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Yusuf Enes Pural

As seen in: Wiley Online Library, MDPI
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Articles

Application of Machine Learning for Generic Mill Liner Wear Prediction in Semi-Autogenous Grinding (SAG) Mills

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By Yusuf Enes Pural, Tania Ledezma, Gordon Forbes, Marko Hilden
| MDPI
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
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Investigating the benefits of using HPGR prior to cyanidation of low grade gold ore

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By Yusuf Enes Pural, Zeynep Kahya, Nihat Tarhan, Nursun Şirvancı
| Wiley Online Library Verified
REFERENCES 1, , , , Global Environmental Change 2023, 83, 102745. 2, Adv. Powder Technol. 2011, 22, 138. 3, , , , , in Fifth Int. Conf. Autogen. Semiautogen. Grinding (SAG 2011). 2011. 4, , Miner. Eng. 2011, 24, 211. 5, , Powder Technol. 1995, 82, 51. 6, , Miner. Eng. 2016, 92, 47. 7, Miner. Eng. 2022, 179, 107431. 8, Int. J. Miner. Process. 1988, 22, 401. 9, , , , , Miner. Eng. 2011, 24, 1478. 10, , , , , , Miner. Eng. 2011, 24, 1249. 11, , , , , Miner. Eng. 2017, 111, 140.
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