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Dehua Wei
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2020 – today
- 2024
- [j6]Qingfeng Tang
, Xiukun Wei
, Dehua Wei
, Xing Shen
, Xinqiang Yin, Diqing Wang, Limin Jia
, Qitian Zhong
:
High Precision Robust Real-Time Lightweight Approach for Railway Pantograph Slider Wear Estimation. IEEE Trans. Intell. Transp. Syst. 25(5): 3973-3985 (2024) - 2023
- [j5]Dehua Wei
, Xiukun Wei, Qingfeng Tang, Limin Jia, Xinqiang Yin, Yang Ji:
RTLSeg: A novel multi-component inspection network for railway track line based on instance segmentation. Eng. Appl. Artif. Intell. 119: 105822 (2023) - 2022
- [j4]Dehua Wei
, Xiukun Wei
, Limin Jia:
Automatic Defect Description of Railway Track Line Image Based on Dense Captioning. Sensors 22(17): 6419 (2022) - 2020
- [j3]Xiukun Wei
, Dehua Wei, Da Suo, Limin Jia
, Yujie Li:
Multi-Target Defect Identification for Railway Track Line Based on Image Processing and Improved YOLOv3 Model. IEEE Access 8: 61973-61988 (2020)
2010 – 2019
- 2019
- [j2]Xiukun Wei, Ziming Yang, Yuxin Liu, Dehua Wei, Limin Jia, Yujie Li:
Railway track fastener defect detection based on image processing and deep learning techniques: A comparative study. Eng. Appl. Artif. Intell. 80: 66-81 (2019) - [c1]Yongguang Li, Dehua Wei, Xiukun Wei, Kuan Wu, Yong Liang, Xing Shen:
Defects Detection of Catenary Suspension Device Based on Image Processing and CNN. SSCI 2019: 1756-1761 - 2012
- [j1]Liying Wang, Dehua Wei, Jianmin Hou:
Correlation Dimension for Pressure Fluctuation in Hydraulic Turbine Draft Tube. J. Comput. 7(5): 1104-1108 (2012)
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last updated on 2024-06-03 00:57 CEST by the dblp team
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