Data Fusion for the Prediction of Elemental Concentrations in Polymetallic Sulphide Ore Using Mid-Wave Infrared and Long-Wave Infrared Reflectance Data

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 required to derive study...

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Bibliografiska uppgifter
Huvudupphovsmän: Feven Desta, Mike Buxton, Jeroen Jansen
Materialtyp: Artigo
Språk:Inglês
Publicerad: MDPI AG 2020-03-01
Serie:Minerals
Ämnen:
mwir
lwir
data fusion
chemometrics
sulphide ore
iron
lead–zinc
Länkar:https://www.mdpi.com/2075-163X/10/3/235
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