Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Guang Long Li"'
Autor:
Guang-long Li1,2 liguanglong1990@163.com, Jie Zhang1,2, Meng-yu Wang1, Rui-ming Su1,2, Yang Cao1,2, Ying-dong Qu1,2 quydong@sut.edu.cn
Publikováno v:
China Foundry. May2023, Vol. 20 Issue 3, p218-224. 7p.
Publikováno v:
China Foundry. 20:71-77
Autor:
Yi-li Li, Rui-run Chen, Qi Wang, Wen-chao Cao, Xin-xiu Wang, Yuan Xia, Guo-ping Zhou, Ying-dong Qu, Guang-long Li
Publikováno v:
China Foundry. 19:427-434
Publikováno v:
Journal of Iron and Steel Research International. 29:2006-2015
Autor:
Yi-li Li, Qi Wang, Rui-run Chen, Xin-xiu Wang, Yuan Xia, Guo-ping Zhou, Ying-dong Qu, Guang-long Li
Publikováno v:
International Journal of Metalcasting.
Autor:
Guang Long Li, Jing Huang, Han Sen Soo, Yunxiang Zhao, Ting Li, Yang Wang, Shibo Wang, Weifu Dong
Publikováno v:
European Polymer Journal. :112165
Autor:
Thi Dao Dinh, Yan Chun Xu, Xin Yuan Zhang, Guang Long Li, Cheng Zong, Yue Ma, Thomas D. Dahmer, Han Yu Du
Publikováno v:
Conservation Genetics Resources. 12:669-683
Green peafowl (Pavo muticus), a representative of the Southeast Asia Phasianidae, is assessed as globally endangered with populations that are declining. It is highly sensitive to human disturbance and habitat change, two threats that are unlikely to
Publikováno v:
Science of Advanced Materials. 10:1552-1564
In this study, the spherical silica nanoparticles (denoted as PASP-K-SiO2) were firstly prepared with 3-aminopropyltriethoxy silane (KH550) and polyaspartic acid (PASP) as surface-modifiers by sol–gel method. The PASP-K-SiO2 nanoparticles were well
Publikováno v:
Applied Surface Science. 426:376-385
Dispersible and spherical silica nanoparticles (nano-SiO 2 ) were prepared with tetraethyl silicate and different surface-modifiers via a simple method. The silica nanoparticles surface-modified with methacryloxy (propyl) trimethoxysilane (denoted as
Publikováno v:
Applied Mechanics and Materials. 389:770-775
This paper is mainly talking about processing, analysis and understanding of video signal in intelligent video surveillance, and we designed an efficient target detection and recognition model. Through the model to detect the target object in motion