPUS: | No | ||||||
| In ISI Web of Science: | No | ||||||
| Status: | Published | ||||||
| Keywords: | Flight Phase, Machine Learning, Long Short-Term Memory, K-means, ADS-B | ||||||
| Institution: | Universität Hamburg | ||||||
| Department: | Department of Informatics | ||||||
| HGF - Research field: | Aeronautics, Space and Transport | ||||||
| HGF - Program: | Aeronautics | ||||||
| HGF - Program Themes: | Efficient Vehicle | ||||||
| DLR - Research area: | Aeronautics | ||||||
| DLR - Program: | L EV - Efficient Vehicle | ||||||
| DLR - Research theme (Project): | L - Digital Technologies | ||||||
| Location: | Hamburg | ||||||
| Institutes and Institutions: | Institute of Maintenance, Repair and Overhaul > Process Optimisation and Digitalisation | ||||||
| Deposited By: | Arts, Emy | ||||||
| Deposited On: | 19 Apr 2021 07:13 | ||||||
| Last Modified: | 19 Apr 2021 07:13 |
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