Mold breakout prediction based on computer vision and machine learning-Reference-Cited by-同舟云学术

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Mold breakout prediction based on computer vision and machine learning

Published:2024-04-30 Issue:8 Volume:31 Page:1947-1959
ISSN:1006-706X
Container-title:Journal of Iron and Steel Research International
language:en
Short-container-title:J. Iron Steel Res. Int.

Author:

Wang Yan-yu,Wang Qi-can,Zhang Yong-chang,Cheng Yong-hui,Yao Man,Wang Xu-dong^ORCID

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s42243-024-01198-2.pdf

Reference42 articles.

1. A. Faizullin, M. Zymbler, D. Lieftucht, F. Fanghänel, in: 2018 Global Smart Industry Conference (GloSIC), Chelyabinsk, Russia, 2018, pp. 1–6.

2. F. He, L. Zhang, Int. J. Adv. Manuf. Technol. 95 (2018) 4081–4089.

3. H. Qian, F. He, X.A. Xie, Z. Zhu, L. Zhang, L. Zhang, J. Shi, Ironmak. Steelmak. 46 (2019) 259–268.

4. X. Qin, C.F. Zhu, L.W. Zheng, Y.R. Yin, J. Iron Steel Res. Int. 18 (2011) No. 4, 24–29.

5. X. Qin, C. Zhu, L. Zheng, in: 2010 International Conference on Mechanic Automation and Control Engineering, Wuhan, China, 2010, pp. 2593–2596.

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