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1 Ergebnisse
1
Energy-Efficient Intelligent Pulmonary Auscultation for Pos..:
, In:
2022 IEEE International Symposium on Circuits and Systems (ISCAS)
,
Liu, Bingqiang
;
Wen, Ziyuan
;
Zhu, Hongling
... - p. 2220-2224 , 2022
Link:
https://doi.org/10.1109/ISCAS48785.2022.9937985
RT T1 <cTitle>2022 IEEE International Symposium on Circuits and Systems (ISCAS)</cTitle>: T1 <Title>Energy-Efficient Intelligent Pulmonary Auscultation for Post COVID-19 Era Wearable Monitoring Enabled by Two-Stage Hybrid Neural Network</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9937985&Exemplar=1&LAN=DE A1 Liu, Bingqiang A1 Wen, Ziyuan A1 Zhu, Hongling A1 Lai, Jinsheng A1 Wu, Jiajun A1 Ping, Heng A1 Liu, Wenqing A1 Yu, Guoyi A1 Zhang, Jianmin A1 Liu, Zuozhu A1 Zeng, Hesong A1 Wang, Chao YR 2022 SN 2158-1525 K1 COVID-19 K1 Training K1 Computational modeling K1 Neural networks K1 Urban areas K1 Lung K1 Transforms K1 Post COVID-19 Era K1 Intelligent Pulmonary Auscultation K1 Lung Sound K1 Wearable Monitoring K1 Inter-patient K1 Two-Stage Hybrid Neural Network SP 2220 OP 2224 LK http://dx.doi.org/https://doi.org/10.1109/ISCAS48785.2022.9937985 DO https://doi.org/10.1109/ISCAS48785.2022.9937985 SF ELIB - SuUB Bremen
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