Spot Welding Defect Detection Using Synthetic Image Dataset on Convolutional Neural Networks-Reference-Cited by-同舟云学术

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Spot Welding Defect Detection Using Synthetic Image Dataset on Convolutional Neural Networks

Published:2021-04-01 Issue: Volume: Page:
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Container-title:2021 7th International Conference on Engineering, Applied Sciences and Technology (ICEAST)
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Author:

Tantrapiwat Akapot

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9426228/9426248/09426309.pdf?arnumber=9426309

Cited by 5 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. A novel system for the classification of zinc-plated components by benchmarking deep neural networks;Expert Systems with Applications;2024-12

2. Swish-ResNet Method for Faulty Weld Detection;2024 IEEE International Symposium on Robotic and Sensors Environments (ROSE);2024-06-20

3. CNN-based classification of the laser assembly process for ultra-small batteries;Journal of Mechanical Science and Technology;2023-12

4. Multispectral optical signatures of micro UAV: acquisition and database for usage in a neural network;Artificial Intelligence and Machine Learning in Defense Applications IV;2022-10-28

5. Deep Learning-Based Weld Contour and Defect Detection from Micrographs of Laser Beam Welded Semi-Finished Products;Applied Sciences;2022-05-05

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