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12159 Publications


2021 | Journal Article | LibreCat-ID: 29664
O. Wallscheid, “Thermal Monitoring of Electric Motors: State-of-the-Art Review and Future Challenges,” IEEE Open Journal of Industry Applications, 2021.
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2021 | Journal Article | LibreCat-ID: 21251
W. Kirchgässner, O. Wallscheid, and J. Böcker, “Data-Driven Permanent Magnet Temperature Estimation in Synchronous Motors with Supervised Machine Learning: A Benchmark,” IEEE Transactions on Energy Conversion, vol. 36, no. 3, pp. 2059–2067, 2021, doi: 10.1109/tec.2021.3052546.
LibreCat | DOI
 

2021 | Journal Article | LibreCat-ID: 21254
P. Balakrishna, G. Book, W. Kirchgässner, M. Schenke, A. Traue, and O. Wallscheid, “gym-electric-motor (GEM): A Python toolbox for the simulation of electric drive systems,” Journal of Open Source Software, Art. no. 2498, 2021, doi: 10.21105/joss.02498.
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2021 | Journal Article | LibreCat-ID: 25031
M. Schenke and O. Wallscheid, “A Deep Q-Learning Direct Torque Controller for Permanent Magnet Synchronous Motors,” IEEE Open Journal of the Industrial Electronics Society, pp. 388–400, 2021, doi: 10.1109/ojies.2021.3075521.
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2021 | Journal Article | LibreCat-ID: 29662
M. Schenke and O. Wallscheid, “Improved Exploring Starts by Kernel Density Estimation-Based State-Space Coverage Acceleration in Reinforcement Learning,” arXiv preprint arXiv:2105.08990, 2021.
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2021 | Journal Article | LibreCat-ID: 21557
A. Brosch, O. Wallscheid, and J. Böcker, “Torque and Inductances Estimation for Finite Model Predictive Control of Highly Utilized Permanent Magnet Synchronous Motors,” IEEE Transactions on Industrial Informatics, 2021, doi: 10.1109/tii.2021.3060469.
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2021 | Conference Paper | LibreCat-ID: 25297
M. Alshomary et al., “Key Point Analysis via Contrastive Learning and Extractive Argument Summarization,” in Proceedings of the 8th Workshop on Argument Mining, 2021, pp. 184–189.
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2021 | Conference Paper | LibreCat-ID: 25294
Z. Nouri, N. Prakash, U. Gadiraju, and H. Wachsmuth, “iClarify - A Tool to Help Requesters Iteratively Improve Task Descriptions in Crowdsourcing,” 2021.
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2021 | Conference Paper | LibreCat-ID: 30217
S. Coy et al., “Near-Shortest Path Routing in Hybrid Communication Networks,” in 25th International Conference on Principles of Distributed Systems, OPODIS 2021, December 13-15, 2021, Strasbourg, France, 2021, vol. 217, p. 11:1–11:23, doi: 10.4230/LIPIcs.OPODIS.2021.11.
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2021 | Conference Paper | LibreCat-ID: 30340
M. Hagemeyer, P. Wallmeier, F. Schafmeister, and J. Böcker, “Comparison of unidirectional Three- and Four-Wire based Boost PFC-Rectifier Topologies for Non-Isolated Three-Phase EV On-Board Chargers under Common-Mode Aspects,” in Proc. 36th IEEE Applied Power Electronics Conference (APEC), Phoenix, AZ, USA, 2021, pp. 569–576.
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2021 | Newspaper Article | LibreCat-ID: 30348
F. Schafmeister, “Transformerless On-Board Chargers at Three- and Single-Phase Operation: Compensation of LF Common-Mode Noise by the Internal DC/DC-Stage,” Power System Design (PSD) Web Magazine, 2021.
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2021 | Conference Paper | LibreCat-ID: 21593
E. Yigitbas, I. Jovanovikj, and G. Engels, “Simplifying Robot Programming using Augmented Reality and End-User Development,” 2021.
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2021 | Conference Paper | LibreCat-ID: 21707
E. Yigitbas, S. Sauer, and G. Engels, “Using Augmented Reality for Enhancing Planning and Measurements in the Scaffolding Business,” 2021.
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2021 | Conference Paper | LibreCat-ID: 22706
E. Yigitbas, S. Gorissen, N. Weidmann, and G. Engels, “Collaborative Software Modeling in Virtual Reality,” 2021.
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2021 | Conference Paper | LibreCat-ID: 21598 | OA
P. Schubert, B. Hermann, and E. Bodden, “Lossless, Persisted Summarization of Static Callgraph, Points-To and Data-Flow Analysis,” 2021.
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2021 | Conference Paper | LibreCat-ID: 27381
C. Damke and E. Hüllermeier, “Ranking Structured Objects with Graph Neural Networks,” in Proceedings of The 24th International Conference on Discovery Science (DS 2021), Halifax, Canada, 2021, vol. 12986, pp. 166–180, doi: 10.1007/978-3-030-88942-5.
LibreCat | DOI | arXiv
 

2021 | Preprint | LibreCat-ID: 30866
T. Tornede, A. Tornede, J. M. Hanselle, M. D. Wever, F. Mohr, and E. Hüllermeier, “Towards Green Automated Machine Learning: Status Quo and Future Directions,” arXiv:2111.05850. 2021.
LibreCat | arXiv
 

2021 | Dissertation | LibreCat-ID: 27284 | OA
M. D. Wever, Automated Machine Learning for Multi-Label Classification. 2021.
LibreCat | Files available | DOI
 

2021 | Journal Article | LibreCat-ID: 30906
A. Boschmann, D. Neuhaus, S. Vogt, C. Kaltschmidt, M. Platzner, and S. Dosen, “Immersive augmented reality system for the training of pattern classification control with a myoelectric prosthesis,” Journal of NeuroEngineering and Rehabilitation, vol. 18, no. 1, Art. no. 25, 2021, doi: 10.1186/s12984-021-00822-6.
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2021 | Journal Article | LibreCat-ID: 30907
A. Rodriguez, A. Otero, M. Platzner, and E. De la Torre, “Exploiting Hardware-Based Data-Parallel and Multithreading Models for Smart Edge Computing in Reconfigurable FPGAs,” IEEE Transactions on Computers, pp. 1–1, 2021, doi: 10.1109/tc.2021.3107196.
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