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1 Ergebnisse
1
Poster: Quantifying Signal Quality Using Autoencoder for Ro..:
, In:
2023 IEEE/ACM Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE)
,
Xie, Zongxing
;
Nederlander, Ava
;
Park, Isac
. - p. 187-188 , 2023
Link:
https://doi.org/10.1145/3580252.3589999
RT T1
2023 IEEE/ACM Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE)
: T1
Poster: Quantifying Signal Quality Using Autoencoder for Robust RF-based Respiration Monitoring
UL https://suche.suub.uni-bremen.de/peid=ieee-10183686&Exemplar=1&LAN=DE A1 Xie, Zongxing A1 Nederlander, Ava A1 Park, Isac A1 Ye, Fan YR 2023 SN 2832-2975 K1 Radio frequency K1 Neural networks K1 Training data K1 Self-supervised learning K1 Manuals K1 Interference K1 Robustness K1 Vital signs monitoring K1 RF sensing K1 signal quality assessment K1 signal reconstruction K1 unsupervised learning K1 autoencoder (AE) SP 187 OP 188 LK http://dx.doi.org/https://doi.org/10.1145/3580252.3589999 DO https://doi.org/10.1145/3580252.3589999 SF ELIB - SuUB Bremen
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