Application of infrared microscopy and alternating least squares to the forensic analysis of automotive paint chips
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Chemometrics"
DOI: 10.1002/cem.3277
Abstract: To collect infrared (IR) absorbance spectra from an automotive paint chip with an IR imaging microscope, it is a common practice to cast the paint chip in epoxy and then cross section it using a… read more here.
Keywords: paint; least squares; microscopy; automotive paint ... See more keywords
Monitoring biodiesel and its intermediates in transesterification reactions with multivariate curve resolution alternating least squares calibration models
Sign Up to like & getrecommendations! Published in 2021 at "Fuel"
DOI: 10.1016/j.fuel.2020.119275
Abstract: Abstract The monitoring of biodiesel production processes is currently performed by methods requiring high reagent consumption and long response times. Aiming to overcome these drawbacks, this article developed chemometric models combining principal component analysis (PCA),… read more here.
Keywords: resolution alternating; alternating least; multivariate curve; monitoring biodiesel ... See more keywords
Quantum chemical computation-based strategy for alternating least squares initialization in multivariate curve resolution analysis of spectral-pH data
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DOI: 10.1016/j.microc.2018.04.022
Abstract: Abstract The main motivation of this work is to provide initial estimates for the initialization of the iterative optimization within the multivariate curve resolution - alternating least squares (MCR-ALS) algorithm for the decomposition of second-order… read more here.
Keywords: resolution; quantum chemical; least squares; alternating least ... See more keywords
A self-adaptive regularized alternating least squares method for tensor decomposition problems
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DOI: 10.1142/s0219530519410057
Abstract: Though the alternating least squares algorithm (ALS), as a classic and easily implemented algorithm, has been widely applied to tensor decomposition and approximation problems, it has some drawback... read more here.
Keywords: tensor decomposition; least squares; self adaptive; alternating least ... See more keywords