Zobrazeno 1 - 10
of 44
pro vyhledávání: '"Qinwei, Li"'
Autor:
Liying Su, Yitao Wang, Dezhao Zhai, Yuping Shi, Yinghao Ding, Guohua Gao, Qinwei Li, Ming Yu, Hang Wu
Publikováno v:
Applied Sciences, Vol 14, Iss 20, p 9551 (2024)
Heart rate (HR) is an important indicator reflecting the overall physical and mental health of the human body, playing a crucial role in diagnosing cardiovascular and neurological diseases. Recent research has revealed that variations in the light ab
Externí odkaz:
https://doaj.org/article/d60d69c1cd99413788dc5adc469861b7
Publikováno v:
发电技术, Vol 42, Iss 3, Pp 306-312 (2021)
Due to the randomness and volatility of the wind direction, wind turbine orientation control used on the yaw system of the wind turbine, and the failure of the wind turbine led by yaw frequently. The current situation of yaw control strategy was revi
Externí odkaz:
https://doaj.org/article/36a7960391144062bbb076cdd0f31471
Publikováno v:
IEEE Access, Vol 8, Pp 157418-157426 (2020)
Electroencephalography (EEG) signal processing through imagery inputs using intelligent computation methods are practiced in the recent years for improving the accuracy of detecting neural disorders. Classification and analysis of the input imagery r
Externí odkaz:
https://doaj.org/article/9bddba534e0f460cb14e02c4135166b2
Autor:
Qinwei Li, Wenchao Jia
Publikováno v:
Energies, Vol 16, Iss 3, p 1503 (2023)
The phase selection and fault location methods of generator stator winding single-phase grounding fault are greatly affected by the transition resistance. A new phase selection and generator stator ground fault location approach based on the BP neura
Externí odkaz:
https://doaj.org/article/7971a2e87a5c4861936a30433fa1e8a6
Publikováno v:
IEEE Transactions on Microwave Theory and Techniques. 71:773-783
Publikováno v:
IEEE Sensors Journal. 22:23464-23475
Autor:
Ping, Hu, Rui, Song, Kuaishe, Wang, Fan, Yang, Boliang, Hu, Zhen-yu, Chen, Qinwei, Li, Weicheng, Cao, Dongxin, Liu, Lei, Guo, Hailiang, Yu
Publikováno v:
In Rare Metal Materials and Engineering May 2017 46(5):1225-1230
Publikováno v:
2022 IEEE MTT-S International Microwave Workshop Series on Advanced Materials and Processes for RF and THz Applications (IMWS-AMP).
Publikováno v:
Journal of Electrical Engineering & Technology. 16:2183-2190
A method of improving the resolution of the detected blood glucose level by using the microwave detection technique is proposed in this paper. In this proposed method, the matrix pencil method and the artificial neural network are combined to help im
Publikováno v:
IEEE Transactions on Instrumentation and Measurement. 70:1-10
A precise noninvasive estimation method for blood glucose concentration is proposed using an improved neural network model and hybrid optimization (INNHO) method. This method consists of a modified back propagation neural network model and a hybrid l