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1 Ergebnisse
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AdaSense : adaptive low-power sensing and activity recog..:
, In:
Proceedings of the 57th ACM/EDAC/IEEE Design Automation Conference
,
Neseem, Marina
;
Nelson, Jon
;
Reda, Sherief
- p. 1-6 , 2020
Link:
https://dl.acm.org/doi/10.5555/3437539.3437659
RT T1 <cTitle>Proceedings of the 57th ACM/EDAC/IEEE Design Automation Conference</cTitle>: T1 <Title>AdaSense : adaptive low-power sensing and activity recognition for wearable devices</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3437659&Exemplar=1&LAN=DE A1 Neseem, Marina A1 Nelson, Jon A1 Reda, Sherief PB IEEE Press YR 2020 K1 IoT K1 approximate computing K1 human activity recognition K1 low-power sensing K1 wearable devices K1 Computing methodologies K1 Machine learning K1 Computer systems organization K1 Embedded and cyber-physical systems K1 Real-time systems SP 1 OP 6 LK http://dx.doi.org/https://dl.acm.org/doi/10.5555/3437539.3437659 DO https://dl.acm.org/doi/10.5555/3437539.3437659 SF ELIB - SuUB Bremen
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