Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Zhuohao Shi"'
Autor:
Jun Zeng, Ying Chen, Guojie Xu, Zhuohao Shi, Zhifeng Luo, Fengbin Liu, Xiaojie Chen, Zebiao Zou, Han Wang, Zhiyun Du
Publikováno v:
AIP Advances, Vol 14, Iss 4, Pp 045330-045330-8 (2024)
Continuous nanofiber yarns were prepared using the electro-blown and hanging yarn process. Unlike typical electrospinning devices, this method uniquely controls the spinning process to induce the hanging phenomenon, and the resulting hanging yarn is
Externí odkaz:
https://doaj.org/article/95e90b75b93246d78ae8b1c824689cbc
Autor:
Daohua Zhan, Renbin Huang, Kunran Yi, Xiuding Yang, Zhuohao Shi, Ruinan Lin, Jian Lin, Han Wang
Publikováno v:
Micromachines, Vol 14, Iss 9, p 1737 (2023)
To address the challenges of complex backgrounds, small defect sizes, and diverse defect types in defect detection of wire bonding X-ray images, this paper proposes a convolutional-neural-network-based defect detection method called YOLO-CSS. This me
Externí odkaz:
https://doaj.org/article/58bafb49575d412282ee04307955f4e5
Autor:
Han Wang, Xiuding Yang, Bei Zhou, Zhuohao Shi, Daohua Zhan, Renbin Huang, Jian Lin, Zhiheng Wu, Danfeng Long
Publikováno v:
Materials, Vol 16, Iss 7, p 2811 (2023)
In order to improve the detection accuracy of the surface defect detection of industrial hot rolled strip steel, the advanced technology of deep learning is applied to the surface defect detection of strip steel. In this paper, we propose a framework
Externí odkaz:
https://doaj.org/article/6f6adb5add144aeb968861369cc275a3