| Machine learning in production–potentials, challenges and exemplary applications A Mayr, D Kißkalt, M Meiners, B Lutz, F Schäfer, R Seidel, A Selmaier, ... Procedia CIRP 86, 49-54, 2019 | 80 | 2019 |
| A machine learning based approach to detect false calls in SMT manufacturing N Thielen, D Werner, K Schmidt, R Seidel, A Reinhardt, J Franke 2020 43rd international spring seminar on electronics technology (ISSE), 1-6, 2020 | 25 | 2020 |
| Enhanced X-ray inspection of solder joints in SMT electronics production using convolutional neural networks K Schmidt, N Thielen, C Voigt, R Seidel, J Franke, Y Milde, J Bönig, ... 2020 IEEE 26th International Symposium for Design and Technology in …, 2020 | 16 | 2020 |
| Development and validation of a digital twin framework for SMT manufacturing R Seidel, B Rachinger, N Thielen, K Schmidt, S Meier, J Franke Computers in industry 145, 103831, 2023 | 13 | 2023 |
| Towards a smart electronics production using machine learning techniques R Seidel, A Mayr, F Schäfer, D Kißkalt, J Franke 2019 42nd international spring seminar on electronics technology (isse), 1-6, 2019 | 13 | 2019 |
| Data mining system architecture for industrial internet of things in electronics production R Seidel, H Amada, J Fuchs, N Thielen, K Schmidt, C Voigt, J Franke 2020 IEEE 26th International Symposium for Design and Technology in …, 2020 | 9 | 2020 |
| Development and Test of a Data Framework for Prediction of Soldering Quality in Selective Wave Soldering Applying K-Nearest Neighbors R Seidel, N Thielen, K Schmidt, C Voigt, J Franke 2020 IEEE 26th International Symposium for Design and Technology in …, 2020 | 6 | 2020 |
| An analytical approach to thermal design for manufacturing in mini wave soldering R Seidel, M Sippel, J Franke 2021 IEEE 71st Electronic Components and Technology Conference (ECTC), 1427-1434, 2021 | 5 | 2021 |
| Experimental identification and prioritization of design and process parameters on hole fill in mini wave soldering R Seidel, T Ahrens, J Friedrich, A Reinhardt, J Franke Microelectronics Reliability 131, 114497, 2022 | 4 | 2022 |
| Clustering of Image Data to Enhance Machine Learning Based Quality Control in THT Manufacturing N Thielen, Z Jiang, K Schmidt, R Seidel, C Voigt, A Reinhardt, J Franke 2021 IEEE 27th International Symposium for Design and Technology in …, 2021 | 3 | 2021 |
| Prediction of the Solder Rise in Selective Wave Soldering Comparing Decision Tree and Logistic Regression R Seidel, F Leibold, N Thielen, J Franke 2020 43rd International Spring Seminar on Electronics Technology (ISSE), 1-7, 2020 | 3 | 2020 |
| Experimental Investigation on Thermocouple Attachment Methods for Reliable Temperature Measurement R Seidel, J Volland, N Thielen, C Voigt, J Franke 2020 43rd International Spring Seminar on Electronics Technology (ISSE), 1-6, 2020 | 3 | 2020 |
| Impact of THT-hole dimensioning on manufacturability in selective wave soldering R Seidel, C Kästle, M Ockel, J Franke Microelectronics Reliability 137, 114773, 2022 | 2 | 2022 |
| Trustworthiness of machine learning models in manufacturing applications using the example of electronics manufacturing processes R Seidel, K Schmidt, N Thielen, J Franke Procedia CIRP 107, 487-492, 2022 | 2 | 2022 |
| Modellbasierte Optimierung des Selektivwellenlötprozesses R Seidel FAU University Press, 2023 | | 2023 |
| 2-D Fluid Simulation Approach for Miniwave Soldering R Seidel, M Sippel, J Franke 2022 IEEE 72nd Electronic Components and Technology Conference (ECTC), 1785-1790, 2022 | | 2022 |
| Improved Thermal Impedance Measurement for Power Modules based on Thermal Imaging of the Baseplate M Sippel, R Schmidt, F Rau, D Bretscher, R Seidel, J Franke CIPS 2022; 12th International Conference on Integrated Power Electronics …, 2022 | | 2022 |
| THT-Problemstellen frühzeitig erkennen–Modellbasiertes Design for Manufacturing beim Selektivwellenlöten R Seidel, J Franke | | |
