Towards real-time process monitoring and machine learning for manufacturing composite structures S Stieber, A Hoffmann, A Schiendorfer, W Reif, M Beyrle, J Faber, ... 2020 25th IEEE International Conference on Emerging Technologies and Factory …, 2020 | 15 | 2020 |
FlowFrontNet: improving carbon composite manufacturing with CNNs S Stieber, N Schröter, A Schiendorfer, A Hoffmann, W Reif Joint European Conference on Machine Learning and Knowledge Discovery in …, 2020 | 14 | 2020 |
Transfer Learning for Optimization of Carbon Fiber Reinforced Polymer Production S Stieber Organic Computing: Doctoral Dissertation Colloquium 2018 13, 61, 2019 | 7 | 2019 |
PermeabilityNets: Comparing neural network architectures on a sequence-to-instance task in CFRP manufacturing S Stieber, N Schröter, E Fauster, A Schiendorfer, W Reif 2021 20th IEEE International Conference on Machine Learning and Applications …, 2021 | 5 | 2021 |
Inferring material properties from FRP processes via sim-to-real learning S Stieber, N Schröter, E Fauster, M Bender, A Schiendorfer, W Reif The International Journal of Advanced Manufacturing Technology 128 (3-4 …, 2023 | 3 | 2023 |
Genetic programming for fiber-threading for fiber-reinforced plastics J Wilfert, S Stieber, F Wilhelm, W Reif 2021 26th IEEE International Conference on Emerging Technologies and Factory …, 2021 | 2 | 2021 |
Experimental validation of a new adaptable LCM mold filling software C Obertscheider, E Fauster, S Stieber Advanced Manufacturing: Polymer & Composites Science 9 (1), 2282310, 2023 | 1 | 2023 |
A real-word realization of the AntNet routing algorithm with ActivityBots J Wilfert, N Paprotta, O Kosak, S Stieber, A Schiendorfer, W Reif 2021 IEEE International Conference on Autonomic Computing and Self …, 2021 | 1 | 2021 |
Control of Composite Manufacturing Processes Through Deep Reinforcement Learning S Stieber, L Heber, C Obertscheider, W Reif 2023 International Conference on Machine Learning and Applications (ICMLA …, 2023 | | 2023 |
Machine learning for carbon fiber reinforced polymer production S Stieber | | 2023 |
Control of RTM processes through Deep Reinforcement Learning S Stieber, L Heber, C Obertscheider, W Reif | | |