| SMSI 2023 |
D7.3 - Evaluation of the bi Wave Method for Ultrasound Preload Determination in the Field with Machine Learning |
S. Herter, M. Becker, S. Fischer - Fraunhofer IZFP, Saarbrücken (Germany) |
| SMSI 2023 |
D7.4 - Creating Synthetic Training Datasets for Inspection in Machine Vision Quality Gates in Manufacturing |
M. Hieb, I. Gräßler - University of Paderborn, Paderborn (Germany) |
| SMSI 2023 |
E5.1 - The Power of Temperature Sensors in EV Charging Applications |
C. Nick, M. Bleifuss, T. Holz - Heraeus Nexensos, Kleinostheim (Germany) |
| SMSI 2023 |
E5.2 - Integration of a High-Precision 3D Sensor into a 3D Thermography System |
M. Mendez Bohorquez, A. Kroll, R. Schmoll, S. Schramm - University of Kassel, Kassel (Germany) |
| SMSI 2023 |
E5.3 - Suitability of ECT for Non-invasive Temperature Monitoring in Fixed-bed Reactors |
M. Weiss, G. Fischerauer, A. Jess - University of Bayreuth, Bayreuth (Germany) |
| SMSI 2023 |
E5.4 - Material-integrated Temperature Sensors for Wireless Monitoring of Infusion and Curing in Composite Production |
L. Betram - University of Bremen, Bremen (Germany), M. Brink - BIBA - Bremer Institut für Produktion und Logistik, Bremen (Germany), W. Lang - University of Bremen, Bremen (Germany) |
| SMSI 2023 |
E6.1 - Hierarchical Digital Offset Voltage Trimming of Fully-Differential Amplifiers in Self-X Sensor Electronics |
S. Alraho, A. König, Q. Zaman - Technical University of Kaiserslautern, Kaiserslautern (Germany) |
| SMSI 2023 |
E6.2 - Compensation of Zero-Flow-Offset due to Electronics and Transducers Mismatch |
F. Bahnmüller, T. Elrifai, T. Nguyen - Sciosense GmbH, Stutensee (Germany) |
| SMSI 2023 |
E6.3 - Integrated Signal Amplification and Conditioning of Pyroelectric Sensor Elements |
R. Lehmkau - InfraTec GmbH, Dresden (Germany) |
| SMSI 2023 |
E6.4 - Biological Neural Coding for Adaptive Spiking Analog to Digital Conversion |
H. Abd, A. König - Technical University of Kaiserslautern, Kaiserslautern (Germany) |
