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What is Machine Learning in Mineralogy Analysis about?

This systematic review investigates the application of machine learning (ML) in the mining and mineral industry, focusing on how ML techniques enhance the utilization of mineralogical data. The paper explores the problems addressed by ML, the reasons for its use, the input and output parameters involved, and the trends in this field. The findings highlight the potential of ML to revolutionize mineral processing by improving efficiency and optimizing operations through advanced data analysis.

Author

Colan Vlad

Language

EN