| Author | Title | Year | Journal/Proceedings | Manuskript |
| Klute, M. & Heim, H.-P. | Digital Twin of Injection Molding: Bauteilqualitätskontrolle beim Einsatz von recycelten Kunststoffen durch selbstnachtrainierende Machine Learning Modelle | 2024 | VDI-Jahrestagung Spritzgießen 2024 | Download |
| Klute, M. & Heim, H.-P. | More Recyclate thanks to Digital Twin - Control of Part Quality through Adaptive Neural Networks | 2024 | Plastics Insights, 1/2024, 52-55 | |
| Klute, M. & Heim, H.-P. | Mehr Rezyklat dank digitalem Zwilling - Steuerung der Bauteilqualität durch lernfähige neuronale Netze | 2023 | Kunststoffe 11/2023, 56–59 | |
| Klute, M. & Heim, H.-P. | Digital Twin of Injection Molding: Controlling quality properties of recycled plastics by using self re-training machine learning algorithms | 2023 | SPE ANTEC 2023, March 27-30, Denver CO, USA | Download |
| Rehmer, A. & Klute, M. & Kroll, A. & Heim, H.-P. | A Digital Twin for Part Quality Prediction and Control in Plastic Injection Molding | 2023 | Modeling, Identification, and Control for Cyber-Physical Systems Towards Industry 4.0 | Download |
| Rehmer, A. & Klute, M. & Kroll, A. & Heim, H.-P. | An internal dynamics approach to predicting batch-end product quality in plastic injection molding using Recurrent Neural Networks | 2022 | IFAC-PapersOnLine 6th IEEE Conference on Control Technology and Applications (CCTA) , Vol. 53 , Elsevier , Trieste, Italy | Download |
| Rehmer, A. & Kroll, A. | Eine Python-Toolbox zur datengetriebenen Modellierung von Spritzgießprozessen und Lösung von Optimalsteuerungsproblemen zur Steuerung der Bauteilqualität | 2022 | 32. Workshop Computational Intelligence, KIT Scientific Publishing , Berlin, Deutschland | Download |
| Rehmer, A. & Kroll, A. | A Deep Recurrent Neural Network model for affine quasi-LPV System identification | 2022 | Proceedings of the 20th European Control Conference (ECC), pp. 566-571, London, UK | Download |
| Rehmer, A. & Kroll, A. | The effect of the forget gate on bifurcation boundaries and dynamics in Recurrent Neural Networks and its implications for gradient-based optimization. | 2022 | International Joint Conference on Neural Networks (IJCNN), pp. 01-08, Padova, Italy | Download |
| Rehmer, A. & Kroll, A. | On affine quasi-LPV System Identification with unknown state-scheduling using (deep) Recurrent Neural Networks. | 2022 | IFAC-PapersOnLine Proceedings of the 26th International Conference on System Theory, Control and Computing (ICSTCC), pp. 446-451, Sinaia, Romania | Download |
