particle recognition
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A systematic framework for DEM study of realistic gravel-sand mixture from particle recognition to macro- and micro-mechanical analysis

2021 ◽  
pp. 100693
Author(s):  
Ruidong Li ◽  
Xiangyu Hu ◽  
Fan Chen ◽  
Xiang Wang ◽  
Hao Xiong ◽  
...  
Keyword(s):  
Mechanical Analysis ◽  
Sand Mixture ◽  
Particle Recognition ◽  
Systematic Framework

FFWR-Net: A feature fusion wear particle recognition network for wear particle classification

2021 ◽  
Vol 35 (4) ◽  
pp. 1699-1710
Author(s):  
Suli Fan ◽  
Taohong Zhang ◽  
Xuxu Guo ◽  
Aziguli Wulamu
Keyword(s):  
Feature Fusion ◽  
Wear Particle ◽  
Particle Recognition ◽  
Particle Classification

Biological Particle Recognition Based on BP Neural Network Algorithm

2021 ◽  
pp. 227-232
Author(s):  
Jianqiang Fan ◽  
Shaoquan Jiang ◽  
Chao Zhang ◽  
Zhikun Yang ◽  
Tao Jiang
Keyword(s):  
Neural Network ◽  
Bp Neural Network ◽  
Network Algorithm ◽  
Particle Recognition ◽  
Neural Network Algorithm ◽  
Biological Particle

Research on noise processing and particle recognition algorithm of PTV image

2020 ◽  
Vol 22 (2) ◽  
Author(s):  
Zhibo Liu ◽  
Jia Li ◽  
Fei Zhao ◽  
Xiangji Yue ◽  
Guoliang Xu
Keyword(s):  
Recognition Algorithm ◽  
Particle Recognition

scholarly journals CDCNN: A Model Based on Class Center Vectors and Distance Comparison for Wear Particle Recognition

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 113262-113270
Author(s):  
Taohong Zhang ◽  
Junnan Hu ◽  
Suli Fan ◽  
Yixuan Yu
Keyword(s):  
Wear Particle ◽  
Model Based ◽  
Particle Recognition

A Study on Particle Recognition and Flow Control Using Robot Hand

2020 ◽  
Vol 2020 (0) ◽  
pp. 2A1-J13
Author(s):  
Sara OZEKI ◽  
Ikuo MIZUUCHI
Keyword(s):  
Flow Control ◽  
Robot Hand ◽  
Particle Recognition

FECNN: A promising model for wear particle recognition

Wear ◽  
2019 ◽  
Vol 432-433 ◽  
pp. 202968 ◽  
Author(s):  
Peng Peng ◽  
Jiugen Wang
Keyword(s):  
Wear Particle ◽  
Particle Recognition
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