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...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Feven Desta, Mike Buxton, Jeroen Jansen
Format: Artigo
Sprache:Inglês
Veröffentlicht: MDPI AG 2020-03-01
Schriftenreihe:Minerals
Schlagworte:
mwir
lwir
data fusion
chemometrics
sulphide ore
iron
lead–zinc
Online Zugang:https://www.mdpi.com/2075-163X/10/3/235
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!

Ähnliche Einträge