Zobrazeno 1 - 10
of 33
pro vyhledávání: '"Xunying Zhang"'
Publikováno v:
Shock and Vibration, Vol 2023 (2023)
A rolling bearing fault diagnosis method based on the Volterra series and kernel principal component analysis (KPCA) is proposed. In the proposed method, first, the improved genetic algorithm (IGA) is used to identify the Volterra series model of the
Externí odkaz:
https://doaj.org/article/44df65e3a5404d4cbcfce22d524083bb
Autor:
Longbo Zheng, Xunying Zhang, Jilin Hu, Yuan Gao, Xianxiang Zhang, Maoshen Zhang, Shuai Li, Xiaoming Zhou, Tianye Niu, Yun Lu, Dongsheng Wang
Publikováno v:
Frontiers in Oncology, Vol 10 (2020)
Background: The accurate prediction of the tumor infiltration depth in the gastric wall based on enhanced CT images of gastric cancer is crucial for screening gastric cancer diseases and formulating treatment plans. Convolutional neural networks perf
Externí odkaz:
https://doaj.org/article/cfd9b4b2fe534bfe95e887cf4aeb50e4
Autor:
Yafei Zhao, Xunying Zhang
Publikováno v:
Journal of Engineering Research and Reports. :19-28
Smart irrigation for sustainable agricultural water supply has been a critical initiative. In this paper, a fuzzy control system is designed to realize intelligent and precise irrigation by combining fuzzy control with traditional feedback control ba
Publikováno v:
2022 9th International Forum on Electrical Engineering and Automation (IFEEA).
Autor:
Xunying Zhang, T. E. Simos
Publikováno v:
Journal of Mathematical Chemistry. 57:2049-2074
Autor:
Jihua Xu, Yun-Peng Zhou, Shuai Li, Xianxiang Zhang, Yun Lu, Dongsheng Wang, Zhengdong Zhang, Xunying Zhang
Publikováno v:
Diseases of the colon and rectum. 63(2)
BACKGROUND High-resolution MRI is regarded as the best method to evaluate whether there is an involved circumferential resection margin in rectal cancer. OBJECTIVE We explored the application of the faster region-based convolutional neural network to
Publikováno v:
2019 IEEE International Conference on Unmanned Systems and Artificial Intelligence (ICUSAI).
In order to meet the embedded application requirements of machine learning algorithm, the intelligent target detection and recognition algorithm based on convolutional neural network and corresponding optimal process are studied. Detailed network str
Autor:
Lihua Li, Guo Zhou, Haiyan Meng, Xuejun Kou, Zipeng Xing, Jia Mi, Qingguo Xu, Zhenzi Li, Shuxiang Duan, Xunying Zhang, Min Zhao, Leilei Fan, Liyan Shen
Publikováno v:
Journal of Colloid and Interface Science. 505:1031-1038
Ti3+ self-doped mesoporous black TiO2/graphene assemblies are fabricated by a facile solvothermal method and surface hydrogenation. The structure, crystallinity, morphology, and chemical state of the as-prepared samples are characterized in detail by
Publikováno v:
Journal of Physics: Conference Series. 2006:012012
In order to meet the application requirements of deep learning detection and recognition algorithm for Field Programmable Gate Array (FPGA) computing structure, this paper proposes a machine learning optimization algorithm of convolutional neural net
Autor:
Dongguang Zhang, Honglie Song, Yali Wu, Xiaofeng Yang, Yang Li, Ruizhe Xing, Zhen Ma, Xinxin Wang, Jiayi Yang, Xunying Zhang
Publikováno v:
Advanced Materials Technologies. 6:2100106