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Concept of an Inference Procedure for Fault Detection in Production Planning

J. Spoor, J. Weber, S. Hagemann, F. Bäumer, in: Proceedings of the Fourteenth International Conference on Pervasive Patterns and Applications (PATTERNS 2022): Special Track AI-DRSWA: Maturing Artificial Intelligence - Data Science for Real-World Applications., 2022.

Konferenzbeitrag | Englisch
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Spoor, Jan; Weber, Jens; Hagemann, Simon; Bäumer, FrederikFH Bielefeld
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Titel des Konferenzbandes
Proceedings of the Fourteenth International Conference on Pervasive Patterns and Applications (PATTERNS 2022): Special Track AI-DRSWA: Maturing Artificial Intelligence - Data Science for Real-World Applications.
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Spoor, Jan ; Weber, Jens ; Hagemann, Simon ; Bäumer, Frederik: Concept of an Inference Procedure for Fault Detection in Production Planning. In: Proceedings of the Fourteenth International Conference on Pervasive Patterns and Applications (PATTERNS 2022): Special Track AI-DRSWA: Maturing Artificial Intelligence - Data Science for Real-World Applications., 2022
Spoor J, Weber J, Hagemann S, Bäumer F. Concept of an Inference Procedure for Fault Detection in Production Planning. In: Proceedings of the Fourteenth International Conference on Pervasive Patterns and Applications (PATTERNS 2022): Special Track AI-DRSWA: Maturing Artificial Intelligence - Data Science for Real-World Applications. ; 2022.
Spoor, J., Weber, J., Hagemann, S., & Bäumer, F. (2022). Concept of an Inference Procedure for Fault Detection in Production Planning. In Proceedings of the Fourteenth International Conference on Pervasive Patterns and Applications (PATTERNS 2022): Special Track AI-DRSWA: Maturing Artificial Intelligence - Data Science for Real-World Applications.
@inproceedings{Spoor_Weber_Hagemann_Bäumer_2022, title={Concept of an Inference Procedure for Fault Detection in Production Planning}, booktitle={Proceedings of the Fourteenth International Conference on Pervasive Patterns and Applications (PATTERNS 2022): Special Track AI-DRSWA: Maturing Artificial Intelligence - Data Science for Real-World Applications.}, author={Spoor, Jan and Weber, Jens and Hagemann, Simon and Bäumer, Frederik}, year={2022} }
Spoor, Jan, Jens Weber, Simon Hagemann, and Frederik Bäumer. “Concept of an Inference Procedure for Fault Detection in Production Planning.” In Proceedings of the Fourteenth International Conference on Pervasive Patterns and Applications (PATTERNS 2022): Special Track AI-DRSWA: Maturing Artificial Intelligence - Data Science for Real-World Applications., 2022.
J. Spoor, J. Weber, S. Hagemann, and F. Bäumer, “Concept of an Inference Procedure for Fault Detection in Production Planning,” in Proceedings of the Fourteenth International Conference on Pervasive Patterns and Applications (PATTERNS 2022): Special Track AI-DRSWA: Maturing Artificial Intelligence - Data Science for Real-World Applications., 2022.
Spoor, Jan, et al. “Concept of an Inference Procedure for Fault Detection in Production Planning.” Proceedings of the Fourteenth International Conference on Pervasive Patterns and Applications (PATTERNS 2022): Special Track AI-DRSWA: Maturing Artificial Intelligence - Data Science for Real-World Applications., 2022.

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