Mining Technology: Transactions of the Institutions of Mining and Metallurgy

Aims & Scope✦ Inferred from recent articles

This journal focuses on the application of advanced technologies and data analysis in mining operations. It covers topics such as slope stability prediction using machine learning, optimization of fuel consumption in haul trucks, in-situ leaching of uranium deposits, management of end-of-life mining tires, and the use of radar-inertial measurement unit systems for underground mapping. The journal also addresses the prediction of rock strength, dust control in underground tunnels, fragmentation analysis in blasting, dump truck travel time prediction, and the influence of material properties on ground support elements. Furthermore, it explores density modeling using geophysical data, the integration of AI and NLP for regulatory compliance, and the use of LIBS with machine learning for mineral identification. The scope extends to the adoption of Mining 4.0 technologies and the sustainability of explosives in open-cast mining.

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Source: OpenAlex · Note: citations accumulate over time so older years appear higher

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