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451 Publications


2022 | Mastersthesis | LibreCat-ID: 45915
Kaur , Parvinder. Analysis of Time-Series Classification in Conditional Monitoring Systems. 2022.
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2021 | Dissertation | LibreCat-ID: 26746 | OA
Wiersema, Tobias. Guaranteeing Properties of Reconfigurable Hardware Circuits with Proof-Carrying Hardware. Paderborn University, 2021.
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2021 | Journal Article | LibreCat-ID: 29150
Lienen, Christian, and Marco Platzner. “Design of Distributed Reconfigurable Robotics Systems with ReconROS.” ACM Transactions on Reconfigurable Technology and Systems, 2021, pp. 1–20, doi:10.1145/3494571.
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2021 | Mastersthesis | LibreCat-ID: 29151
Kashikar, Chinmay. A Comparison of Machine Learning Techniques for the On-Line Characterization of Tasks Executed on Heterogeneous Compute Nodes. Paderborn University, 2021.
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2021 | Conference Paper | LibreCat-ID: 21610
Awais, Muhammad, et al. “LDAX: A Learning-Based Fast Design Space Exploration Framework for Approximate Circuit Synthesis.” Proceedings of the ACM Great Lakes Symposium on VLSI (GLSVLSI) 2021, ACM, 2021, pp. 27–32, doi:https://doi.org/10.1145/3453688.3461506.
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2021 | Bachelorsthesis | LibreCat-ID: 22216
Rehnen, Jakob Werner. Decomposition of Arithmetic Components for the Approximate Circuit Synthesis with EvoApproxLib. 2021.
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2021 | Conference Paper | LibreCat-ID: 22309
Awais, Muhammad, and Marco Platzner. “MCTS-Based Synthesis Towards Efficient Approximate Accelerators.” Proceedings of IEEE Computer Society Annual Symposium on VLSI, IEEE, 2021, pp. 384–89.
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2021 | Bachelorsthesis | LibreCat-ID: 22483
Brede, Mathis. Implementation and Profiling of XCS in the Context of Embedded Systems. Paderborn University, 2021.
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2021 | Conference Paper | LibreCat-ID: 21953
Witschen, Linus Matthias, et al. “Timing Optimization for Virtual FPGA Configurations.” Proceedings of International Symposium on Applied Reconfigurable Computing (ARC’21), edited by Frank Hannig et al., Springer Lecture Notes in Computer Science, doi:10.1007/978-3-030-79025-7_4.
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2021 | Journal Article | LibreCat-ID: 30906
Boschmann, Alexander, et al. “Immersive Augmented Reality System for the Training of Pattern Classification Control with a Myoelectric Prosthesis.” Journal of NeuroEngineering and Rehabilitation, vol. 18, no. 1, 25, Springer Science and Business Media LLC, 2021, doi:10.1186/s12984-021-00822-6.
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