M. Wende and E. Kenig, “Numerische Simulation von Gravidestillationsapparaten mit Metallschäumen,” in Jahrestreffen der ProcessNet-Fachgruppen Fluidverfahrenstechnik, Adsorption und Extraktion, Berchtesgaden, 2020.
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E. Szubartowicz and G. Schryen, “Timing in Information Security: An Event Study on the Impact of Information Security Investment Announcements,” Journal of Information System Security, vol. 16, no. 1, pp. 3–31, 2020.
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B. Hoyer, T. van Huizen, L. Keijzer, S. Rezaei, S. Rosenkranz, and B. Westbrock, “Gender, competitiveness, and task difficulty: Evidence from the field,” Labour Economics, 2020.
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I. Jovanovikj, A. Nagaraj, E. Yigitbas, A. Anjorin, S. Sauer, and G. Engels, “Validating Test Case Migration via Mutation Analysis ,” in Proceedings of the 1st IEEE/ACM International Conference on Automation of Software Test AST, Seoul, 2020, pp. 31–40.
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N. Nomikos et al., “A UAV-based moving 5G RAN for massive connectivity of mobile users and IoT devices,” Vehicular Communications, 2020.
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F. Li, D. Yu, H. Yang, J. Yu, H. Karl, and X. Cheng, “Multi-Armed-Bandit-Based Spectrum Scheduling Algorithms in Wireless Networks: A Survey,” IEEE Wireless Communications, pp. 24–30, 2020.
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P. zur Heiden, C. I. Berendes, and D. Beverungen, “Designing City Center Area Recommendation Systems ,” in Proceedings of the 15th International Conference on Wirtschaftsinformatik, Potsdam, 2020.
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S. Klus, F. Nüske, S. Peitz, J.-H. Niemann, C. Clementi, and C. Schütte, “Data-driven approximation of the Koopman generator: Model reduction, system identification, and control,” Physica D: Nonlinear Phenomena, vol. 406, 2020.
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S. Peitz and S. Klus, “Feedback Control of Nonlinear PDEs Using Data-Efficient Reduced Order Models Based on the Koopman Operator,” in Lecture Notes in Control and Information Sciences, vol. 484, Cham: Springer, 2020, pp. 257–282.
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K. Bieker, S. Peitz, S. L. Brunton, J. N. Kutz, and M. Dellnitz, “Deep model predictive flow control with limited sensor data and online learning,” Theoretical and Computational Fluid Dynamics, vol. 34, pp. 577–591, 2020.
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J. Castenow, M. Fischer, J. Harbig, D. Jung, and F. Meyer auf der Heide, “Gathering Anonymous, Oblivious Robots on a Grid,” Theoretical Computer Science, vol. 815, pp. 289–309, 2020.
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V. Wolf and C. Bartelheimer, “Transformation of Actors’ Roles in Service Systems: A Multi-Level Analysis ,” in 16th International Research Conference in Service Management,  La Londe les Maures, 2020.
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C. Wecker, A. Hoppe, A. Schulz, J. Heine, H.-J. Bart, and E. Kenig, “Numerische Untersuchungen des Stofftransports in Flüssig-Flüssig-Systemen unter Berücksichtigung der Marangonikonvektion,” 2020.
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A. Schulz, C. Wecker, and E. Kenig, “Ein PLIC-basierter Ansatz zur Erfassung des Stoffübergangs an bewegten Phasengrenzflächen,” 2020.
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S. Peitz, S. E. Otto, and C. W. Rowley, “Data-Driven Model Predictive Control using Interpolated Koopman  Generators,” SIAM Journal on Applied Dynamical Systems, vol. 19, no. 3, pp. 2162–2193, 2020.
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L. Burkhardt et al., “Electronic Structure of the Hieber Anion [Fe(CO)3(NO)] Revisited by X-ray Emission and Absorption Spectroscopy,” Inorganic Chemistry, pp. 3551–3561, 2020.
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B. Hoyer and N. Stroh-Maraun, “Matching Strategies of Heterogeneous Agents under Incomplete Information in a University Clearinghouse,” Games and Economic Behavior, vol. 121, pp. 453–481, 2020.
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J. J. Daymude, R. Gmyr, K. Hinnenthal, I. Kostitsyna, C. Scheideler, and A. W. Richa, “Convex Hull Formation for Programmable Matter,” in Proceedings of the 21st International Conference on Distributed Computing and Networking, 2020.
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T. Hansmeier, P. Kaufmann, and M. Platzner, “Enabling XCSF to Cope with Dynamic Environments via an Adaptive Error Threshold,” in GECCO ’20: Proceedings of the Genetic and Evolutionary Computation Conference Companion, Cancún, Mexico, 2020, pp. 125–126.
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M.-C. H. Oczko et al., “Integrating Haptic Signals with X-based Safety Systems for Vulnerable Road Users,” in 2020 International Conference on Computing, Networking and Communications (ICNC), 2020.
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M. Müller, D. Behnke, P.-B. Bök, S. B. Schneider, M. Peuster, and H. Karl, “Cloud-Native Threat Detection and Containment for Smart Manufacturing,” in IEEE Conference on Network Softwarization (NetSoft) Demo Track, Ghent, Belgium, 2020.
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S. Pukrop, A. Mäcker, and F. Meyer auf der Heide, “Approximating Weighted Completion Time for Order Scheduling with Setup Times,” in Proceedings of the 46th International Conference on Current Trends in Theory and Practice of Computer Science (SOFSEM), 2020.
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J. Schumacher and S. Rezat, “Rekonstruktion diagrammatischen Schließens beim Erlernen der Subtraktion negativer Zahlen. Vergleich zweier methodischer Zugänge,” in Zeichen und Sprache im Mathematikunterricht, G. Kadunz, Ed. Springer, 2020.
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D. Kiesel, P. Riehmann, H. Wachsmuth, B. Stein, and B. Fröhlich, “Visual Analysis of Argumentation in Essays,” IEEE Transactions of Visualization &; Computer Graphics, vol. 27, no. 2, pp. 1139–1148.
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D. Szopinski, T. Schoormann, and D. Kundisch, “Criteria as a prelude for guiding taxonomy evaluation,” in Proceedings of the 53rd Hawaii International Conference on System Sciences (HICSS), Maui, Hawaii, 2020.
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L. Block, Network formation with NIMBY constraints. 2020.
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D. Voswinkel, D. Kloidt, O. Grydin, and M. Schaper, “Time efficient laser modification of steel surfaces for advanced bonding in hybrid materials,”10.1007/s11740-020-01006-2__Production Engineering, pp. 263–270, 2020, doi:10.1007/s11740-020-01006-2 .
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V. Peckhaus, “Malink, Marko/ Vasudevan, Anubav, ‘The Peripatetic Program in Categorial Logic: Leibniz on Propositional Terms’ (The Review of Symbolic Logic 13),” Zentralblatt für Mathematik und ihre Grenzgebiete [Zbl. 145.03014], no. 1. 2020.
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C. Kummert, W.  Diekmann, K. Tews, and H.-J. Schmid, “Influence of Part Microstructure on Mechanical Properties of PX Laser Sintered Specimens,” 2020.
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A. Traue, G. Book, W. Kirchgässner, and O. Wallscheid, “Toward a Reinforcement Learning Environment Toolbox for Intelligent Electric Motor Control,”10.1109/tnnls.2020.3029573__IEEE Transactions on Neural Networks and Learning Systems, pp. 1–10, 2020, doi:10.1109/tnnls.2020.3029573 .
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J. Böcker, “Analysis of the Magnetic Skin Effekt in Motors and Inductors,”10.1109/speedam48782.2020.9161895__presented at the SPEEDAM, 2020, doi:10.1109/speedam48782.2020.9161895 .
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A. Sprenger, S. Sadeghi-Kohan, J. D. Reimer, and S. Hellebrand, “Variation-Aware Test for Logic Interconnects using Neural Networks - A Case Study,” 2020.
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W. Kirchgässner, O. Wallscheid, and J. Böcker, “Estimating Electric Motor Temperatures with Deep Residual Machine Learning,”10.1109/tpel.2020.3045596__IEEE Transactions on Power Electronics, vol. 36, no. 7, pp. 7480–7488, 2020, doi:10.1109/tpel.2020.3045596 .
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R. Unruh, F. Schafmeister, and J. Böcker, “Evaluation of MMCs for High-Power Low-Voltage DC-Applications in Combination with the Module LLC-Design,”10.23919/epe20ecceeurope43536.2020.9215687__presented at the 22nd European Conference on Power Electronics and Applications (EPE’20 ECCE Europe), Lyon, France, 2020, doi:10.23919/epe20ecceeurope43536.2020.9215687 .
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P. Rehlaender, S. Tikhonov, F. Schafmeister, and J. Böcker, “Dual Interleaved 3.6 kW LLC Converter Operating in Half-Bridge, Full-Bridge and Phase-Shift Mode as a Single-Stage Architecture of an Automotive On-Board DC-DC Converter,”10.23919/epe20ecceeurope43536.2020.9215736__2020, doi:10.23919/epe20ecceeurope43536.2020.9215736 .
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A. Brosch, S. Hanke, O. Wallscheid, and J. Böcker, “Data-Driven Recursive Least Squares Estimation for Model Predictive Current Control of Permanent Magnet Synchronous Motors,”10.1109/tpel.2020.3006779__IEEE Transactions on Power Electronics, pp. 2179–2190, 2020, doi:10.1109/tpel.2020.3006779 .
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K. S. C. Stille, D. Weber, J. Lange, T. Vogt, O. Wallscheid, and J. Böcker, “Emulation of Microgrids for Research and Validation of Control and Operation Strategies,”10.1109/speedam48782.2020.9161971__presented at the SPEEDAM, Sorrent, Italy, 2020, doi:10.1109/speedam48782.2020.9161971 .
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P. Rehlaender, T. Grote, S. Tikhonov, S. Mario, F. Schafmeister, and J. Böcker, “A 3,6 kW Single-Stage LLC Converter Operating in Half-Bridge, Full-Bridge and Phase-Shift Mode for Automotive Onboard DC-DC Conversion,” presented at the Power Conversion and Intelligent Motion (PCIM), Nürnberg, 2020.
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T. Rüschenbaum, P. Rehlaender, P. Ha, T. Grote, F. Schafmeister, and J. Böcker, “Two-Stage Automotive DC-DC Converter Design with Wide Voltage-Transfer Range Utilizing Asymmetric LLC Operation,” presented at the PCIM Europe digital days 2020, 2020.
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D. Urbaneck, P. Rehlaender, F. Schafmeister, and J. Böcker, “LLC Converter Design in Capacitive Operation utilizes ZCS for IGBTs – a Concept Study for a 2.2 kW Automotive DC-DC Stage,” presented at the Power Conversion and Intelligent Motion (PCIM), Nürnberg, 2020.
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M. Stender, O. Wallscheid, and J. Böcker, “Comparison of Gray-Box and Black-Box Two-Level Three-Phase Inverter Models for Electrical Drives,”10.1109/tie.2020.3018060__IEEE Transactions on Industrial Electronics, vol. 68, no. 9, pp. 8646–8656, 2020, doi:10.1109/tie.2020.3018060 .
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M. Stender, O. Wallscheid, and J. Böcker, “Accurate Torque Estimation for Induction Motors by Utilizing Globally Optimized Flux Observers,”10.1109/speedam48782.2020.9161955__2020, doi:10.1109/speedam48782.2020.9161955 .
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H. Bode, S. Heid, D. Weber, E. Hüllermeier, and O. Wallscheid, “Towards a Scalable and Flexible Simulation and Testing Environment   Toolbox for Intelligent Microgrid Control,” arXiv:2005.04869. 2020.
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E. Ficara and F. d’Agostini, “Perché celebrare Hegel? La sua dialettica è un brand, il suo pensiero una febbre benefica,” La Stampa, 2020.
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E. Ficara, “Lebanidze, Giorgi, Hegel’s Transcendental Ontology, New York 2019,” Journal of the History of Philosophy. pp. 825–826, 2020.
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E. Ficara, “Was ist die transzendentale Deduktion der Kategorien?,” in Die Kategoriendeduktion in der Klassischen Deutschen Philosophie, R. Schäfer, Ed. Berlin: Duncker &; Humblot, 2020, pp. 17–28.
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E. Ficara and F. d’Agostini, “The Blushing Liar ,” Philosophia , vol. 21, no. 2, pp. 252–266, 2020.
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E. Ficara, “Truth and Incompatibility,” in Reading Brandom. On A Spirit of Trust, G. Bouché, Ed. London: Routledge, 2020, pp. 29–40.
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S. Heid, D. Weber, H. Bode, E. Hüllermeier, and O. Wallscheid, “OMG: A scalable and flexible simulation and testing environment toolbox for intelligent microgrid control,” Journal of Open Source Software, vol. 5, no. 54, p. 2435, 2020.
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H. Bode, S. Heid, D. Weber, E. Hüllermeier, and O. Wallscheid, “Towards a scalable and flexible simulation and testing environment toolbox for intelligent microgrid control,” arXiv preprint arXiv:2005.04869, 2020.
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