Data Fusion for the Prediction of Elemental Concentrations in Polymetallic Sulphide Ore Using Mid-Wave Infrared and Long-Wave Infrared Reflectance Data
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DOI: 10.3390/min10030235
Abstract: The increasing availability of complex multivariate data yielded by sensor technologies permits qualitative and quantitative data analysis for material characterization. Multivariate data are hard to understand by visual inspection and intuition. Thus, data-driven models are… read more here.
Keywords: data fusion; prediction elemental; polymetallic sulphide; wave infrared ... See more keywords