Development of a System Based on an Artificial Vision to Determine the Length of Billets in the Cutting Process in Steel Mills
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-24327-1_19
Reference13 articles.
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2. Clitan, I., Muresan, V., Abrudean, M., Monica, S.D.: Automatic determination of optimal length of casting steel blocks in the context of an imprecise manufacturing. In: Proceedings - 2017 21st International Conference on Control Systems and Computer, CSCS 2017, pp. 99–105 (2017). https://doi.org/10.1109/CSCS.2017.20
3. Zhao, L., Dou, R., Yin, J., Yao, Y.: Intelligent prediction method of quality for continuous casting process. In: Proceedings of 2016 IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference, IMCEC 2016, pp. 1761–1764 (2017). https://doi.org/10.1109/IMCEC.2016.7867521
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5. Anuchin, A., Dianov, A., Briz, F.: Synchronous constant elapsed time speed estimation using incremental encoders. IEEE/ASME Trans. Mechatron. 24(4), 1893–1901 (2019). https://doi.org/10.1109/tmech.2019.2928950
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