Zobrazeno 1 - 10
of 316
pro vyhledávání: '"XU Shaohui"'
Autor:
ZHOU Mingling, SUN Liangliang, LYU Junyang, WANG Bin, LIU Xiangdong, BAO Zhongyi, ZHANG Qibin, ZHOU Xiaoping, XIE Tianci, WANG Shanshan, LIU Caijie, XU Shaohui, YAN Chunming, ZHANG Peng, ZHANG Liangliang, YANG Zhenliang, FAN Jiameng, ZHAO Chengle, GUO Meili, LI Ruixiang
Publikováno v:
Dizhi lixue xuebao, Vol 30, Iss 5, Pp 747-767 (2024)
[Objective] Jiaojia-type gold deposit is a new type of gold mine discovered by Shandong geologists in northwestern Jiaodong in the 1960s, and its output is controlled by regional tectonic fracture zones. Pyrite sericitized alteration generally occurr
Externí odkaz:
https://doaj.org/article/e6a03cf7a2d345eab43ceabef6938da0
Autor:
Li, Jiale, Gu, Weigang, Wu, Dajun, Hong, Xuekun, Tao, Shi, Qian, Bin, Xu, Shaohui, Chu, Paul K.
Publikováno v:
In Colloids and Surfaces A: Physicochemical and Engineering Aspects 20 November 2024 703 Part 1
Publikováno v:
In Journal of Building Engineering 15 November 2024 97
Autor:
Wang, Xue, Yang, Caijin, Zhang, Youyuan, Xiong, Dayuan, Xu, Shaohui, Wang, Lianwei, Jiang, Lin, Sorokin, Pavel B., Chu, Paul K.
Publikováno v:
In Journal of Alloys and Compounds 15 June 2024 988
Autor:
Tang, Yanyan, Huang, Zhong, Xu, Shaohui, Zhou, Wenjie, Ren, Jianjun, Yu, Fuxin, Wang, Jingshan, Ma, Wujun, Qiao, Lixian
Publikováno v:
In The Crop Journal June 2024 12(3):856-865
Autor:
Zhang, Youyuan, Wu, Dajun, Yang, Caijing, Li, Yun, Yang, Zhenzhong, Xu, Shaohui, Xiong, Dayuan, Wang, Lianwei, Chu, Paul K.
Publikováno v:
In International Journal of Hydrogen Energy 10 April 2024 62:418-428
Autor:
Shi, Huiyun, Zhang, Youyuan, Pang, Ning, Wu, Dajun, Yang, Zhenzhong, Xu, Shaohui, Xiong, Dayuan, Wang, Lianwei, Yang, Pingxiong, Chu, Paul K.
Publikováno v:
In Electrochimica Acta 20 January 2024 475
Autor:
Pang, Ning, Wang, Mengqiu, Wang, Xue, Xiong, Dayuan, Xu, Shaohui, Lu, Xuehui, Wang, Lianwei, Jiang, Lin, Chu, Paul K.
Publikováno v:
In Materials Science & Engineering B January 2024 299
The generative adversarial network (GAN) exhibits great superiority in the face attribute synthesis task. However, existing methods have very limited effects on the expansion of new attributes. To overcome the limitations of a single network in new a
Externí odkaz:
http://arxiv.org/abs/2004.06904
Akademický článek
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