Zobrazeno 1 - 10
of 145
pro vyhledávání: '"Hu, Wenxing"'
Autor:
Hu, Wenxing, Tong, Minglei
Traditional models focus on horizontal table detection but struggle in rotating contexts, limiting progress in table recognition. This paper introduces a new task: detecting table regions and localizing head-tail parts in rotation scenarios. We propo
Externí odkaz:
http://arxiv.org/abs/2402.03315
Autor:
Hu, Wenxing, Tong, Minglei
To address the problem of scarcity and high annotation costs of rotated image table detection datasets, this paper proposes a method for building a rotated image table detection dataset. Based on the ICDAR2019MTD modern table detection dataset, we re
Externí odkaz:
http://arxiv.org/abs/2303.01894
Publikováno v:
He jishu, Vol 47, Iss 2, Pp 49-57 (2024)
BackgroundAccurately quantifying the uranium in uranium yellow cake material is the key to selecting the subsequent processing technology. As an essential nondestructive testing method for uranium-containing materials, the active multiplicity method
Externí odkaz:
https://doaj.org/article/8ed5e73864fb4f9baa720276c8834f65
Publikováno v:
In iScience 21 June 2024 27(6)
Objective: Multi-modal functional magnetic resonance imaging (fMRI) can be used to make predictions about individual behavioral and cognitive traits based on brain connectivity networks. Methods: To take advantage of complementary information from mu
Externí odkaz:
http://arxiv.org/abs/2101.08316
Publikováno v:
In Medical Image Analysis December 2023 90
Autor:
Hu, Wenxing1 (AUTHOR), Li, Mengshan1 (AUTHOR) msli@gnnu.edu.cn, Xiao, Haiyang1 (AUTHOR), Guan, Lixin1 (AUTHOR)
Publikováno v:
BMC Genomics. 1/10/2024, Vol. 25 Issue 1, p1-14. 14p.
Monitoring of Single-Track Melting States Based on Photodiode Signal during Laser Powder Bed Fusion.
Autor:
Cao, Longchao1,2 (AUTHOR) clc@wtu.edu.cn, Hu, Wenxing1,2 (AUTHOR) wenxinghu37@gmail.com, Zhou, Taotao3 (AUTHOR) kttktt@163.com, Yu, Lianqing1,2 (AUTHOR) yulq@wtu.edu.cn, Huang, Xufeng4 (AUTHOR) huangxufeng@hust.edu.cn
Publikováno v:
Sensors (14248220). Dec2023, Vol. 23 Issue 24, p9793. 16p.
Autor:
Cai, Biao, Zhang, Gemeng, Zhang, Aiying, Xiao, Li, Hu, Wenxing, Stephen, Julia M., Wilson, Tony W., Calhoun, Vince D., Wang, Yu-Ping
The dynamic characteristics of functional network connectivity have been widely acknowledged and studied. Both shared and unique information has been shown to be present in the connectomes. However, very little has been known about whether and how th
Externí odkaz:
http://arxiv.org/abs/2006.09928
Autor:
Zhang, Aiying, Zhang, Gemeng, Cai, Biao, Hu, Wenxing, Xiao, Li, Wilson, Tony W., Stephen, Julia M., Calhoun, Vince D., Wang, Yu-Ping
Functional connectivity (FC) has become a primary means of understanding brain functions by identifying brain network interactions and, ultimately, how those interactions produce cognitions. A popular definition of FC is by statistical associations b
Externí odkaz:
http://arxiv.org/abs/2006.09536