Zobrazeno 1 - 10
of 54
pro vyhledávání: '"Yifen Li"'
Autor:
Yifen Li, Yuanyang Chen
Publikováno v:
Mathematics, Vol 11, Iss 12, p 2772 (2023)
Deep learning models with convolutional operators have received widespread attention for their good image denoising performance. However, since the convolutional operation prefers to extract local features, the extracted features may lose some global
Externí odkaz:
https://doaj.org/article/db927aa95d414b178c4d22d09946f96e
Publikováno v:
Journal of Applied Oral Science, Vol 23, Iss 2, Pp 215-223 (2015)
Injectable bone substitutes and techniques have been developed for use in minimally invasive procedures for bone augmentation. Objective : To develop a novel injectable thermo-sensitive alginate hydrogel (TSAH) as a scaffold to induce bone regenerati
Externí odkaz:
https://doaj.org/article/66abb81df02940b1800966643074c934
Publikováno v:
Journal of Traffic and Transportation Engineering (English ed. Online), Vol 1, Iss 2, Pp 129-137 (2014)
In order to ensure stable traffic capacity and avoid incident congestion, a double-layer ramp metering model is proposed in this paper, based on coordination control theory, to predict and control the traffic flow at each on-ramp, when there is incid
Externí odkaz:
https://doaj.org/article/bebb1fd752ec444eb16ab3bbe6d3e97b
Autor:
Shenglei Pei, Yifen Li
Publikováno v:
Applied Sciences, Vol 9, Iss 22, p 4930 (2019)
A power curve of a wind turbine describes the nonlinear relationship between wind speed and the corresponding power output. It shows the generation performance of a wind turbine. It plays vital roles in wind power forecasting, wind energy potential e
Externí odkaz:
https://doaj.org/article/cb1a1e08e4914db78f1a145ee1c6c652
Publikováno v:
IEEE Transactions on Sustainable Energy. :1-12
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fbb34e43eda266ec8c36034b32195d08
https://doi.org/10.1109/tste.2023.3276906
https://doi.org/10.1109/tste.2023.3276906
Autor:
Chen, Yifen Li, Yuanyang
Publikováno v:
Mathematics; Volume 11; Issue 12; Pages: 2772
Deep learning models with convolutional operators have received widespread attention for their good image denoising performance. However, since the convolutional operation prefers to extract local features, the extracted features may lose some global
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=multidiscipl::9210119c8cb826b1446941459afcf396
Publikováno v:
Energy. 270:126908
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b00301f9c1278a614305b2846bb3a1b6
https://doi.org/10.1016/j.energy.2023.126908
https://doi.org/10.1016/j.energy.2023.126908
Autor:
Yifen Li, Anzhong Zhou
Publikováno v:
Applied Intelligence. 51:6255-6264
We present a structural attention network (SAN) for graph modeling, which is a novel approach to learn node representations based on graph attention networks (GATs), with the introduction of two improvements specially designed for graph-structured da
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1ef0b78a2b4f35a3a03a97aa34fe1a30
https://doi.org/10.1007/s10489-021-02214-8
https://doi.org/10.1007/s10489-021-02214-8
Publikováno v:
SAGE Open, Vol 14 (2024)
Public servants have faced substantial accountability pressure during the public emergency. It was evident during the pandemic. However, the factors that influence accountability pressure remain to be examined. In this study, we attempt to demonstrat
Externí odkaz:
https://doaj.org/article/8f180b0a0d6c43ba8f2430209186e3a9
Autor:
Yi Zheng, Hetong Lin, Yueying Sang, Mengshi Lin, Yixiong Lin, Hui Wang, Zhongqi Fan, Yihui Chen, Yifen Lin
Publikováno v:
Food Chemistry: X, Vol 23, Iss , Pp 101609- (2024)
Compared to control longan, DCC-treated longan had higher pulp breakdown index, lower ATP, ADP and EC levels, and lower H+, Ca2+ and Mg2+-ATPase activities. On day 6, DCC-treated longan presented 18% higher pulp breakdown index, with 44%, 9% and 31%
Externí odkaz:
https://doaj.org/article/5cca539657e54210951334e4474b38e9