Zobrazeno 1 - 10
of 913
pro vyhledávání: '"ZHANG Shuxin"'
Publikováno v:
Heliyon, Vol 8, Iss 11, Pp e11952- (2022)
A 5000m3 single deck floating roof crude oil storage tank was found to have a cracked Q345R bottom plate during an open tank inspection. To analyze the cause of the failure, a series of experiments were carried out. The results showed that the chemic
Externí odkaz:
https://doaj.org/article/704e850d5eee4a7d80c28e85e6aad762
Publikováno v:
E3S Web of Conferences, Vol 393, p 02026 (2023)
During well repair operations in an oil field, a Φ73.02 mm×5.51 mm N80 grade flat oil pipe with a circular hole was found. The depth of the well is between 550 meters to 2100 meters, with a usage cycle of 120 days. In order to figure out the root c
Externí odkaz:
https://doaj.org/article/5d5fb172b7764172aa3c64be88dbc055
Accurate passenger flow prediction of urban rail transit is essential for improving the performance of intelligent transportation systems, especially during the epidemic. How to dynamically model the complex spatiotemporal dependencies of passenger f
Externí odkaz:
http://arxiv.org/abs/2210.09043
Publikováno v:
In Nano Energy 15 December 2024 132
Autor:
Kou, Chenxi, Song, Feiyang, Li, Dandan, Xu, Hongyang, Zhang, Shuxin, Yang, Wei, Shi, Wenchong, Gao, Zheng
Publikováno v:
In New Crops December 2024 1
Autor:
Huang, Lu, Wang, Qiubei, Zhang, Shuxin, Yu, Faxian, Li, Shengnan, Zhong, Huan, Zhao, Rurong, Tao, Min
Publikováno v:
In Reproduction and Breeding December 2024 4(4):221-233
Autor:
Wang, Shumei, Li, Zhenzhen, Ma, Siyue, Zhang, Shuxin, Guo, Shuxian, Ma, Zhao, Du, Lupei, Li, Minyong
Publikováno v:
In Bioorganic Chemistry December 2024 153
Autor:
Liao, Anmin, Zhang, Shuxin, Yu, Qiuyan, Wang, Yude, Tan, Huifang, Wu, Ping, Ding, Yue, Hu, Biao, Liu, Wuxia, Tao, Min, Zhang, Chun, Qin, Qinbo, Luo, Kaikun, Tang, Chenchen, Liu, Qizhi, Liu, Shaojun
Publikováno v:
In Aquaculture 30 January 2025 595 Part 1
Publikováno v:
In Water Research 1 January 2025 268 Part A
The short term passenger flow prediction of the urban rail transit system is of great significance for traffic operation and management. The emerging deep learning-based models provide effective methods to improve prediction accuracy. However, most o
Externí odkaz:
http://arxiv.org/abs/2203.00007