Basic Application of Deep Convolutional Neural Network to Visual Inspection-Reference-Cited by-同舟云学术

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Basic Application of Deep Convolutional Neural Network to Visual Inspection

Published:2018 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of The 6th IIAE International Conference on Industrial Application Engineering 2018
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Author:

Nagata Fusaomi,Tokuno Kenta,Tamano Hisami,Nakamura Hitoshi,Tamura Makoto,Kato Kenjiro,Otsuka Akimasa,Ikeda Takeshi,Watanabe Keigo,Habib Maki K.

Publisher

The Institute of Industrial Application Engineers

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Deep Learning-Based Automatic Detection of Defective Tablets in Pharmaceutical Manufacturing;IFMBE Proceedings;2021-08-26

2. Comparison of the Accuracy of Defect Detection in a Simple Task of Label Inspection –Investigation of the Number of Training Samples for Deep Learning to Be Equivalent to Human Visual Capability–;Journal of the Japan Society for Precision Engineering;2020-12-05

3. Development of Design and Training Application for Deep Convolutional Neural Networks and Support Vector Machines;Machine Vision and Navigation;2019-10-01

4. A Design and Training Application for Deep Convolutional Neural Networks and Support Vector Machines Developed on MATLAB;Lecture Notes in Mechanical Engineering;2019-06-16

5. Automated quality assurance as an intelligent cloud service using machine learning;Procedia CIRP;2019

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