Q3313078 (Q3313078): Difference between revisions
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(Changed label, description and/or aliases in en: Setting new description) |
(Created claim: summary (P836): This project explores and evaluates processes in the field of machine learning for seamless implementation of augmented reality applications in an industrial context. For this purpose, existing data (PLM, CAD,...) are to be used for the creation of the applications., translated_summary) |
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This project explores and evaluates processes in the field of machine learning for seamless implementation of augmented reality applications in an industrial context. For this purpose, existing data (PLM, CAD,...) are to be used for the creation of the applications. (English) | |||||||||||||||
Property / summary: This project explores and evaluates processes in the field of machine learning for seamless implementation of augmented reality applications in an industrial context. For this purpose, existing data (PLM, CAD,...) are to be used for the creation of the applications. (English) / rank | |||||||||||||||
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Property / summary: This project explores and evaluates processes in the field of machine learning for seamless implementation of augmented reality applications in an industrial context. For this purpose, existing data (PLM, CAD,...) are to be used for the creation of the applications. (English) / qualifier | |||||||||||||||
point in time: 25 October 2021
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Revision as of 22:23, 24 October 2021
Project Q3313078 in Germany
Language | Label | Description | Also known as |
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English | No label defined |
Project Q3313078 in Germany |
Statements
107,038.78 Euro
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221,200.2 Euro
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48.39 percent
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1 June 2018
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31 July 2021
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Technische Universität Kaiserslautern
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67663
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In diesem Projekt werden Verfahren aus dem Bereich Maschinelles Lernen zu nahtlosen Umsetzung von Augmented-Reality Anwendungen im industriellen Kontext erforscht und evaluiert. Hierfür sollen bereits existierende Daten (PLM, CAD, ...) für Erstellung der Anwendungen verwertet werden. (German)
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This project explores and evaluates processes in the field of machine learning for seamless implementation of augmented reality applications in an industrial context. For this purpose, existing data (PLM, CAD,...) are to be used for the creation of the applications. (English)
25 October 2021
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Kaiserslautern, Kreisfreie Stadt
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Identifiers
DE_TEMPORARY_15865
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