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Number of items: 12.

Theobald, Nina ; Biegel, Tobias ; Steinebach, Tim ; Joisten, Philip
ed.: GfA (2024)
Nutzerzentrierte Evaluation einer Mensch-Maschine-Schnittstelle zur KI-basierten multivariaten statistischen In-Prozess Kontrolle in der Fertigung.
70. GfA-Frühjahrskongress. Stuttgart (06.-08.03.2024)
Conference or Workshop Item, Bibliographie

Biegel, Tobias (2023)
A self-supervised learning approach for multivariate statistical in-process control in discrete manufacturing processes.
Technische Universität Darmstadt
doi: 10.26083/tuprints-00026455
Ph.D. Thesis, Primary publication, Publisher's Version

Ellenrieder, Sara ; Jourdan, Nicolas ; Biegel, Tobias ; Bretones Cassoli, Beatriz ; Metternich, Joachim ; Buxmann, Peter (2023)
Toward the sustainable development of machine learning applications in Industry 4.0.
European Conference on Information Systems (ECIS 2023). Kristiansand, Norwegen (11.-16. Juni 2023)
Conference or Workshop Item, Bibliographie

Biegel, Tobias ; Jourdan, Nicolas ; Madreiter, Theresa ; Kohl, Linus ; Fahle, Simon ; Ansari, Fazel ; Kuhlenkötter, Bernd ; Metternich, Joachim (2022)
Combining Process Monitoring with Text Mining for Anomaly Detection in Discrete Manufacturing.
doi: 10.2139/ssrn.4073942
Conference or Workshop Item, Bibliographie

Biegel, Tobias ; Jourdan, Nicolas ; Hernandez, Carlos ; Cviko, Amir ; Metternich, Joachim (2022)
Deep learning for multivariate statistical in-process control in discrete manufacturing: A case study in a sheet metal forming process.
In: Procedia CIRP, 107
doi: 10.1016/j.procir.2022.05.002
Article, Bibliographie

Jourdan, Nicolas ; Biegel, Tobias ; Knauthe, Volker ; Buelow, Max von ; Guthe, Stefan ; Metternich, Joachim (2022)
A computer vision system for saw blade condition monitoring.
In: Procedia CIRP, 2022, 104
doi: 10.26083/tuprints-00021265
Article, Secondary publication, Publisher's Version

Rosemeyer, Jannik ; Bretones Cassoli, Beatriz ; Jourdan, Nicolas ; Biegel, Tobias ; Hoffmann, Felix ; Ziegenbein, Amina (2021)
Künstliche Intelligenz für KMU: Ein Leitfaden zur Einführung von KI im Produktionsumfeld.
In: INDUSTRIE 4.0 & IIoT-MAGAZIN, 2021 (24)
Article, Bibliographie

Jourdan, Nicolas ; Sen, Sagar ; Husom, Erik Johannes ; Garcia-Ceja, Enrique ; Biegel, Tobias ; Metternich, Joachim (2021)
On The Reliability Of Machine Learning Applications In Manufacturing Environments.
35th Conference on Neural Information Processing Systems (NeurIPS 2021). Virtual Only (06.12.-14.12.2021)
Conference or Workshop Item, Bibliographie

Metternich, Joachim ; Biegel, Tobias ; Bretones Cassoli, Beatriz ; Hoffmann, Felix ; Jourdan, Nicolas ; Rosemeyer, Jannik ; Stanula, Patrick ; Ziegenbein, Amina
eds.: Forschungsbeirat der Forschungsbeirat der Plattform Industrie 4.0, acatech – Deutsche Akademie der Technik wissenschaften (2021)
Künstliche Intelligenz zur Umsetzung von Industrie 4.0 im Mittelstand : Expertise des Forschungsbeirats der Plattform Industrie 4.0.
Report, Bibliographie

Jourdan, Nicolas ; Longard, Lukas ; Biegel, Tobias ; Metternich, Joachim
eds.: Herberger, D. ; Hübner, M. (2021)
Machine Learning For Intelligent Maintenance And Quality Control: A Review Of Existing Datasets And Corresponding Use Cases.
2nd Conference on Production Systems and Logistics (CPSL 2021). online (10.-11.08.2021)
doi: 10.15488/11280
Conference or Workshop Item, Bibliographie

Biegel, Tobias ; Bretones Cassoli, Beatriz ; Hoffmann, Felix ; Jourdan, Nicolas ; Metternich, Joachim (2021)
An AI Management Model for the Manufacturing Industry - AIMM.
doi: 10.26083/tuprints-00019038
Report, Primary publication, Publisher's Version

Jourdan, Nicolas ; Biegel, Tobias ; Knauthe, Volker ; von Buelow, Max ; Guthe, Stefan ; Metternich, Joachim (2021)
A computer vision system for saw blade condition monitoring.
54th CIRP Conference on Manufacturing Systems. virtual Conference (22.-24.09.2021)
doi: 10.1016/j.procir.2021.11.186
Conference or Workshop Item, Bibliographie

This list was generated on Tue Apr 23 00:43:45 2024 CEST.