Available documents

Event Title Author(s)
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)