Process simulations in mineralogy based geometallurgy
Process simulations in mineralogy based geometallurgy of iron ores Mehdi Parian a Pertti Lambergb and Jan Rosenkranza aMinerals and Metallurgical Engineering Luleå University of Technology Luleå Sweden; bKeliber Oy Kaustinen Finland ABSTRACT Mineral processing simulation models can be classified based on the level that feed stream to
Iron ore image classification using deep learning IEEE Xplore
This study presents a method for classifying microscopic images of iron ore using convolutional neural networks CNNs The dataset used in the experiment consisted of microscopic images of iron ore samples gathered from Kiriburu Iron Ore Mines Jharkhand India Iron ore samples with varying hematite content labelled as hard laminated soft laminated and lateritic were selected