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European Industrial Doctorate in future efficient minerals analysis, processing and training


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Application of machine learning techniques in mineral phase segmentation for X-ray microcomputed tomography (µCT) data

Author(s): Pratama Istiadi Guntoro, Glacialle Tiu, Yousef Ghorbani, Cecilia Lund, Jan Rosenkranz
Published in: Minerals Engineering, 142, 2019, Page(s) 105882, ISSN 0892-6875
Publisher: Elsevier BV
DOI: 10.1016/j.mineng.2019.105882

X-ray Microcomputed Tomography (µCT) for Mineral Characterization: A Review of Data Analysis Methods

Author(s): Pratama Istiadi Guntoro, Yousef Ghorbani, Pierre-Henri Koch, Jan Rosenkranz
Published in: Minerals, 9/3, 2019, Page(s) 183, ISSN 2075-163X
Publisher: MDPI
DOI: 10.3390/min9030183

Textural Quantification and Classification of Drill Cores for Geometallurgy: Moving Toward 3D with X-ray Microcomputed Tomography (µCT)

Author(s): Pratama Istiadi Guntoro, Yousef Ghorbani, Alan R. Butcher, Jukka Kuva, Jan Rosenkranz
Published in: Natural Resources Research, 2020, ISSN 1520-7439
Publisher: Kluwer Academic/Plenum Publishers
DOI: 10.1007/s11053-020-09685-5

Repurposing legacy metallurgical data Part I: A move toward dry laboratories and data bank

Author(s): Yousef Ghorbani, Glen T. Nwaila, Steven E. Zhang, Martyn P. Hay, Lunga C. Bam, Pratama Istiadi Guntoro
Published in: Minerals Engineering, 159, 2020, Page(s) 106646, ISSN 0892-6875
Publisher: Elsevier BV
DOI: 10.1016/j.mineng.2020.106646