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2020 – today
- 2024
[j1]Ralf Gitzel
, Martin W. Hoffmann, Philipp zur Heiden, Alexander Skolik, Sascha Kaltenpoth, Oliver Müller, Cansu Kanak, Kajan Kandiah, Max-Ferdinand Stroh, Wolfgang Boos, Maurizio Zajadatz, Michael Suriyah, Thomas Leibfried, Dhruv Suresh Singhal, Moritz Bürger, Dennis Hunting, Alexander Rehmer, Aydin Boyaci:
Toward Cognitive Assistance and Prognosis Systems in Power Distribution Grids - Open Issues, Suitable Technologies, and Implementation Concepts. IEEE Access 12: 107927-107943 (2024)- 2022
- [c5]Alexander Rehmer, Marco Klute, Andreas Kroll, Hans-Peter Heim:
An internal dynamics approach to predicting batch-end product quality in plastic injection molding using Recurrent Neural Networks. CCTA 2022: 1427-1432 - [c4]Alexander Rehmer, Andreas Kroll:
A Deep Recurrent Neural Network Model for affine quasi-LPV System Identification. ECC 2022: 566-571 - [c3]Alexander Rehmer, Andreas Kroll:
On affine quasi-LPV System Identification with unknown state-scheduling using (deep) Recurrent Neural Networks*. ICSTCC 2022: 446-451 - [c2]Alexander Rehmer, Andreas Kroll:
The effect of the forget gate on bifurcation boundaries and dynamics in Recurrent Neural Networks and its implications for gradient-based optimization. IJCNN 2022: 1-8
2010 – 2019
- 2019
- [c1]Alexander Rehmer, Andreas Kroll:
On Using Gated Recurrent Units for Nonlinear System Identification. ECC 2019: 2504-2509
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