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Poster Abstract: Trade-off Analysis of Inference Accuracy a..:
, In:
2022 21st ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN)
,
Tran, Minh Tuan
;
Sandhu, Muhammad Moid
;
Khalifa, Sara
.. - p. 543-544 , 2022
Link:
https://doi.org/10.1109/IPSN54338.2022.00072
RT T1 <cTitle>2022 21st ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN)</cTitle>: T1 <Title>Poster Abstract: Trade-off Analysis of Inference Accuracy and Resource Usage for Energy-Positive Activity Recognition</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9825947&Exemplar=1&LAN=DE A1 Tran, Minh Tuan A1 Sandhu, Muhammad Moid A1 Khalifa, Sara A1 Ramachandran, Gowri A1 Jurdak, Raja YR 2022 K1 Energy consumption K1 Scheduling algorithms K1 Signal sampling K1 Switches K1 Production K1 Activity recognition K1 Predictive models K1 batteryless IoT K1 deep learning K1 energy-positive K1 activity recognition SP 543 OP 544 LK http://dx.doi.org/https://doi.org/10.1109/IPSN54338.2022.00072 DO https://doi.org/10.1109/IPSN54338.2022.00072 SF ELIB - SuUB Bremen
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