Mining industry

Mining industry

Machine Learning-Based Prospective Modeling for Alluvial Gold Mining

Researchers at Instituto Tecnologico Metropolitano have developed a novel approach to prospectivity analysis in alluvial gold mining settings, leveraging machine learning techniques to improve the efficiency and sustainability of mining operations. This innovative methodology employs natural language processing, convolutional neural networks, and transfer learning to analyze field data and identify

Mining industry

Innovative Pillar Recovery Method Integrating Gob-Side Entry Driving and Directional Roof-Cutting for Thick-Hard Roof Coal Seams

Research conducted by the China University of Mining and Technology Beijing has led to the development of a novel method for recovering coal pillar resources in mines, particularly for coal seams with thick-hard roofs. The method, which combines gob-side entry driving and directional roof-cutting technology, has been successfully implemented in