This image shows Hannes Vietz

Hannes Vietz

M.Sc.

Academic staff
Institute of Industrial Automation and Software Engineering

Contact

+49 711 685 67294
+49 711 685 67302

Pfaffenwaldring 47
70550 Stuttgart
Germany
Room: 1.114

Journals and conferences:
  1. 2022

    1. H. Vietz, A. Löcklin, H. Ben Haj Ammar, and M. Weyrich, “Deep learning-based 5G indoor positioning in a manufacturing environment,” in 2022 IEEE 27th International Conference on Emerging Technologies and Factory Automation (ETFA), September 2022, 2022.
    2. B. Maschler, T. Hasan, C. Bitter, H. Vietz, T. Meisen, and M. Weyrich, “Industrielles Transfer-Lernen - Von der Wissenschaft in die Praxis,” atp-Magazin, August 2022, pp.86-93, Juni 2022, 2022.
    3. B. Maschler, H. Vietz, H. Tercan, C. Bitter, T. Meisen, and M. Weyrich, “Insights and Example Use Cases on Industrial Transfer Learning,” in 55th CIRP Conference on Manufacturing Systems (CIRP CMS), Lugano, Switzerland, 29. Juni 2022, 2022.
    4. H. Vietz, T. Rauch, and M. Weyrich, “Synthetic Training Data Generation for Convolutional Neural Networks in Vision Applications,” in 2022 IEEE 27th International Conference on Emerging Technologies and Factory Automation (ETFA), 2022.
    5. A. Löcklin, M. Artelt, T. Ruppert, H. Vietz, N. Jazdi, and M. Weyrich, “Trajectory Prediction of Moving Workers for Autonomous Mobile Robots on the Shop Floor,” in 2022 IEEE 27th International Conference on Emerging Technologies and Factory Automation (ETFA), September 2022, 2022.
  2. 2021

    1. H. Vietz, T. Rauch, A. Löcklin, N. Jazdi, and M. Weyrich, “A Methodology to Identify Cognition Gaps in Visual Recognition Applications Based on Convolutional Neural Network,” in 2021 IEEE 17th International Conference on Automation Science and Engineering (CASE), Lyon, France, 23-27 August 2021, 2021, pp. 2045–2050.
    2. A. Löcklin, H. Vietz, D. White, T. Ruppert, N. Jazdi, and M. Weyrich, “Data administration shell for data-science-driven development,” Procedia CIRP, vol. 100, pp. 115-120, Mai 2021, 2021.
  3. 2020

    1. B. Lindemann, T. Müller, H. Vietz, N. Jazdi, and M. Weyrich, “A Survey on Long Short-Term Memory Networks for Time Series Prediction,” in 14th CIRP Conference on Intelligent Computation in Manufacturing Engineering CIRP ICME ‘20 (Virtual Conference), 15-17 July 2020, Gulf of Naples, Italy, 2020.
    2. B. Maschler, H. Vietz, N. Jazdi, and M. Weyrich, “Continual Learning of Fault Prediction for Turbofan Engines using Deep Learning with Elastic Weight Consolidation,” in 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), 8-11 Sept. 2020, Vienna, Austria, pp. 959-966, 2020.

Research portal: -

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