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21 Publications
2023 | Book Chapter | LibreCat-ID: 45899 |
A. Boschmann, L. Clausing, F. Jentzsch, H. Ghasemzadeh Mohammadi, and M. Platzner, “Flexible Industrial Analytics on Reconfigurable Systems-On-Chip,” in On-The-Fly Computing -- Individualized IT-services in dynamic markets, vol. 412, C.-J. Haake, F. Meyer auf der Heide, M. Platzner, H. Wachsmuth, and H. Wehrheim, Eds. Paderborn: Heinz Nixdorf Institut, Universität Paderborn, 2023, pp. 225–236.
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| Files available
| DOI
2021 | Conference Paper | LibreCat-ID: 21610
M. Awais, H. Ghasemzadeh Mohammadi, and M. Platzner, “LDAX: A Learning-based Fast Design Space Exploration Framework for Approximate Circuit Synthesis,” in Proceedings of the ACM Great Lakes Symposium on VLSI (GLSVLSI) 2021, Virtual, 2021, pp. 27–32.
LibreCat
| DOI
2021 | Conference Paper | LibreCat-ID: 30908
H. Ghasemzadeh Mohammadi et al., “FLight: FPGA Acceleration of Lightweight DNN Model Inference in Industrial Analytics,” 2021, doi: https://doi.org/10.1007/978-3-030-93736-2_27.
LibreCat
| DOI
2020 | Conference Paper | LibreCat-ID: 20808
H. Ghasemzadeh Mohammadi et al., “DeepWind: An Accurate Wind Turbine Condition Monitoring Framework via Deep Learning on Embedded Platforms,” 2020, doi: 10.1109/etfa46521.2020.9211880.
LibreCat
| DOI
2019 | Preprint | LibreCat-ID: 16853
L. M. Witschen, H. Ghasemzadeh Mohammadi, M. Artmann, and M. Platzner, “Jump Search: A Fast Technique for the Synthesis of Approximate Circuits,” Fourth Workshop on Approximate Computing (AxC 2019). .
LibreCat
| Files available
2019 | Conference Paper | LibreCat-ID: 10577
L. M. Witschen, H. Ghasemzadeh Mohammadi, M. Artmann, and M. Platzner, “Jump Search: A Fast Technique for the Synthesis of Approximate Circuits,” in Proceedings of the 2019 on Great Lakes Symposium on VLSI - GLSVLSI ’19, Tysons Corner, VA, USA, 2019.
LibreCat
| DOI
2018 | Preprint | LibreCat-ID: 3586
L. M. Witschen, T. Wiersema, H. Ghasemzadeh Mohammadi, M. Awais, and M. Platzner, “CIRCA: Towards a Modular and Extensible Framework for Approximate Circuit Generation,” Third Workshop on Approximate Computing (AxC 2018). .
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