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21 Publications
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2023 | Book Chapter | LibreCat-ID: 45899 | 
Boschmann, Alexander, et al. “Flexible Industrial Analytics on Reconfigurable Systems-On-Chip.” On-The-Fly Computing -- Individualized IT-Services in Dynamic Markets, edited by Claus-Jochen Haake et al., vol. 412, Heinz Nixdorf Institut, Universität Paderborn, 2023, pp. 225–36, doi:10.5281/zenodo.8068713.
LibreCat
| Files available
| DOI
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.
LibreCat
| DOI
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, Springer, 2021, doi:https://doi.org/10.1007/978-3-030-93736-2_27.
LibreCat
| DOI
2020 | Conference Paper | LibreCat-ID: 16213
Awais, Muhammad, et al. “A Hybrid Synthesis Methodology for Approximate Circuits.” Proceedings of the 30th ACM Great Lakes Symposium on VLSI (GLSVLSI) 2020, ACM, 2020, pp. 421–26, doi:10.1145/3386263.3406952.
LibreCat
| DOI
2020 | Conference Paper | LibreCat-ID: 20808
Ghasemzadeh Mohammadi, Hassan, et al. “DeepWind: An Accurate Wind Turbine Condition Monitoring Framework via Deep Learning on Embedded Platforms.” 2020 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), 2020, doi:10.1109/etfa46521.2020.9211880.
LibreCat
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