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MPI-Parallel Machine Learning Algorithms for the Analysis of High-Speed Video Data

Rüttgers, Alexander and Petrarolo, Anna and Knechtges, Philipp (2022) MPI-Parallel Machine Learning Algorithms for the Analysis of High-Speed Video Data. ECCOMAS Congress 2022, 5.-9. Juni 2022, Oslo, Norwegen.

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Item URL in elib:https://elib.dlr.de/187065/
Document Type:Conference or Workshop Item (Speech)
Title:MPI-Parallel Machine Learning Algorithms for the Analysis of High-Speed Video Data
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Rüttgers, AlexanderAlexander.Ruettgers (at) dlr.dehttps://orcid.org/0000-0001-6347-9272
Petrarolo, AnnaAnna.Petrarolo (at) dlr.dehttps://orcid.org/0000-0002-2291-2874
Knechtges, PhilippPhilipp.Knechtges (at) dlr.dehttps://orcid.org/0000-0002-4849-0593
Date:2022
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:Machine Learning, HPDA, Data Mining, Clustering, Anomaly Detection, HPC, MPI
Event Title:ECCOMAS Congress 2022
Event Location:Oslo, Norwegen
Event Type:international Conference
Event Dates:5.-9. Juni 2022
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 - Tasks SISTEC, R - Key technologies for high-energy return flights of the carrier stages (STORT)
Location: Köln-Porz
Institutes and Institutions:Institute for Software Technology > High-Performance Computing
Institute for Software Technology
Institute of Space Propulsion > Spacecraft and Orbital Propulsion
Deposited By: Rüttgers, Dr. Alexander
Deposited On:26 Jul 2022 15:36
Last Modified:26 Jul 2022 15:36

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