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Study of the scattering effects on NIR data for the prediction of ash content using EMSC correction factors
Manuela Mancini, Giuseppe Toscano, Åsmund Rinnan
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Corresponding author for this work
Food Analytics and Biotechnology
2
Citations (Scopus)
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Dive into the research topics of 'Study of the scattering effects on NIR data for the prediction of ash content using EMSC correction factors'. Together they form a unique fingerprint.
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Mathematics
Partial Least Squares
100%
Scatter
94%
Scattering
70%
Multiplicative
63%
Prediction
61%
Near Infrared
61%
Spectrality
43%
Sector
39%
Regression Model
31%
Performance Prediction
28%
Partial Least Squares Regression
26%
Model Complexity
26%
Preprocessing
22%
Straight
20%
Principal Component Analysis
20%
Model
18%
Figure
18%
Deviation
17%
Uncertainty
16%
Evaluate
15%
Trajectory
15%
Nonlinearity
14%
Path
13%
Energy
12%
Engineering & Materials Science
Ashes
80%
Scattering
72%
Infrared radiation
22%
Principal component analysis
12%
Trajectories
8%
Uncertainty
8%
Chemical Compounds
Pellet
75%
Energy
36%
Mixture
33%