Florian Stamer

Prof. Dr.-Ing.

  1. A Framework for Anomaly Classification and Segmentation in Remanufacturing using Autoencoders and Simulated Data

    Kaiser, J. P., Enslin, C. L., Barczak, E. T., Stamer, F., Heizmann, M. & Lanza, G., 2024, in: Procedia CIRP. 126, S. 1005-1010 6 S.

    Publikation: Beiträge in ZeitschriftenKonferenzaufsätze in FachzeitschriftenForschungbegutachtet

  2. A development approach for a standardized quality data model using asset administration shell technology in the context of autonomous quality control loops for manufacturing processes

    Bilen, A., Stamer, F., May, M. C. & Lanza, G., 2023, European Society for Precision Engineering and Nanotechnology: Conference Proceedings - 23rd International Conference and Exhibition, EUSPEN 2023. Riemer, O., Nisbet, C. & Phillips, D. (Hrsg.). European Society for Precision Engineering and Nanotechnology, S. 443-446 4 S. (European Society for Precision Engineering and Nanotechnology, Conference Proceedings - 23rd International Conference and Exhibition, EUSPEN 2023).

    Publikation: Beiträge in SammelwerkenAufsätze in KonferenzbändenForschungbegutachtet

  3. Adaptive and Dynamic Feedback Loops between Production System and Production Network based on the Asset Administration Shell

    Stamer, F., Maier, S., Peukert, S. & Lanza, G., 2022, in: Procedia CIRP. 112, S. 79-84 6 S.

    Publikation: Beiträge in ZeitschriftenKonferenzaufsätze in FachzeitschriftenForschungbegutachtet

  4. Adaptive acquisition planning for visual inspection in remanufacturing using reinforcement learning

    Kaiser, J. P., Gäbele, J., Koch, D., Schmid, J., Stamer, F. & Lanza, G., 2024, (Angenommen/Im Druck) in: Journal of Intelligent Manufacturing. 27 S.

    Publikation: Beiträge in ZeitschriftenZeitschriftenaufsätzeForschungbegutachtet

Vorherige 1 2 3 4 Nächste

Zuletzt angesehen