A defect recognition model for cross-section profile of hot-rolled strip based on deep learning-Reference-Cited by-同舟云学术

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A defect recognition model for cross-section profile of hot-rolled strip based on deep learning

Published:2023-10-24 Issue:12 Volume:30 Page:2436-2447
ISSN:1006-706X
Container-title:Journal of Iron and Steel Research International
language:en
Short-container-title:J. Iron Steel Res. Int.

Author:

Li Tian-lun,Sun Wen-quan,He An-rui,Shao Jian,Liu Chao,Zhang Ai-bin,Qiang Yi,Ma Xiang-hong

Funder

National Natural Science Fund of China

China Sponsorship Council

Liuzhou Science and Technology Plan Project Grant

Publisher

Springer Science and Business Media LLC

Subject

Materials Chemistry,Metals and Alloys,Mechanics of Materials

Link

https://link.springer.com/content/pdf/10.1007/s42243-023-01104-2.pdf

Reference31 articles.

1. Y.H. Zuo, China Metallurgy 23 (2013) No. 7, 37–39.

2. Z.G. Zhang, Xinjiang Iron and Steel 103 (2007) No. 3, 28–30.

3. J.H. Li, X.D. Qi, J.C. Lian, X.D. Liu, Z.L. Jiang, Iron and Steel 39 (2004) No. 6, 47–50.

4. H. Liu, T.Q. Gu, M.H. Miu, J. Iron Steel Res. 24 (2012) No. 2, 59–62.

5. Y.D. Wang, B. Yu, H.M. Liu, Y. Peng, Iron and Steel 46 (2011) No. 9, 50–54.

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1. Leveraging Machine Learning Insights at the Hot Strip Rolling Mill, Tata Steel, Port Talbot;2024 IEEE International Instrumentation and Measurement Technology Conference (I2MTC);2024-05-20

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