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- Titel:
Benchmarking and Feasibility Aspects of Machine Learning in Space Systems
- Dokumenttyp:
- Konferenzbeitrag
- Autor(en):
- Raoofy, Amir; Dax, Gabriel; Serra, Vittorio; Ghiglione, Max; Werner, Martin; Trinitis, Carsten
- Kongress- / Buchtitel:
- Proceedings of the 19th ACM International Conference on Computing Frontiers (CF'22)
- Verlag / Institution:
- Association for Computing Machinery (ACM)
- Verlagsort:
- New York, NY, USA
- Jahr:
- 2022
- Print-ISBN:
- 9781450393386
- Volltext / DOI:
- doi:10.1145/3528416.3530986
- WWW:
- https://doi.org/10.1145/3528416.3530986
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