Zobrazeno 1 - 10
of 4 094
pro vyhledávání: '"ZHANG Zhiyuan"'
Publikováno v:
Cailiao gongcheng, Vol 52, Iss 4, Pp 138-145 (2024)
In order to study the corrosion resistance of three different superhydrophobic coatings (MZS-1, MZS-2 and ZnO@ZIF-8) on AZ91D magnesium alloy surface in 5% (mass fraction) NaCl solution. The microstructure, wettability and corrosion resistance of the
Externí odkaz:
https://doaj.org/article/b25b7ae09086424b97c6844786314d14
Autor:
Zhang Zhiyuan
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
Aesthetic education is the right thing to do in higher education institutions to establish moral education. To accurately grasp the basic concept of educating people with beauty, effectively integrate the academic and practical teaching resources of
Externí odkaz:
https://doaj.org/article/a8b3b5de065846c4b6341d48f83c9851
Publikováno v:
Guan'gai paishui xuebao, Vol 42, Iss 5, Pp 82-89 (2023)
【Objective】 Improving irrigation water use efficiency is critical to developing water-saving agriculture. The aim of this paper is to present and validate a model to comprehensively evaluate irrigation water use efficiency. 【Method】 The model
Externí odkaz:
https://doaj.org/article/2bc915eb7aba41ad8a5262ed269c1231
Publikováno v:
Jisuanji kexue yu tansuo, Vol 17, Iss 2, Pp 376-384 (2023)
The clustering method based on deep learning can automatically learn the latent features of data, and can be easily generalized to large-scale datasets with high-dimension. Traditional deep clustering methods pay more at-tention to extracting hidden
Externí odkaz:
https://doaj.org/article/3f58f2501c06479b9478d28ff6e9f77c
Autor:
WANG Hanbi, CHEN Jie, ZHANG Zhiyuan, ZHAO Chunxia, WU Tong, MEN Xiaoliang, LI Zhaozhao, SUN Aijun
Publikováno v:
Xiehe Yixue Zazhi, Vol 13, Iss 6, Pp 1110-1113 (2022)
Objective To explore the teaching effect of the teaching mode changed from traditional teaching to online teaching after the outbreak of coronavirus disease 2019 (COVID-19) pandemic. Methods Relying on the Beijing Women's Health Care Technology Impro
Externí odkaz:
https://doaj.org/article/fccda635262f4eed8b9279affc605cbe
Publikováno v:
Xi'an Gongcheng Daxue xuebao, Vol 36, Iss 4, Pp 54-62 (2022)
In order to solve the problem of low photoelectric conversion efficiency caused by high operating temperature of photovoltaic modules, a pre-spray cooling system for photovoltaic modules driven by buoyancy was proposed. Based on Fluent 2020R2 softwar
Externí odkaz:
https://doaj.org/article/15f741b0dbf3482e86e6b557cf87ad59
Publikováno v:
Meikuang Anquan, Vol 53, Iss 2, Pp 1-8 (2022)
In order to investigate the influence of surrounding rock characteristics on gas drainage of through layer borehole in composite reservoir, the seepage law of gas in coal seam and rock stratum is analyzed. Based on the fluid solid coupling model of g
Externí odkaz:
https://doaj.org/article/44f11417bc4d406c8b9f843e04ce116c
We prove many new cases of Zimmer's conjecture for actions by lattices in non-$\mathbb{R}$-split semisimple Lie groups $G$. By prior arguments, Zimmer's conjecture reduces to studying certain probability measures invariant under a minimal parabolic s
Externí odkaz:
http://arxiv.org/abs/2411.13858
Scene graphs offer a structured, hierarchical representation of images, with nodes and edges symbolizing objects and the relationships among them. It can serve as a natural interface for image editing, dramatically improving precision and flexibility
Externí odkaz:
http://arxiv.org/abs/2410.11815
Covariance regression offers an effective way to model the large covariance matrix with the auxiliary similarity matrices. In this work, we propose a sparse covariance regression (SCR) approach to handle the potentially high-dimensional predictors (i
Externí odkaz:
http://arxiv.org/abs/2410.04028