Zobrazeno 1 - 10
of 300
pro vyhledávání: '"Xu Jingsong"'
Publikováno v:
Advances in Mechanical Engineering, Vol 12 (2020)
At present, in the aspect of numerical simulation of cycloid pump, most studies focused on CFD (Computational Fluid Dynamics) in analyzing the pump performance under different service conditions (such as speed, temperature, etc.). The characteristics
Externí odkaz:
https://doaj.org/article/6ec70780f5d94c1d93008a54ce1c1d22
Publikováno v:
E3S Web of Conferences, Vol 165, p 04073 (2020)
A series of numerical simulations were conducted to study the seismic response in the mountain tunnel portal section. The seismic damage mechanism, including slope cracking and landslide, rockfalls and collapse, and lining cracking were analyzed base
Externí odkaz:
https://doaj.org/article/84b8275651f4473da8ffc620c53124f5
Autor:
Geng, Jun, Roujean, Jean-Louis, Kuusk, Andres, Pang, Yong, Tu, Lili, Zhang, Teng, Xu, Jingsong, Chen, Jing M.
Publikováno v:
In Agricultural and Forest Meteorology 1 June 2024 352
Autor:
Liu, Xie, Sheng, Bo, Zhang, Jianbo, Wang, Jijian, Yu, Jun, Zhang, Guanggang, Dai, Fengshun, Su, Heng, Xu, Jingsong, Hu, Wei, Li, Tong, Zhu, Peng
Publikováno v:
In Heliyon 15 April 2024 10(7)
Inspired by the fact that spreading and collecting information through the Internet becomes the norm, more and more people choose to post for-profit contents (images and texts) in social networks. Due to the difficulty of network censors, malicious m
Externí odkaz:
http://arxiv.org/abs/2005.08706
Autor:
Ba, Jingwen, Chen, Jinfan, Xiong, Renjin, Xu, Jingsong, Li, Haibo, Yan, Xiayan, Qin, Cheng, Li, Rui, Pan, Qifa, Tan, Xinxin, Tang, Tao, Xiang, Xin, Meng, Daqiao
Publikováno v:
In Chemical Engineering Journal 1 January 2024 479
Autor:
Liu, Yu, Xu, Jingsong, Chen, Xiaoying, Yang, Shuang, Li, Jiajun, Zhou, Hongbo, Liu, Qian, Liu, Wei, Li, Min, Wang, Hua
Publikováno v:
In Microchemical Journal January 2024 196
Autor:
Wang, Yuting, Xu, Jingsong, Cao, Li, Yang, Shuang, Zhao, Lina, He, Lei, Shen, Zhen, Lin, Weiwei, Shi, Bishen, Liu, Qian, Huang, Zhi, Li, Min, Wang, Hua
Publikováno v:
In Microchemical Journal August 2023 191
Cross-domain person re-identification (re-ID) is challenging due to the bias between training and testing domains. We observe that if backgrounds in the training and testing datasets are very different, it dramatically introduces difficulties to extr
Externí odkaz:
http://arxiv.org/abs/1908.09086
Deep neural networks have demonstrated advanced abilities on various visual classification tasks, which heavily rely on the large-scale training samples with annotated ground-truth. However, it is unrealistic always to require such annotation in real
Externí odkaz:
http://arxiv.org/abs/1908.01313