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1 Ergebnisse
1
An Edge AI System-on-Chip Design with Customized Convolutio..:
, In:
2019 IEEE Biomedical Circuits and Systems Conference (BioCAS)
,
Huang, Yu-De
;
Wang, Kai-Yen
;
Ho, Yun-Lung
.. - p. 1-4 , 2019
Link:
https://doi.org/10.1109/BIOCAS.2019.8919038
RT T1 <cTitle>2019 IEEE Biomedical Circuits and Systems Conference (BioCAS)</cTitle>: T1 <Title>An Edge AI System-on-Chip Design with Customized Convolutional-Neural-Network Architecture for Real-time EEG-Based Affective Computing System</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-8919038&Exemplar=1&LAN=DE A1 Huang, Yu-De A1 Wang, Kai-Yen A1 Ho, Yun-Lung A1 He, Chang-Yuan A1 Fang, Wai-Chi YR 2019 K1 Electroencephalography K1 Emotion recognition K1 Training K1 Brain modeling K1 Feature extraction K1 Convolution K1 Real-time systems K1 Emotion Recognition K1 Convolutional Neural Network K1 Deep Learning Chip K1 On-chip Learning K1 Real-time EEG System K1 Human-Computer Interaction SP 1 OP 4 LK http://dx.doi.org/https://doi.org/10.1109/BIOCAS.2019.8919038 DO https://doi.org/10.1109/BIOCAS.2019.8919038 SF ELIB - SuUB Bremen
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