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Comparison of clustering techniques for hybrid rocket fuel combustion data

Rüttgers, Alexander and Debus, Charlotte and Siggel, Martin and Petrarolo, Anna and Kobald, Mario (2020) Comparison of clustering techniques for hybrid rocket fuel combustion data. In: International Workshop on Scientific Machine Learning. International Workshop on Scientific Machine Learning, 2020-01-08 - 2020-01-10, Köln, Deutschland.

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Item URL in elib:https://elib.dlr.de/133467/
Document Type:Conference or Workshop Item (Speech)
Title:Comparison of clustering techniques for hybrid rocket fuel combustion data
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Rüttgers, AlexanderUNSPECIFIEDhttps://orcid.org/0000-0001-6347-9272UNSPECIFIED
Debus, CharlotteUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Siggel, MartinUNSPECIFIEDhttps://orcid.org/0000-0002-3952-4659UNSPECIFIED
Petrarolo, AnnaUNSPECIFIEDhttps://orcid.org/0000-0002-2291-2874UNSPECIFIED
Kobald, MarioUNSPECIFIEDhttps://orcid.org/0000-0002-1708-3944UNSPECIFIED
Date:2020
Journal or Publication Title:International Workshop on Scientific Machine Learning
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:clustering, rocket combustion data, hybrid rockets, machine learning
Event Title:International Workshop on Scientific Machine Learning
Event Location:Köln, Deutschland
Event Type:international Conference
Event Start Date:8 January 2020
Event End Date:10 January 2020
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Space System Technology
DLR - Research area:Raumfahrt
DLR - Program:R SY - Space System Technology
DLR - Research theme (Project):R - Vorhaben SISTEC (old)
Location: Köln-Porz
Institutes and Institutions:Institut of Simulation and Software Technology > High Performance Computing
Institut of Simulation and Software Technology
Deposited By: Rüttgers, Dr. Alexander
Deposited On:14 Jan 2020 09:36
Last Modified:24 Apr 2024 20:36

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