Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Jiachen Kuang"'
Autor:
Hui Li, Guanghua Xu, Zejin Li, Kai Zhang, Xiaowei Zheng, Chenghang Du, Chengcheng Han, Jiachen Kuang, Yuhui Du, Sicong Zhang
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 31, Pp 2486-2496 (2023)
Objective: Improving the Information Transfer Rate (ITR) is a popular research topic in steady-state visual evoked potential (SSVEP)-based brain-computer interfaces (BCIs). The higher recognition accuracy of short-time SSVEP signal is critical to imp
Externí odkaz:
https://doaj.org/article/ded787d29c70434783ab16cb84690c22
Autor:
Qingqiang Wu, Penglin Qin, Jiachen Kuang, Fan Wei, Zejiang Li, Ruping Bian, Chengcheng Han, Guanghua Xu
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 31, Pp 1670-1679 (2023)
objective: Early diagnosis of infant cerebral palsy (CP) is very important for infant health. In this paper, we present a novel training-free method to quantify infant spontaneous movements for predicting CP. Methods: Unlike other classification meth
Externí odkaz:
https://doaj.org/article/07336b33be71439c892739046e312f5c
Autor:
Jiachen Kuang, Tangfei Tao, Qingqiang Wu, Chengcheng Han, Fan Wei, Shengchao Chen, Wenjie Zhou, Cong Yan, Guanghua Xu
Publikováno v:
Sensors, Vol 22, Iss 17, p 6535 (2022)
In real industrial scenarios, intelligent fault diagnosis based on data-driven methods has been widely researched in the past decade. However, data scarcity is widespread in fault diagnosis tasks owning to the difficulties in collecting adequate data
Externí odkaz:
https://doaj.org/article/4ded94b569ce408b8944de03ace43998
Publikováno v:
Sensors, Vol 21, Iss 17, p 5714 (2021)
Planetary gearboxes are the key components of large equipment, such as wind turbines, shield machines, etc. The operating state of the planetary gearbox is related to the safety of the equipment as a whole, and its feature extraction technology is es
Externí odkaz:
https://doaj.org/article/7c94edb6e54d4dcf8656bd9f1bf91b59
Publikováno v:
IEEE Sensors Journal. 23:4000-4010
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::665a8bf8c3fb6ddb612a8fa5fcf30280
https://doi.org/10.1109/jsen.2023.3235370
https://doi.org/10.1109/jsen.2023.3235370
Publikováno v:
ISA Transactions. 130:433-448
In real industrial scenarios, deep learning-based fault diagnosis has been a popular topic lately. Unfortunately, the source-trained model typically usually underperforms in target domain owning to changeable working conditions. To resolve this probl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9120f676d0091d63a7bf15f38667dcd6
https://doi.org/10.1016/j.isatra.2022.03.008
https://doi.org/10.1016/j.isatra.2022.03.008
Publikováno v:
IEEE Sensors Journal. 22:9733-9742
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e734f6a4f85e07c43b8331fa7c60c7e5
https://doi.org/10.1109/jsen.2022.3166540
https://doi.org/10.1109/jsen.2022.3166540
Publikováno v:
IEEE Transactions on Instrumentation and Measurement. 71:1-12
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4128d54c67122ec7f7b6eb46c5d89cb1
https://doi.org/10.1109/tim.2022.3196948
https://doi.org/10.1109/tim.2022.3196948
Publikováno v:
IEEE Transactions on Instrumentation and Measurement. 71:1-11
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::201fe37809c9d13e15ad5a3c62181df1
https://doi.org/10.1109/tim.2022.3178693
https://doi.org/10.1109/tim.2022.3178693
Publikováno v:
IEEE Transactions on Instrumentation and Measurement. 71:1-11
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d6ce341173505d15d45704ac6ff67ffb
https://doi.org/10.1109/tim.2021.3136175
https://doi.org/10.1109/tim.2021.3136175