| SMSI 2020 |
D1.1 Minimal Model Selection for Calibrating a Hall-Stress- Temperature Multisensor System Using LASSO Regression |
M. Berger, O. Paul - University of Freiburg, IMTEK (Germany), S. Huber, C. Schott - Melexis Technologies SA., Bevaix (Switzerland) |
| SMSI 2020 |
D1.2 Precision measuring chain out of reference strain gauge sensor and inductive-voltage-divider-based digital amplifier |
A. Schäfer - Hottinger Baldwin Messtechnik - HBM, Darmstadt (Germany) |
| SMSI 2020 |
D1.3 Increasing the sensitivity in the determination of material parameters by using arbitrary loads in ultrasonic transmission measurements |
D. Dreiling, N. Feldmann, B. Henning - Paderborn University, Paderborn (Germany), D. Itner, H. Gravenkamp - University of Duisburg-Essen, Essen (Germany) |
| SMSI 2020 |
D1.4 Measurements at Laser Materials Processing Machines: Spectrum Deconvolution, Including Uncertainties and Model Selection |
R. Behrens, B. Pullner, M. Reginatto - Physikalisch-Technische Bundesanstalt (PTB), Braunschweig (Germany) |
| 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) |
| SMSI 2020 |
D3.1 Operational Measurement Uncertainty and Bayesian Probability Distribution |
R. Kacker - National Institute of Standards and Technology, Gaithersburg, (USA), R. Kessel - Metrodata, Braunschweig (Germany), K. Sommer - Technical University of Ilmenau, Ilmenau (Germany) |
