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Einbindung von TensorFlow-Modellen in eine industriell genutzte C++-Software

Schönlebe, Emelie (2025) Einbindung von TensorFlow-Modellen in eine industriell genutzte C++-Software. Bachelor's, Dual Hochschule Baden-Württenberg.

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Item URL in elib:https://elib.dlr.de/222755/
Document Type:Thesis (Bachelor's)
Title:Einbindung von TensorFlow-Modellen in eine industriell genutzte C++-Software
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Schönlebe, EmelieDHBWUNSPECIFIEDUNSPECIFIED
DLR Supervisors:
ContributionDLR SupervisorInstitution or E-MailDLR Supervisor's ORCID iD
Thesis advisorGuerin, SebastienSebastien.Guerin (at) dlr.deUNSPECIFIED
Date:2025
Open Access:No
Number of Pages:68
Status:Published
Keywords:Machine Learning, TensorFlow, PropNoise
Institution:Dual Hochschule Baden-Württenberg
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Aeronautics
HGF - Program Themes:Clean Propulsion
DLR - Research area:Aeronautics
DLR - Program:L CP - Clean Propulsion
DLR - Research theme (Project):L - Virtual Engine
Location: Berlin-Charlottenburg
Institutes and Institutions:Institute of Propulsion Technology > Engine Acoustic
Deposited By: Guerin, Sebastien
Deposited On:11 Feb 2026 11:10
Last Modified:11 Feb 2026 11:10

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