Andreas Selmaier
Publications
2022
Artificial Intelligence‐Based Assistance System for Visual Inspection of X‐ray Scatter Grids
In: Sensors 22 (2022), Article No.: 811
ISSN: 1424-8220
DOI: 10.3390/s22030811
URL: https://www.mdpi.com/1424-8220/22/3/811
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2021
Reference Architecture and Agile Development Method for a Process-Driven Web Platform based on the BPMN-Standard and Process Engines
In: CIRPe (ed.): CIRPe 2021 Sustainable, resilient, and agile manufacturing and service operations: Lessons from COVID-19, 2021, p. 146--151 (9th CIRP Global Web Conference – Sustainable, resilient, and agile manufacturing and service operations : Lessons from COVID-19, Vol.Volume 103)
DOI: 10.1016/j.procir.2021.10.023
URL: https://www.sciencedirect.com/science/article/pii/S2212827121008647
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Semantic Segmentation of Multi-Channel Polycrystalline Structure Micrographs Using Convolutional Neural Networks
20th IEEE International Conference on Machine Learning and Applications (ICMLA) (, ELECTR NETWORK)
In: 20TH IEEE INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND APPLICATIONS (ICMLA 2021), NEW YORK: 2021
DOI: 10.1109/ICMLA52953.2021.00140
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Der Digitale Zwilling als echtzeitnahes Fertigungsabbild
19. ASIM-Fachtagung Simulation in Produktion und Logistik (Erlangen, 15. September 2021 - 17. September 2021)
In: Jörg Franke, Peter Schuderer (ed.): Simulation in Produktion und Logistik 2021, Göttingen: 2021
Open Access: https://cuvillier.de/de/shop/publications/8509-simulation-in-produktion-und-logistik-2021
URL: https://cuvillier.de/de/shop/publications/8509-simulation-in-produktion-und-logistik-2021
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Towards “Design for Interoperability” in the context of Systems Engineering
In: Procedia CIRP 96 (2021), p. 145-150
ISSN: 2212-8271
DOI: 10.1016/j.procir.2021.01.067
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2020
Potenziale zur Produktionsautomatisierung. Systematische Vorgehensweise zur Identifikation von Automatisierungsprojekten
In: wt Werkstattstechnik - Online 110 (2020), p. 597-601
ISSN: 1436-4980
URL: https://e-paper.vdi-fachmedien.de/webreader-v3/index.html#/2693/31
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Introduction of a comprehensive Structure Model for the Digital Twin in Manufacturing
DOI: 10.1109/ETFA46521.2020.9212030
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Anwendung etablierter Vorgehensweisen der Softwareentwicklung in der produzierenden Industrie. Systematische Methoden - Auswahl bei der Digitalisierung
In: wt Werkstattstechnik - Online 110 (2020), p. 226-230
ISSN: 1436-4980
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Systematische Methodenauswahl bei der Digitalisierung
In: Werkstattstechnik WT WERKSTATTSTECHNIK BD. 110 (2020) (2020), p. 226-230
ISSN: 1436-5006
URL: https://e-paper.vdi-fachmedien.de/werkstattstechnik/2020#01-04-2020
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The Digital Twin Concept in Industry – A Review and Systematization
DOI: 10.1109/ETFA46521.2020.9212089
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2019
Machine Learning in Production – Potentials, Challenges and Exemplary Applications
7th CIRP Global Web Conference – Towards shifted production value stream patterns through inference of data, models, and technology (CIRPe 2019) (Online, 16. October 2019 - 18. October 2019)
In: Procedia CIRP 2019
DOI: 10.1016/j.procir.2020.01.035
URL: https://www.sciencedirect.com/science/article/pii/S2212827120300445?via=ihub
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Simulationsgestützte Produktionsplanung flexibler Fertigungssysteme
In: wt Werkstattstechnik - Online wt-online 2019 (2019), p. Seite 240-247
ISSN: 1436-4980
URL: https://www.werkstattstechnik.de/wt/currentarticle.php?data[article_id]=91523
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Cross-Process Quality Analysis of X-ray Tubes for Medical Applications Using Machine Learning Techniques
In: Wulfsberg J., Hintze W., Behrens BA. (ed.): Production at the leading edge of technology, Berlin, Heidelberg: Springer Vieweg, 2019, p. 513-522
ISBN: 978-3-662-60417-5
DOI: 10.1007/978-3-662-60417-5_51
URL: https://link.springer.com/chapter/10.1007/978-3-662-60417-5_51
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