JP Dr.-Ing. Patrick Flore - Publikationen

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 networks
Journal 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 Fertigung
Zeitschrift 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 Flow
Procedia 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 Systems
Procedia 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 planning
Journal 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 sequences
Procedia 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 manufacturing
The 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 Fabrikplanung
wt 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 Resilience
Procedia CIRP. Bd. 120. Elsevier BV 2023 S. 768 - 773

Ruediger, Patrick; Claus, Felix; Leonhardt, Viktor et al.
PREVIS - A Combined Machine Learning and Visual Interpolation Approach for Interactive Reverse Engineering in Assembly Quality Control
Procedia CIRP. Bd. 112. Elsevier BV 2022 S. 483 - 488

Klar, Matthias; Hussong, Marco; Ruediger-Flore, Patrick et al.
Scalability investigation of Double Deep Q Learning for factory layout planning
Procedia CIRP. Bd. 107. Elsevier BV 2022 S. 161 - 166

Hussong, Marco; Glatt, Moritz; Rüdiger-Flore, Patrick et al.
Deep Learning zur Unterstützung der Arbeitsplanung
Zeitschrift für wirtschaftlichen Fabrikbetrieb. Bd. 116. H. 10. Walter de Gruyter GmbH 2021 S. 648 - 651

Ruediger-Flore, Patrick
Know What You See - Visual Analytics enabling Machine Learning Performance Evaluation
Kaiserslautern. 2021

Ruediger-Flore, Patrick; Glatt, Moritz; Aurich, Jan C.
Maschinelles Lernen bei hohem Variantenreichtum und kleinen Serien
Zeitschrift für wirtschaftlichen Fabrikbetrieb. Bd. 116. H. 7-8. Walter de Gruyter GmbH 2021 S. 538 - 543

Meghanathan, Radha Nila; Ruediger-Flore, Patrick; Hekele, Felix et al.
Spatial Sound in a 3D Virtual Environment: All Bark and No Bite?
Big Data and Cognitive Computing. Bd. 5. H. 4. MDPI AG 2021 S. 79

Ruediger, Patrick; Claus, Felix; Hamann, Bernd et al.
Combining Visual Analytics and Machine Learning for Reverse Engineering in Assembly Quality Control
Journal of Imaging Science and Technology. Bd. 64. H. 6. Society for Imaging Science & Technology 2020 S. 060405-1 - 060405-13 jist0956

Ruediger, Patrick; Hagen, Hans
Dealing with Uncertainties in Manufacturing Process Simulations
Applied Mechanics and Materials. Bd. 869. Trans Tech Publications, Ltd. 2017 S. 226 - 233