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2182 Publications
2020 | Journal Article | LibreCat-ID: 16290 | 
Bieker, K., Peitz, S., Brunton, S. L., Kutz, J. N., & Dellnitz, M. (2020). Deep model predictive flow control with limited sensor data and online learning. Theoretical and Computational Fluid Dynamics, 34, 577–591. https://doi.org/10.1007/s00162-020-00520-4
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2020 | Journal Article | LibreCat-ID: 21252
Traue, A., Book, G., Kirchgässner, W., & Wallscheid, O. (2020). Toward a Reinforcement Learning Environment Toolbox for Intelligent Electric Motor Control. IEEE Transactions on Neural Networks and Learning Systems, 1–10. https://doi.org/10.1109/tnnls.2020.3029573
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2020 | Journal Article | LibreCat-ID: 21250
Kirchgässner, W., Wallscheid, O., & Böcker, J. (2020). Estimating Electric Motor Temperatures with Deep Residual Machine Learning. IEEE Transactions on Power Electronics, 36(7), 7480–7488. https://doi.org/10.1109/tpel.2020.3045596
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2020 | Conference Paper | LibreCat-ID: 29939
Unruh, R., Schafmeister, F., & Böcker, J. (2020). Evaluation of MMCs for High-Power Low-Voltage DC-Applications in Combination with the Module LLC-Design. 2020 22nd European Conference on Power Electronics and Applications (EPE’20 ECCE Europe). 22nd European Conference on Power Electronics and Applications (EPE’20 ECCE Europe), Lyon, France. https://doi.org/10.23919/epe20ecceeurope43536.2020.9215687
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2020 | Preprint | LibreCat-ID: 21623
Bode, H., Heid, S., Weber, D., Hüllermeier, E., & Wallscheid, O. (2020). Towards a Scalable and Flexible Simulation and Testing Environment Toolbox for Intelligent Microgrid Control. In arXiv:2005.04869.
LibreCat
2020 | Journal Article | LibreCat-ID: 29642
Hanke, S., Wallscheid, O., & Böcker, J. (2020). Data Set Description: Identifying the Physics Behind an Electric Motor–Data-Driven Learning of the Electrical Behavior (Part II). ArXiv Preprint ArXiv:2003.06268.
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2020 | Journal Article | LibreCat-ID: 29640
Kirchgässner, W., Wallscheid, O., & Böcker, J. (2020). Data-Driven Permanent Magnet Temperature Estimation in Synchronous Motors with Supervised Machine Learning. ArXiv Preprint ArXiv:2001.06246.
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2020 | Journal Article | LibreCat-ID: 21112
Mirhosseini, S. H., Kormath Madam Raghupathy, R., Sahoo, S. K., Wiebeler, H., Chugh, M., & Kühne, T. (2020). In silico investigation of Cu(In,Ga)Se2-based solar cells. Phys. Chem. Chem. Phys., 22, 26682–26701. https://doi.org/10.1039/D0CP04712K
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2020 | Working Paper | LibreCat-ID: 34636
Mehring, O., Müller, J., Sievers, S., & Sofilkanitsch, C. (2020). Does Learning About Low GAAP Reporting Quality Change Investors’ Perceptions of Aggressive Non-GAAP Reporting Choices? TRR.
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2020 | Conference Paper | LibreCat-ID: 29298 |
Opel, S. A., & Schlichtig, M. (2020). Data Science und Big Data in der beruflichen Bildung – Konzeption und Erprobung eines Projektkurses für die Sekundarstufe II. In T. Vollmer, T. Karges, T. Richter, B. Schlömer, & S. Schütt-Sayed (Eds.), Sammelband der 27. Fachtagung der BAG Berufliche Bildung (Vol. 55, pp. 176–194). wbv Media GmbH & Co. KG. https://doi.org/10.3278/6004722w
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2020 | Journal Article | LibreCat-ID: 16507
Goller, M., Harteis, C., Gijbels, D., & Donche, V. (2020). Engineering students’ learning during internships: Exploring the explanatory power of the job demands‐control‐support model. Journal of Engineering Education, 109(2), 307–324. https://doi.org/10.1002/jee.20308
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2020 | Book Chapter | LibreCat-ID: 29108
Gröschner, A., Goller, M., & Haschner, T. (2020). Lernen zu Unterrichten – Veränderungen in den Einstellungsmustern von Lehramtsstudierenden während des Praxissemesters im Zusammenhang mit mentorieller Lernbegleitung und Kompetenzeinschätzung. In I. Ulrich & A. Gröschner (Eds.), Praxissemester im Lehramtsstudium in Deutschland: Wirkungen auf Studierende (pp. 209–241). Springer VS. https://doi.org/10.1007/978-3-658-24209-1_7
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2020 | Journal Article | LibreCat-ID: 16506
Harteis, C., Goller, M., & Caruso, C. (2020). Conceptual Change in the Face of Digitalization: Challenges for Workplaces and Workplace Learning. Frontiers in Education, 5(1), 1–10. https://doi.org/10.3389/feduc.2020.00001
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2020 | Journal Article | LibreCat-ID: 21267
Budde, L., Schulte, C., Buhl, H. M., & Muehling, A. (2020). Understanding and Explaining Digital Artefacts - the Role of a Duality (Accepted Paper - Digital Publication Follows). Seventh International Conference on Learning and Teaching in Computing and Engineeringe.
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2020 | Journal Article | LibreCat-ID: 33330
Haddenhorst, B., Hüllermeier, E., & Kolb, M. (2020). Generalized transitivity: A systematic comparison of concepts with an application to preferences in the Babington Smith model. International Journal of Approximate Reasoning, 119(2), 373–407. https://doi.org/10.1016/j.ijar.2020.01.007
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2020 | Journal Article | LibreCat-ID: 29246 |
Steinhardt, I. (2020). Learning Open Science by doing Open Science. A reflection of a qualitative research project-based seminar. Education for Information, 36(3), 263–279. https://doi.org/10.3233/efi-190308
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2020 | Journal Article | LibreCat-ID: 27022
Libuda, L., Timmesfeld, N., Antel, J., Hirtz, R., Bauer, J., Führer, D., Zwanziger, D., Öztürk, D., Langenbach, G., Hahn, D., Ring, S., Peters, T., Hinney, A., Bühlmeier, J., Hebebrand, J., Grasemann, C., & Föcker, M. (2020). Effect of vitamin D deficiency on depressive symptoms in child and adolescent psychiatric patients: results of a randomized controlled trial. European Journal of Nutrition, 3415–3424. https://doi.org/10.1007/s00394-020-02176-6
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2020 | Journal Article | LibreCat-ID: 27018
Föcker, M., Cecil, A., Prehn, C., Adamski, J., Albrecht, M., Adams, F., Hinney, A., Libuda, L., Bühlmeier, J., Hebebrand, J., Peters, T., & Antel, J. (2020). Evaluation of Metabolic Profiles of Patients with Anorexia Nervosa at Inpatient Admission, Short- and Long-Term Weight Regain—Descriptive and Pattern Analysis. Metabolites, Article 7. https://doi.org/10.3390/metabo11010007
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2020 | Journal Article | LibreCat-ID: 27021
Jansen, K., Tempes, J., Drozdowska, A., Gutmann, M., Falkenstein, M., Buyken, A., Libuda, L., Rudolf, H., Lücke, T., & Kersting, M. (2020). Short-term effects of carbohydrates differing in glycemic index (GI) consumed at lunch on children’s cognitive function in a randomized crossover study. European Journal of Clinical Nutrition, 757–764. https://doi.org/10.1038/s41430-020-0600-0
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