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1 Ergebnisse
1
e-G2C: A 0.14-to-8.31 µJ/Inference NN-based Processor with ..:
, In:
2022 IEEE Symposium on VLSI Technology and Circuits (VLSI Technology and Circuits)
,
Zhao, Yang
;
Zhang, Yongan
;
Fu, Yonggan
... - p. 252-253 , 2022
Link:
https://doi.org/10.1109/VLSITechnologyandCir46769.2022..
RT T1 <cTitle>2022 IEEE Symposium on VLSI Technology and Circuits (VLSI Technology and Circuits)</cTitle>: T1 <Title>e-G2C: A 0.14-to-8.31 µJ/Inference NN-based Processor with Continuous On-chip Adaptation for Anomaly Detection and ECG Conversion from EGM</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9830335&Exemplar=1&LAN=DE A1 Zhao, Yang A1 Zhang, Yongan A1 Fu, Yonggan A1 Ouyang, Xu A1 Wan, Cheng A1 Wu, Shang A1 Banta, Anton A1 John, Mathews M. A1 Post, Allison A1 Razavi, Mehdi A1 Cavallaro, Joseph A1 Aazhang, Behnaam A1 Lin, Yingyan YR 2022 SN 2158-9682 K1 Multiplexing K1 Artificial neural networks K1 Very large scale integration K1 Electrocardiography K1 Real-time systems K1 Hybrid power systems K1 Energy efficiency SP 252 OP 253 LK http://dx.doi.org/https://doi.org/10.1109/VLSITechnologyandCir46769.2022.9830335 DO https://doi.org/10.1109/VLSITechnologyandCir46769.2022.9830335 SF ELIB - SuUB Bremen
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