Online inspection of narrow overlap weld quality using two-stage convolution neural network image recognition
出版年份 2021 全文链接
标题
Online inspection of narrow overlap weld quality using two-stage convolution neural network image recognition
作者
关键词
-
出版物
MACHINE VISION AND APPLICATIONS
Volume 32, Issue 1, Pages -
出版商
Springer Science and Business Media LLC
发表日期
2021-01-03
DOI
10.1007/s00138-020-01158-2
参考文献
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- SDDNet: Real-Time Crack Segmentation
- (2019) Wooram Choi et al. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
- A new approach to oil spill detection that combines deep learning with unmanned aerial vehicles
- (2018) Zeyu Jiao et al. COMPUTERS & INDUSTRIAL ENGINEERING
- Defect detection of hot rolled steels with a new object detection framework called classification priority network
- (2018) Di He et al. COMPUTERS & INDUSTRIAL ENGINEERING
- Machining vibration states monitoring based on image representation using convolutional neural networks
- (2017) Yang Fu et al. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
- Deep neural networks, gradient-boosted trees, random forests: Statistical arbitrage on the S&P 500
- (2017) Christopher Krauss et al. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
- Long-Term Recurrent Convolutional Networks for Visual Recognition and Description
- (2017) Jeff Donahue et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- A comparison of two types of neural network for weld quality prediction in small scale resistance spot welding
- (2017) Xiaodong Wan et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Deep Convolutional Neural Networks for Image Classification: A Comprehensive Review
- (2017) Waseem Rawat et al. NEURAL COMPUTATION
- Weld defect classification using 1-D LBP feature extraction of ultrasonic signals
- (2017) Hongwei Hu et al. Nondestructive Testing and Evaluation
- Construction of hierarchical diagnosis network based on deep learning and its application in the fault pattern recognition of rolling element bearings
- (2016) Meng Gan et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition
- (2015) Kaiming He et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Wood board image processing based on dual-tree complex wavelet feature selection and compressed sensing
- (2015) Yizhuo Zhang et al. WOOD SCIENCE AND TECHNOLOGY
- Failure diagnosis using deep belief learning based health state classification
- (2013) Prasanna Tamilselvan et al. RELIABILITY ENGINEERING & SYSTEM SAFETY
- Theoretical analysis of batch and on-line training for gradient descent learning in neural networks
- (2009) Takéhiko Nakama NEUROCOMPUTING
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