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Benchmarking and feasibility aspects of machine learning in..:

, In: Proceedings of the 19th ACM International Conference on Computing Frontiers,

Raoofy, Amir ; Dax, Gabriel ; Serra, Vittorio... - p. 225-226 , 2022

Link: https://dl.acm.org/doi/10.1145/3528416.3530986

RT 
T1 <cTitle>Proceedings of the 19th ACM International Conference on Computing Frontiers</cTitle>: T1 <Title>Benchmarking and feasibility aspects of machine learning in space systems</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-3530986&Exemplar=1&LAN=DE
				
A1 Raoofy, Amir
A1 Dax, Gabriel
A1 Serra, Vittorio
A1 Ghiglione, Max
A1 Werner, Martin
A1 Trinitis, Carsten
PB ACM
YR 2022
K1 FPGA-enabled COTS
K1 benchmarking
K1 machine learning
K1 onboard computers
K1 Computer systems organization
K1 Embedded and cyber-physical systems
K1 System on a chip
K1 Applied computing
K1 Physical sciences and engineering
K1 Aerospace
K1 Avionics
K1 Hardware
K1 Emerging technologies
K1 Analysis and design of emerging devices and systems
K1 Emerging architectures
K1 Computing methodologies
K1 Artificial intelligence
K1 Computer vision
K1 Computer vision problems
SP 225
OP 226
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3528416.3530986
DO https://dl.acm.org/doi/10.1145/3528416.3530986
SF ELIB - SuUB Bremen

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