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1 Ergebnisse
1
CHA-Sens: An End-to-End Comprehensive Residual Convolution ..:
, In:
2023 26th International Conference on Computer Supported Cooperative Work in Design (CSCWD)
,
Zhou, Fujia
;
Zhang, Wei
;
Zhu, Guangxu
.. - p. 113-118 , 2023
Link:
https://doi.org/10.1109/CSCWD57460.2023.10152782
RT T1 <cTitle>2023 26th International Conference on Computer Supported Cooperative Work in Design (CSCWD)</cTitle>: T1 <Title>CHA-Sens: An End-to-End Comprehensive Residual Convolution Framework for CSI-based Human Activity Sensing</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10152782&Exemplar=1&LAN=DE A1 Zhou, Fujia A1 Zhang, Wei A1 Zhu, Guangxu A1 Li, Hang A1 Shi, Qingjiang YR 2023 SN 2768-1904 K1 Adaptation models K1 Tensors K1 Convolution K1 Surveillance K1 Transforms K1 Feature extraction K1 Sensors K1 Human activity recognition (HAR) K1 Human-to-human interaction (HHI) K1 Channel state information (CSI) K1 Deep learning (DL) K1 Wireless Fidelity (Wi-Fi) sensing SP 113 OP 118 LK http://dx.doi.org/https://doi.org/10.1109/CSCWD57460.2023.10152782 DO https://doi.org/10.1109/CSCWD57460.2023.10152782 SF ELIB - SuUB Bremen
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