JP Dr.-Ing. Patrick Flore
Leibniz-Institut für Verbundwerkstoffe GmbH (IVW) (RPTU in Kaiserslautern), Rheinland-Pfälzische Technische Universität Kaiserslautern-Landau
- 0631/2017-351
Yi, Li; Ruediger-Flore, Patrick; Karnoub, Ali et al.
Is it possible to develop a digital twin for noise monitoring in manufacturing?Digital Twin. Bd. 4. F1000 Research Ltd 2025
Hussong, Marco; Ruediger-Flore, Patrick; Klar, Matthias et al.
Selection of manufacturing processes using graph neural networksJournal of Manufacturing Systems. Bd. 80. Elsevier BV 2025 S. 176 - 193
Flore, Patrick; Hussong, Marco; Simon, Peter M.
Überwindung der Programmierkluft in der Produktion und FertigungZeitschrift für wirtschaftlichen Fabrikbetrieb. Bd. 120. H. s1. Walter de Gruyter GmbH 2025 S. 147 - 151
Ruediger-Flore, Patrick; Klar, Matthias; Hussong, Marco et al.
Comparing Binary Classification and Autoencoders for Vision-Based Anomaly Detection in Material FlowProcedia CIRP. Bd. 121. Elsevier BV 2024 S. 138 - 143
Klar, Matthias; Rüdiger, Patrick; Scheidt, Marcel et al.
Development of a Machine Learning Model that represents the characteristics of a Manufacturing SystemsProcedia CIRP. Bd. 122. Elsevier BV 2024 S. 175 - 180
Klar, Matthias; Ruediger, Patrick; Schuermann, Maik et al.
Explainable generative design in manufacturing for reinforcement learning based factory layout planningJournal of Manufacturing Systems. Bd. 72. Elsevier BV 2024 S. 74 - 92
Hussong, Marco; Varshneya, Saurabh; Rüdiger-Flore, Patrick et al.
A process planning system using deep artificial neural networks for the prediction of operation sequencesProcedia CIRP. Bd. 120. Elsevier BV 2023 S. 135 - 140
Ruediger-Flore, Patrick; Glatt, Moritz; Hussong, Marco et al.
CAD-based data augmentation and transfer learning empowers part classification in manufacturingThe International Journal of Advanced Manufacturing Technology. Bd. 125. H. 11-12. Springer Science and Business Media LLC 2023 S. 5605 - 5618
Ruediger-Flore, Patrick; Klar, Matthias; Hussong, Marco et al.
Neural Radiance Fields in der Fabrikplanungwt Werkstattstechnik. Bd. 113. H. 6. VDI Fachmedien GmbH and Co. KG 2023 S. 219 - 223
Mukherjee, Avik; Ruediger-Flore, Patrick; Billimoria, Anosh et al.
Training a Machine Learning Model for representing Manufacturing Systems towards optimizing ResilienceProcedia CIRP. Bd. 120. Elsevier BV 2023 S. 768 - 773