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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Détails bibliographiques
Auteurs principaux: Feven Desta, Mike Buxton, Jeroen Jansen
Format: Artigo
Langue:Inglês
Publié: MDPI AG 2020-03-01
Collection:Minerals
Sujets:
mwir
lwir
data fusion
chemometrics
sulphide ore
iron
lead–zinc
Accès en ligne:https://www.mdpi.com/2075-163X/10/3/235
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