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375 Publications


2017 | Conference Paper | LibreCat-ID: 10780
Z. Guettatfi, P. Hübner, M. Platzner, and B. Rinner, “Computational self-awareness as design approach for visual sensor nodes,” in 12th International Symposium on Reconfigurable Communication-centric Systems-on-Chip (ReCoSoC), 2017, pp. 1–8.
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2017 | Conference Paper | LibreCat-ID: 10672
N. Ho, I. I. Ashraf, P. Kaufmann, and M. Platzner, “Accurate Private/Shared Classification of Memory Accesses: a Run-time Analysis System for the LEON3 Multi-core Processor,” in Proc. Design, Automation and Test in Europe Conf. (DATE), 2017.
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2017 | Book | LibreCat-ID: 10759
G. Squillero et al., Applications of Evolutionary Computation - 20th European Conference, EvoApplications. Springer, 2017.
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2017 | Conference Paper | LibreCat-ID: 10761
P. Kaufmann, N. Ho, and M. Platzner, “Evaluation Methodology for Complex Non-deterministic Functions: A Case Study in Metaheuristic Optimization of Caches,” in Adaptive Hardware and Systems (AHS), 2017.
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2017 | Bachelorsthesis | LibreCat-ID: 3580
T. Hansmeier, An FPGA Accelerator for Checking Resolution Proofs. Universität Paderborn, 2017.
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2017 | Journal Article | LibreCat-ID: 10611
J. Anwer and M. Platzner, “Evaluating fault-tolerance of redundant FPGA structures using Boolean difference calculus,” Microprocessors and Microsystems, pp. 160–172, 2017.
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2017 | Conference Paper | LibreCat-ID: 10630
A. Boschmann, G. Thombansen, L. M. Witschen, A. Wiens, and M. Platzner, “A Zynq-based dynamically reconfigurable high density myoelectric prosthesis controller,” in Design, Automation and Test in Europe (DATE), 2017.
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2017 | Mastersthesis | LibreCat-ID: 10666
U. Riaz, Acceleration of Industrial Analytics Functions on a Platform FPGA. Paderborn University, 2017.
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2017 | Journal Article | LibreCat-ID: 10692
C. Shen, P. Kaufmann, and M. Braun, “Three-Stage Power System Restoration Methodology Considering Renewable Energies,” Elsevier International Journal of Electrical Power and Energy Systems (IJEPES), 2017.
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2017 | Conference Paper | LibreCat-ID: 10762
P. Kaufmann and R. Kalkreuth, “An Empirical Study on the Parametrization of Cartesian Genetic Programming,” in Genetic and Evolutionary Computation (GECCO), Compendium, 2017.
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