| 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 |
| Attempt upon a quantitative evaluation of the degree of differentiation of or the degree of interference with development in organ culture D Neubert, N Hinz, I Baumann, HJ Barrach, K Schmidt Role of pharmacokinetics in prenatal and perinatal toxicology. Georg Thieme …, 1978 | 18 | 1978 |
| 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 | 17 | 2020 |
| Laser Alloying Advantages by Dry Coating Metallic Powder Mixtures with SiOx Nanoparticles MCH Karg, M Rasch, K Schmidt, SAE Spitzer, TF Karsten, D Schlaug, ... Nanomaterials 8 (10), 862, 2018 | 16 | 2018 |
| 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 |
| 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 |
| Low complexity tonality control in the intelligent gap filling tool K Schmidt, C Neukam 2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016 | 9 | 2016 |
| Internal Diameter Coating by Warm Spraying of Fine WC-12Co Powders (− 10+ 2 µm) with Very Short Spray Distances up to 10 mm I Baumann, W Tillmann, C Schaak, K Schmidt, L Hagen, J Zajaczkowski, ... Journal of Thermal Spray Technology 30 (5), 1344-1364, 2021 | 8 | 2021 |
| 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 |
| Integration host factor regulates colonization factors in the bee gut symbiont Frischella perrara K Schmidt, G Santos-Matos, S Leopold-Messer, Y El Chazli, O Emery, ... Elife 12, e76182, 2023 | 3 | 2023 |
| 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 |
| 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 |
| A Methodology for Predictive Life Expectancy of Moisture-Sensitive SMT components using Neural Networks K Schmidt, L Haas, AL Bidarouni, A Reinhardt, F Döpper, J Franke Procedia CIRP 107, 1373-1378, 2022 | 2 | 2022 |
| An automated optical inspection system for PIP solder joint classification using convolutional neural networks K Schmidt, D Rauchensteiner, C Voigt, N Thielen, J Bönig, G Beitinger, ... 2021 IEEE 71st Electronic Components and Technology Conference (ECTC), 2205-2210, 2021 | 2 | 2021 |
| Machine Learning Based Quality Prediction for Solder Paste Dispensing in Electronics Production N Thielen, W Pan, N Piechulek, C Voigt, S Meier, K Schmidt, J Franke 2022 IEEE 24th Electronics Packaging Technology Conference (EPTC), 858-863, 2022 | 1 | 2022 |
| Studies and Analyses of Moisture Conditioned SMT-Components L Haas, F Döpper, K Schmidt, J Franke, A Reinhardt 2021 23rd European Microelectronics and Packaging Conference & Exhibition …, 2021 | 1 | 2021 |
| Optimizing Machine Learning Performance via Dataset Generation for X-ray Image Classification F Mahr, K Schmidt, N Thielen, T Sindel, J Franke 2024 25th International Conference on Thermal, Mechanical and Multi-Physics …, 2024 | | 2024 |
| Systems and methods for predicting a quality of a printed circuit board assembly J Bönig, K Schmidt, S Meier US Patent App. 17/889,337, 2023 | | 2023 |
| Systems and methods for automated x-ray inspection J Bönig, K Schmidt US Patent App. 17/884,729, 2023 | | 2023 |
| A Successful Introduction of AI to the Industrial Shop Floor Requires the Users’ Support K Schmidt, Q Demlehner, D Schoemer, S Laumer, J Franke, G Beitinger, ... Artificial Intelligence and Its Use for (Automotive) Manufacturing Purposes, 135, 2021 | | 2021 |
Jörg FrankeFriedrich-Alexander University of Erlangen-NürnbergVerified email at faps.uni-erlangen.de
