Erfassung, Analyse, Verarbeitung und Übertragung von Daten
D. Otto, M. Eiserbeck, D. Käßler, G. Bausch: Comparative Analysis of Acceleration Sensors for Precision Measurement Applications. 2025 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)
V. Weiß, M. Eiserbeck, E. Fischer, R. Sallier, G. Bausch: An Low-Power Embedded System for Long Term Measurements of Compressive Stresses in Solids. 2025 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)
S. Rockstroh, P. Frenzel, D. Matthes, K. Schubert, D. Wollburg, M. Fuchs: Using deep neural networks to detect non-analytically defined expert event labels in canoe sprint force sensor signals. 2024 IEEE International Workshop on Sport Technology and Research (IEEE STAR), July, 2024, Lecco, Italy, pp. 205-210, doi: 10.1109/STAR62027.2024.10635918
F. Anders, A. K. Kalan, H.S. Kühl, M. Fuchs: Compensating class imbalance for acoustic chimpanzee detection with convolutional recurrent neural networks. Ecological Informatics, vol. 65, 101423, 2021, ISSN 1574-9541, doi: 10.1016/j.ecoinf.2021.101423, http://arxiv.org/abs/2105.12502
F. Anders, M. Hlawitschka, M. Fuchs: Comparison of Artificial Neural Network Types for Infant Vocalization Classification. IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol. 29, 54-67, 2021, doi: 10.1109/TASLP.2020.3037414.
F. Anders, M. Hlawitschka, M. Fuchs: Automatic Classification of Infant Vocalization Sequences with Convolutional Neural Networks. Speech Communication, 119, 36-45, 2020, doi: 10.1016/j.specom.2020.03.003
