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1 Ergebnisse
1
Human Activities Recognition with Amplitude-Phase of Channe..:
, In:
2022 IEEE 17th Conference on Industrial Electronics and Applications (ICIEA)
,
Ming, Xing
;
Cheng, Wei
;
Zhu, RuoLan
... - p. 1-6 , 2022
Link:
https://doi.org/10.1109/ICIEA54703.2022.10006309
RT T1 <cTitle>2022 IEEE 17th Conference on Industrial Electronics and Applications (ICIEA)</cTitle>: T1 <Title>Human Activities Recognition with Amplitude-Phase of Channel State Information using Deep Residual Networks</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10006309&Exemplar=1&LAN=DE A1 Ming, Xing A1 Cheng, Wei A1 Zhu, RuoLan A1 Zhou, Yue A1 Liu, XiaoRui A1 Yan, BeiMing A1 Zhu, Lei YR 2022 SN 2158-2297 K1 Industrial electronics K1 Neural networks K1 Time series analysis K1 Supervised learning K1 Transforms K1 Feature extraction K1 Windows K1 activity recognition K1 DRSN K1 CSI K1 amplitude and phase SP 1 OP 6 LK http://dx.doi.org/https://doi.org/10.1109/ICIEA54703.2022.10006309 DO https://doi.org/10.1109/ICIEA54703.2022.10006309 SF ELIB - SuUB Bremen
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