A systematic review on the application of machine learning in exploiting mineralogical data in mining and mineral industry
M Jooshaki, A Nad, S Michaux - Minerals, 2021 - mdpi.com
Machine learning is a subcategory of artificial intelligence, which aims to make computers
capable of solving complex problems without being explicitly programmed. Availability of …
capable of solving complex problems without being explicitly programmed. Availability of …
[HTML][HTML] A review of modeling and control strategies for cone crushers in the mineral processing and quarrying industries
AS Yamashita, A Thivierge, TAM Euzébio - Minerals Engineering, 2021 - Elsevier
Run-of-mine ore is usually too large to be useful for construction or metallurgy. Large
particles must be reduced to specific sizes to either comply with aggregate sizing …
particles must be reduced to specific sizes to either comply with aggregate sizing …
Digitalization solutions in the mineral processing industry: the case of GTK Mintec, Finland
A Nad, M Jooshaki, E Tuominen, S Michaux, A Kirpala… - Minerals, 2022 - mdpi.com
The technologies used in mineral process engineering are evolving. The digital mineral
processing solutions are based on advances in our ability to instrumentally measure …
processing solutions are based on advances in our ability to instrumentally measure …
[PDF][PDF] A Systematic Review on the Application of Machine Learning in Exploiting Mineralogical Data in Mining and Mineral Industry. Minerals 2021, 11, 816
M Jooshaki, A Nad, S Michaux, U König, Y Choi - mdpi. com, 2021 - academia.edu
Machine learning is a subcategory of artificial intelligence, which aims to make computers
capable of solving complex problems without being explicitly programmed. Availability of …
capable of solving complex problems without being explicitly programmed. Availability of …
Laser-induced breakdown spectroscopy and hyperspectral imaging data fusion for improved mineralogical analysis of copper concentrates
The mineralogical analyses of copper concentrates are very important not only for technical
reasons, to monitor and control the smelting processes, but also for commercial purposes …
reasons, to monitor and control the smelting processes, but also for commercial purposes …
[HTML][HTML] Mineral Potential Mapping Using Satellite Images of Sentinel-2, Landsat-8 and ASTER for Iron Ore at Esfordi 1: 100000 Sheet
F Ahmadi, H Aghajani, M Abedi - Journal of Mineral …, 2022 - jmre.journals.ikiu.ac.ir
The Esfordi 1: 100,000 geological sheet is situated at the Bafgh-Posht-e-Badam district in
the central Iran structural zone. Due to the high mineral potentials in this region, many …
the central Iran structural zone. Due to the high mineral potentials in this region, many …
[PDF][PDF] Digitalization Solutions in the Mineral Processing Industry: The Case of GTK Mintec, Finland. Minerals 2022, 12, 210
A Nad, M Jooshaki, E Tuominen, S Michaux, A Kirpala… - 2022 - academia.edu
The technologies used in mineral process engineering are evolving. The digital mineral
processing solutions are based on advances in our ability to instrumentally measure …
processing solutions are based on advances in our ability to instrumentally measure …