Zobrazeno 1 - 10
of 128
pro vyhledávání: '"Can Qin"'
Publikováno v:
Frontiers in Psychology, Vol 15 (2024)
IntroductionWith the boom in social media, many people spend a lot of time on these platforms. Among them, some developed negative emotions, such as fatigue, depression, or disinterest in communicating, and used social media temporarily or permanentl
Externí odkaz:
https://doaj.org/article/b33974d6c31c407786cd535d178f283d
Publikováno v:
Applied Sciences, Vol 14, Iss 5, p 2147 (2024)
In response to the special feature of the east–west oriented road tunnel entrance being easily exposed to direct sunlight, a study was conducted on the glare phenomenon at the access zone for this type of tunnel and on the time-varying characterist
Externí odkaz:
https://doaj.org/article/8f703ce7b8244837bb1bfe91dabc29db
Publikováno v:
Heliyon, Vol 9, Iss 9, Pp e19471- (2023)
In this study, the non-hypothetical projection pursuit regression (NH-PPR) is proposed. The proposed NH-PPR model can predict the hydration heat based on the four cement phases, FA, SL, cement fineness and hydration time. The NH-PPR model is proposed
Externí odkaz:
https://doaj.org/article/8c5b6b6c17e043e6bc7d5c4449606af3
Publikováno v:
SN Applied Sciences, Vol 4, Iss 10, Pp 1-10 (2022)
Article Highlights 1. The influence degree of each factor on the capture width ratio of the float is in the descending order as follows: Float shape > Float draft depth > Maximum float radius. 2. The optimum energy-capturing frequency of the float is
Externí odkaz:
https://doaj.org/article/cc17e72e1e114aea930ef21ee4f5c3d7
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-14 (2022)
Topology optimization, relevant for materials design and engineering, requires solving of challenging high-dimensional problems. The authors introduce a self-directed online learning approach, as embedding of deep learning in optimization methods, th
Externí odkaz:
https://doaj.org/article/4c7f313e8bb04992a7e4a4afe05fa491
Publikováno v:
Remote Sensing, Vol 12, Iss 1, p 159 (2020)
Because there are many unlabeled samples in hyperspectral images and the cost of manual labeling is high, this paper adopts semi-supervised learning method to make full use of many unlabeled samples. In addition, those hyperspectral images contain mu
Externí odkaz:
https://doaj.org/article/a932f8808df44c0cb18d339f7b94c75d
Autor:
Ying-Can Qin1,2,3,4, Jing Liu2, Xiao-Dong Li2, Ya-Zhen Chen2 CYZ2013060415@163.com, Wei-An Deng1,2,3,4 dengweian5899@163.com
Publikováno v:
ZooKeys. 2023, Issue 1185, p83-104. 22p.
Publikováno v:
Fluid Dynamics & Materials Processing; 2024, Vol. 20 Issue 6, p1251-1263, 13p
Publikováno v:
KSCE Journal of Civil Engineering. 27:2170-2179
Publikováno v:
Journal of the American Chemical Society. 145:3774-3785