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403 Publications


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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2021 | Journal Article | LibreCat-ID: 30907
Rodriguez, Alfonso, et al. “Exploiting Hardware-Based Data-Parallel and Multithreading Models for Smart Edge Computing in Reconfigurable FPGAs.” IEEE Transactions on Computers, Institute of Electrical and Electronics Engineers (IEEE), 2021, pp. 1–1, doi:10.1109/tc.2021.3107196.
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2021 | Conference Paper | LibreCat-ID: 30909
Clausing, Lennart. “ReconOS64: High-Performance Embedded Computing for Industrial Analytics on a Reconfigurable System-on-Chip.” Proceedings of the 11th International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies, ACM, 2021, doi:10.1145/3468044.3468056.
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2021 | Conference Paper | LibreCat-ID: 30908
Ghasemzadeh Mohammadi, Hassan, et al. “FLight: FPGA Acceleration of Lightweight DNN Model Inference in Industrial Analytics.” Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2021.
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2020 | Conference Paper | LibreCat-ID: 3583
Guetttatfi, Zakarya, et al. “Optimal and Greedy Heuristic Approaches for Scheduling and Mapping of Hardware Tasks to Reconfigurable Computing Devices.” Proceedings of the International Workshop on Applied Reconfigurable Computing (ARC), 2020.
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2020 | Mastersthesis | LibreCat-ID: 21324
Chandrakar, Khushboo. Comparison of Feature Selection Techniques to Improve Approximate Circuit Synthesis. 2020.
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2020 | Bachelorsthesis | LibreCat-ID: 21432
Henke, Luca-Sebastian. Evaluation of a ReconOS-ROS Combination Based on a Video Processing Application. 2020.
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2020 | Mastersthesis | LibreCat-ID: 21433
Jentzsch, Felix P. Design and Implementation of a ReconOS-Based TensorFlow Lite Delegate Architecture. 2020.
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2020 | Conference Paper | LibreCat-ID: 21584
Gatica, Carlos Paiz, and Marco Platzner. “Adaptable Realization of Industrial Analytics Functions on Edge-Devices Using Reconfigurable Architectures.” Machine Learning for Cyber Physical Systems (ML4CPS 2017), 2020, doi:10.1007/978-3-662-59084-3_9.
LibreCat | DOI
 

2020 | Journal Article | LibreCat-ID: 17358
Witschen, Linus Matthias, et al. “Proof-Carrying Approximate Circuits.” IEEE Transactions On Very Large Scale Integration Systems, vol. 28, no. 9, IEEE, 2020, pp. 2084–88, doi:10.1109/TVLSI.2020.3008061.
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