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A Novel Approach to Flight Phase Identification using Machine Learning

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/
Document Type:Monograph (DLR-Interner Bericht, Master's)
Title:A Novel Approach to Flight Phase Identification using Machine Learning
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Arts, EmyEmy.Arts (at) dlr.deUNSPECIFIED
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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