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10546 Publications
2020 | Book Chapter | LibreCat-ID: 15267
Yigitbas E, Jovanovikj I, Sauer S, Engels G. On the Development of Context-aware Augmented Reality Applications . In: Handling Security, Usability, User Experience and Reliability in User-Centered Development Processes - IFIP WG 13.2/13.5. Springer, LNCS; 2020.
LibreCat
2020 | Conference Paper | LibreCat-ID: 16213
Awais M, Ghasemzadeh Mohammadi H, Platzner M. A Hybrid Synthesis Methodology for Approximate Circuits. In: Proceedings of the 30th ACM Great Lakes Symposium on VLSI (GLSVLSI) 2020. ACM; 2020:421-426. doi:10.1145/3386263.3406952
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| DOI
2020 | Conference Paper | LibreCat-ID: 16219 | 
Schneider SB, Satheeschandran NP, Peuster M, Karl H. Machine Learning for Dynamic Resource Allocation in Network Function Virtualization. In: IEEE Conference on Network Softwarization (NetSoft). IEEE; 2020.
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2020 | Conference Paper | LibreCat-ID: 16222
Zafeiropoulos A, Fotopoulou E, Peuster M, et al. Benchmarking and Profiling 5G Verticals’ Applications: An Industrial IoT Use Case. In: IEEE Conference on Network Softwarization (NetSoft). ; 2020.
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2020 | Conference Paper | LibreCat-ID: 16274
Jovanovikj I, Nagaraj A, Yigitbas E, Anjorin A, Sauer S, Engels G. Validating Test Case Migration via Mutation Analysis . In: Proceedings of the 1st IEEE/ACM International Conference on Automation of Software Test AST. ACM; 2020:31-40.
LibreCat
2020 | Journal Article | LibreCat-ID: 16278
Nomikos N, Michailidis ET, Trakadas P, et al. A UAV-based moving 5G RAN for massive connectivity of mobile users and IoT devices. Vehicular Communications. 2020. doi:10.1016/j.vehcom.2020.100250
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| DOI
2020 | Journal Article | LibreCat-ID: 16280
Li F, Yu D, Yang H, Yu J, Karl H, Cheng X. Multi-Armed-Bandit-Based Spectrum Scheduling Algorithms in Wireless Networks: A Survey. IEEE Wireless Communications. 2020:24-30. doi:10.1109/mwc.001.1900280
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| DOI
2020 | Journal Article | LibreCat-ID: 16288
Klus S, Nüske F, Peitz S, Niemann J-H, Clementi C, Schütte C. Data-driven approximation of the Koopman generator: Model reduction, system identification, and control. Physica D: Nonlinear Phenomena. 2020;406. doi:10.1016/j.physd.2020.132416
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| DOI
2020 | Book Chapter | LibreCat-ID: 16289
Peitz S, Klus S. 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. Lecture Notes in Control and Information Sciences. Cham: Springer; 2020:257-282. doi:10.1007/978-3-030-35713-9_10
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| DOI
2020 | Journal Article | LibreCat-ID: 16290 |
Bieker K, Peitz S, Brunton SL, Kutz JN, Dellnitz M. Deep model predictive flow control with limited sensor data and online learning. Theoretical and Computational Fluid Dynamics. 2020;34:577–591. doi:10.1007/s00162-020-00520-4
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2020 | Journal Article | LibreCat-ID: 16299
Castenow J, Fischer M, Harbig J, Jung D, Meyer auf der Heide F. Gathering Anonymous, Oblivious Robots on a Grid. Theoretical Computer Science. 2020;815:289-309. doi:10.1016/j.tcs.2020.02.018
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| DOI
2020 | Journal Article | LibreCat-ID: 16309
Peitz S, Otto SE, Rowley CW. Data-Driven Model Predictive Control using Interpolated Koopman Generators. SIAM Journal on Applied Dynamical Systems. 2020;19(3):2162-2193. doi:10.1137/20M1325678
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2020 | Conference Paper | LibreCat-ID: 16363
Hansmeier T, Kaufmann P, Platzner M. Enabling XCSF to Cope with Dynamic Environments via an Adaptive Error Threshold. In: GECCO ’20: Proceedings of the Genetic and Evolutionary Computation Conference Companion. New York, NY, United States: Association for Computing Machinery (ACM); 2020:125-126. doi:10.1145/3377929.3389968
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| DOI
2020 | Conference Paper | LibreCat-ID: 16400
Müller M, Behnke D, Bök P-B, Schneider SB, Peuster M, Karl H. Cloud-Native Threat Detection and Containment for Smart Manufacturing. In: IEEE Conference on Network Softwarization (NetSoft) Demo Track. Ghent, Belgium: IEEE; 2020.
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2020 | Conference Paper | LibreCat-ID: 13868
Pukrop S, Mäcker A, Meyer auf der Heide F. 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.
LibreCat
2020 | Book Chapter | LibreCat-ID: 13108
Schumacher J, Rezat S. Rekonstruktion diagrammatischen Schließens beim Erlernen der Subtraktion negativer Zahlen. Vergleich zweier methodischer Zugänge. In: Kadunz G, ed. Zeichen und Sprache im Mathematikunterricht. Springer; 2020. doi:10.1007/978-3-662-61194-4_5
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| DOI
2020 | Journal Article | LibreCat-ID: 10330
Kiesel D, Riehmann P, Wachsmuth H, Stein B, Fröhlich B. Visual Analysis of Argumentation in Essays. IEEE Transactions of Visualization & Computer Graphics. 27(2):1139-1148.
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2020 | Journal Article | LibreCat-ID: 21252
Traue A, Book G, Kirchgässner W, Wallscheid O. Toward a Reinforcement Learning Environment Toolbox for Intelligent Electric Motor Control. IEEE Transactions on Neural Networks and Learning Systems. Published online 2020:1-10. doi:10.1109/tnnls.2020.3029573
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| DOI
2020 | Conference Paper | LibreCat-ID: 29884
Böcker J. Analysis of the Magnetic Skin Effekt in Motors and Inductors. In: 2020 International Symposium on Power Electronics, Electrical Drives, Automation and Motion (SPEEDAM). IEEE; 2020. doi:10.1109/speedam48782.2020.9161895
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| DOI
2020 | Conference Paper | LibreCat-ID: 19422
Sprenger A, Sadeghi-Kohan S, Reimer JD, Hellebrand S. Variation-Aware Test for Logic Interconnects using Neural Networks - A Case Study. In: IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems (DFT’20), October 2020. ; 2020.
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