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July 9, 2026MineralsOpen Access

Application of Machine Learning in Mining, Mineral Processing and Extractive Metallurgy

Javier Ruíz-del-Solar Humberto Estay Pía Lois-Morales

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Key Points

To explore the application of machine learning in mining, mineral processing, and extractive metallurgy.
Review of existing methodologies and applications in industry
Assessment of machine learning techniques
Case studies from various sectors
Increased efficiency in resource extraction
Improved predictive maintenance through data-driven insights
Enhanced process optimization leading to cost reduction

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Implication

Demonstrates machine learning applications in mining and metallurgy, suggesting significant industry advancements.

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Cite This Study

Ruíz-del-Solar et al. (2026) studied this question.

synapsesocial.com/papers/6a51e1f3c18d7f28ca501369 https://doi.org/10.3390/min16070719

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