| SMSI 2020 |
D2.1 Artificial Intelligence with Neural Networks in Optical Measurement and Inspection Systems – Opportunities and Challenges |
M. Heizmann, M. Ulrich - Karlsruhe Institute of Technology, Karlsruhe (Germany), A. Braun - University of Applied Sciences, Düsseldorf (Germany), M. Hüttel - Fraunhofer IPA, Stuttgart (Germany), C. Klüver - University of Duisburg-Essen, Essen (Germany), E. Marquardt - VDI e. V., Düsseldorf (Germany, M. Overdick - SICK AG, Waldkirch (Germany) |
| SMSI 2020 |
D2.2 Visualizing Neural Network Decisions for Industrial Sound Analysis |
S. Grollmisch - University of Technology, Ilmenau (Germany), D. Johnson, J. Liebetrau - Fraunhofer Institute IDMT, Ilmenau (Germany) |
| SMSI 2020 |
D2.3 Adaptive algorithms for linear position measurement applications |
A. Voss, A. Bartos - TE Connectivity Sensors Germany GmbH, Dortmund (Germany) |
| SMSI 2020 |
D2.4 Lean data with edge analytics: Decentralized current profile analysis on embedded systems using neural networks |
T. Küfner - University Bayreuth, Bayreuth (Germany), A. Trenz - Fraunhofer IPA, Bayreuth (Germany), S. Schönig - Maxsyma GmbH & Co. KG, Floss (Germany) |
| SMSI 2020 |
D2.5 Application of Machine Learning Algorithms for the Analysis of an Optical Fiber Sensor for Use in Endovascular Coiling of Intracranial Aneurysms |
S. Shojaei Khatouni, J. Ewald, H. Trieu - Hamburg University of Technology, Hamburg (Germany) |
