Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Faren Yan"'
Publikováno v:
Electronics Letters, Vol 57, Iss 5, Pp 232-234 (2021)
Abstract This letter proposes a fully domain‐independent WiFi‐based gesture recognition system based on the multi‐label adversarial network. Unlike pioneer machine learning works, our system does not require retraining in the target domain, whi
Externí odkaz:
https://doaj.org/article/7261f913affc48a19dc545e2c194460d
Publikováno v:
Sensors, Vol 21, Iss 3, p 950 (2021)
Deep learning technology has improved the performance of vision-based action recognition algorithms, but such methods require a large number of labeled training datasets, resulting in weak universality. To address this issue, this paper proposes a no
Externí odkaz:
https://doaj.org/article/228886bda6924c159ef018b7075c8ccb
Publikováno v:
SSRN Electronic Journal.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::460f86306399559a94a80f6fd04c80c5
https://doi.org/10.2139/ssrn.4126864
https://doi.org/10.2139/ssrn.4126864
Publikováno v:
Proceedings of the 27th Annual International Conference on Mobile Computing and Networking.
Aiming at problems of under-fitting and poor model robustness in learning-based wireless sensing methods caused by the lack of large-scale wireless sensing datasets, this paper proposes a privacy-friendly collaborative wireless sensing framework, cal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a18b2812c33c79d6750a79b4e9c9e6c9
https://doi.org/10.1145/3447993.3482859
https://doi.org/10.1145/3447993.3482859
Publikováno v:
Electronics Letters, Vol 57, Iss 5, Pp 232-234 (2021)
This letter proposes a fully domain‐independent WiFi‐based gesture recognition system based on the multi‐label adversarial network. Unlike pioneer machine learning works, our system does not require retraining in the target domain, which benefi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f2572b2938aae6738256319745bf6062
https://doi.org/10.1049/ell2.12097
https://doi.org/10.1049/ell2.12097
Publikováno v:
Sensors
Volume 21
Issue 3
Sensors, Vol 21, Iss 950, p 950 (2021)
Sensors (Basel, Switzerland)
Volume 21
Issue 3
Sensors, Vol 21, Iss 950, p 950 (2021)
Sensors (Basel, Switzerland)
Deep learning technology has improved the performance of vision-based action recognition algorithms, but such methods require a large number of labeled training datasets, resulting in weak universality. To address this issue, this paper proposes a no
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2032d85cfbf71114a74833bc45df1bb4
Publikováno v:
SenSys
COVID-19 outbreaks rapidly around the world, which is the enemy faced by all humankind. Since COVID-19 is mainly spread through close personal contact, searching close-contacts is key to controlling this virus's spread. This paper designs COVID-19 Tr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d4e12ef7ce01ed153bbcdf16215016a9
https://doi.org/10.1145/3384419.3430604
https://doi.org/10.1145/3384419.3430604