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CASIA OpenIR
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A pixel-level deep segmentation network for automatic defect detection 期刊论文
EXPERT SYSTEMS WITH APPLICATIONS, 2023, 卷号: 215, 页码: 11
作者:  Yang, Lei;  Xu, Shuai;  Fan, Junfeng;  Li, En;  Liu, Yanhong
收藏  |  浏览/下载：256/0  |  提交时间：2023/02/22
Defect detection  Deep convolutional neural network  U-shape network  ConvLSTM network  
PLE-Net: Automatic power line extraction method using deep learning from aerial images 期刊论文
EXPERT SYSTEMS WITH APPLICATIONS, 2022, 卷号: 198, 页码: 9
作者:  Yang, Lei;  Fan, Junfeng;  Huo, Benyan;  Li, En;  Liu, Yanhong
收藏  |  浏览/下载：190/0  |  提交时间：2022/07/25
Power line extraction  Deep architecture  Image segmentation  Multi-scale attention module  
A light defect detection algorithm of power insulators from aerial images for power inspection 期刊论文
NEURAL COMPUTING & APPLICATIONS, 2022, 页码: 11
作者:  Yang, Lei;  Fan, Junfeng;  Song, Shouan;  Liu, Yanhong
收藏  |  浏览/下载：156/0  |  提交时间：2022/07/25
Insulator location  Defect identification  Transfer learning  Dempster-Shafer evidence theory  
A nondestructive automatic defect detection method with pixelwise segmentation 期刊论文
KNOWLEDGE-BASED SYSTEMS, 2022, 卷号: 242, 页码: 12
作者:  Yang, Lei;  Fan, Junfeng;  Huo, Benyan;  Li, En;  Liu, Yanhong
收藏  |  浏览/下载：173/0  |  提交时间：2022/06/10
Defect detection  Deep architecture  Image segmentation  Attention fusion  Residual dense connection convolution  network  
Vision-Based Power Line Segmentation With an Attention Fusion Network 期刊论文
IEEE SENSORS JOURNAL, 2022, 卷号: 22, 期号: 8, 页码: 8196-8205
作者:  Yang, Lei;  Fan, Junfeng;  Xu, Shuai;  Li, En;  Liu, Yanhong
收藏  |  浏览/下载：206/0  |  提交时间：2022/07/25
Power transmission lines  Inspection  Feature extraction  Sensors  Image segmentation  Navigation  Vision sensors  Power line extraction  deep network architecture  image segmentation  multi-scale feature fusion  attention module  
Image Denoising of Seam Images With Deep Learning for Laser Vision Seam Tracking 期刊论文
IEEE SENSORS JOURNAL, 2022, 卷号: 22, 期号: 6, 页码: 6098-6107
作者:  Yang, Lei;  Fan, Junfeng;  Huo, Benyan;  Li, En;  Liu, Yanhong
收藏  |  浏览/下载：202/0  |  提交时间：2022/06/10
Welding  Laser noise  Sensors  Robots  Laser modes  Feature extraction  Lasers  Deep network architecture  image denoising  seam tracking  robot welding  structured light vision  
Kinematics, dynamics, and load distribution analysis of a 4-PPPS redundantly actuated parallel manipulator 期刊论文
MECHANISM AND MACHINE THEORY, 2022, 卷号: 167, 页码: 22
作者:  Liu, Zhaoyang;  Tao, Rui;  Fan, Junfeng;  Wang, Zhe;  Jing, Fengshui;  Tan, Min
收藏  |  浏览/下载：214/0  |  提交时间：2021/11/04
Redundant parallel manipulator  Kinematics  Dynamics  Screw theory  Load distribution  
An Automatic Deep Segmentation Network for Pixel-Level Welding Defect Detection 期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2022, 卷号: 71, 页码: 10
作者:  Yang, Lei;  Song, Shouan;  Fan, Junfeng;  Huo, Benyan;  Li, En;  Liu, Yanhong
收藏  |  浏览/下载：179/0  |  提交时间：2022/06/06
Welding  Feature extraction  Image segmentation  Inspection  X-ray imaging  Manufacturing  Task analysis  Attention model  convolutional long short-term memory (ConvLSTM)  defect detection  feature fusion  hybrid loss  image segmentation  
Inspection of Welding Defect Based on Multi-feature Fusion and a Convolutional Network 期刊论文
JOURNAL OF NONDESTRUCTIVE EVALUATION, 2021, 卷号: 40, 期号: 4, 页码: 11
作者:  Yang, Lei;  Fan, Junfeng;  Huo, Benyan;  Liu, Yanhong
收藏  |  浏览/下载：135/0  |  提交时间：2021/12/28
Welding defect  X-ray detection  Transfer learning  Multi-feature fusion  Dempster-Shafer evidence theory  
A Vibration Control Method for Hybrid-Structured Flexible Manipulator Based on Sliding Mode Control and Reinforcement Learning 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 卷号: 32, 期号: 2, 页码: 841-852
作者:  Long, Teng;  Li, En;  Hu, Yunqing;  Yang, Lei;  Fan, Junfeng;  Liang, Zize;  Guo, Rui
收藏  |  浏览/下载：200/0  |  提交时间：2021/03/29
Vibrations  Mathematical model  Manipulator dynamics  Torque  Robustness  Neural networks  Hybrid-structured flexible manipulator  reinforcement learning  sliding mode control  vibration control method