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5 Publications
2024 | Preprint | LibreCat-ID: 53793 | 
Harder H, Peitz S. Predicting PDEs Fast and Efficiently with Equivariant Extreme Learning Machines.
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2019 | Journal Article | LibreCat-ID: 10334
Schemmel R, Hemsel T, Dymel C, Hunstig M, Brökelmann M, Sextro W. Using complex multi-dimensional vibration trajectories in ultrasonic bonding and welding. Sensors and Actuators A: Physical. 2019;295:653-662. doi:10.1016/j.sna.2019.04.025
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2018 | Conference Paper | LibreCat-ID: 9993
Dymel C, Schemmel R, Hemsel T, Sextro W, Brökelmann M, Hunstig M. Experimental investigations on the impact of bond process parameters in two-dimensional ultrasonic copper bonding. In: (Proceedings of 8th Electronics IEEE CPMT Symposium Japan (ICSJ 2018), Kyoto, Japan). ; 2018:41-44.
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2018 | Conference Paper | LibreCat-ID: 4375
Benter M, Knollmann T, Meyer auf der Heide F, Setzer A, Sundermeier J. A Peer-to-Peer based Cloud Storage supporting orthogonal Range Queries of arbitrary Dimension. In: Proceedings of the 4th International Symposium on Algorithmic Aspects of Cloud Computing (ALGOCLOUD). ; 2018. doi:10.1007/978-3-030-19759-9_4
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2013 | Conference Paper | LibreCat-ID: 11917
Vu DHT, Haeb-Umbach R. Using the turbo principle for exploiting temporal and spectral correlations in speech presence probability estimation. In: 38th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2013). ; 2013:863-867. doi:10.1109/ICASSP.2013.6637771
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