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Methods for Localization in Multi-Scale Material Flow Simulation for Virtual Commissioning

A. Kienzlen, and A. Verl. 2024 4th International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME), (November 2024)
DOI: 10.1109/ICECCME62383.2024.10797016

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Annika Kienzlen University of Stuttgart

Annika Liebgott

Automated reference-free assessment of MR image quality using an active learning approach: Comparison of Support Vector Machine versus Deep Neural Network classificationS. Gatidis, A. Liebgott, M. Schwartz, P. Martirosian, F. Schick, K. Nikolaou, B. Yang, and T. Küstner. Proceedings of the International Society for Magnetic Resonance in Medicine (ISMRM), Honolulu, Hawaii, USA, (April 2017)

Automated reference-free assessment of MR image quality using an active learning approach: Comparison of Support Vector Machine versus Deep Neural Network classificationS. Gatidis, A. Liebgott, M. Schwartz, P. Martirosian, F. Schick, K. Nikolaou, B. Yang, and T. Küstner. Proceedings of the International Society for Magnetic Resonance in Medicine (ISMRM), Honolulu, Hawaii, USA, (April 2017)An easy-to-use image labeling platform for automatic Magnetic Resonance Image Quality AssessmentT. Küstner, P. Wolf, M. Schwartz, A. Liebgott, F. Schick, S. Gatidis, and B. Yang. Proceedings of the IEEE International Symposium on Biomedical Imaging (ISBI), Melbourne, Australia, (April 2017)Automated image quality assessment in whole-body MRIS. Gatidis, A. Liebgott, H. Schmidt, N. Schwenzer, P. Martirosian, K. Nikolaou, F. Schick, B. Yang, and T. Küstner. Proceedings of the Radiological Society of North America (RSNA), Chicago, USA, (November 2016)

Annika Neubauer University of Stuttgart

Annika Ackermann University of Stuttgart

Annika Wagner University of Stuttgart

Other publications of authors with the same name

Simulative Optimierung der Steuerungsparameter eines Materialflusslayouts mit BandförderernA. Kienzlen, J. Weißen, A. Verl, and S. Göttlich. Forschung im Ingenieurwesen, (Oct 27, 2020)Recurrent Neural Network for Modelling a Contractive Soft ActuatorA. Kienzlen, M. Zuern, S. Kazemi, W. Xu, L. Cheng, M. Strommel, and A. Verl. ISR Europe 2023; 56th International Symposium on Robotics, page 419-425. (2023)A Signal-Based Approach to Switching Between Micro and Macro Material Flow Models for Production SystemsA. Kienzlen, and A. Verl. Production at the Leading Edge of Technology, page 491--501. Cham, Springer Nature Switzerland, (2024)Der Materialfluss des digitalen ZwillingsA. Verl, and A. Kienzlen. SPS Magazin, (October 2019)Generierung gekoppelter Materialflussmodelle : Einheitliche Basis für Materialfluss in der VIBNA. Kienzlen, and A. Verl. atp Magazin, (2024)Materialflusssimulation für die Virtuelle Inbetriebnahme in SteuerungsechtzeitS. Göttlich, S. Hoher, A. Verl, J. Weißen, and A. Kienzlen. page 121--140. Springer Berlin Heidelberg, Berlin, Heidelberg, (2024)KI ebnet den Weg für autonome KatheternavigationA. Kienzlen, and A. Verl. mt | medizintechnik, 143 (6): 10-16 (2023)Methods for Localization in Multi-Scale Material Flow Simulation for Virtual CommissioningA. Kienzlen, and A. Verl. 2024 4th International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME), (November 2024)Complex Physics with Graph Networks for Industrial Material Flow SimulationF. Jaensch, K. Herburger, E. Bobe, A. Csiszar, A. Kienzlen, and A. Verl. 16th CIRP Conference on Intelligent Computation in Manufacturing Engineering, 118, page 50-55. Elsevier, (2023)Predicting coupling signals in a material flow real-time co-simulation with a Kalman filterA. Kienzlen, C. Scheifele, and A. Verl. 88, page 9--14. Elsevier BV, (2020)