Partial least squares-discriminant analysis (PLS-DA) for classification of high-dimensional (HD) data: a review of contemporary practice strategies and knowledge …

LC Lee, CY Liong, AA Jemain - Analyst, 2018 - pubs.rsc.org
Partial least squares-discriminant analysis (PLS-DA) is a versatile algorithm that can be
used for predictive and descriptive modelling as well as for discriminative variable selection …

Selecting training sets for support vector machines: a review

J Nalepa, M Kawulok - Artificial Intelligence Review, 2019 - Springer
Support vector machines (SVMs) are a supervised classifier successfully applied in a
plethora of real-life applications. However, they suffer from the important shortcomings of …

Alternative data mining/machine learning methods for the analytical evaluation of food quality and authenticity–A review

AM Jiménez-Carvelo, A González-Casado… - Food research …, 2019 - Elsevier
In recent years, the variety and volume of data acquired by modern analytical instruments in
order to conduct a better authentication of food has dramatically increased. Several pattern …

Parallel genetic algorithms: a useful survey

T Harada, E Alba - ACM Computing Surveys (CSUR), 2020 - dl.acm.org
In this article, we encompass an analysis of the recent advances in parallel genetic
algorithms (PGAs). We have selected these algorithms because of the deep interest in many …

An overview on the applications of typical non-linear algorithms coupled with NIR spectroscopy in food analysis

M Zareef, Q Chen, MM Hassan, M Arslan… - Food Engineering …, 2020 - Springer
Near-infrared (NIR) spectroscopy as a low-cost technique with its non-destructive fast
nature, precision, control, accuracy, repeatability, and reproducibility has been extensively …

Determination of hemicellulose, cellulose and lignin in moso bamboo by near infrared spectroscopy

X Li, C Sun, B Zhou, Y He - Scientific reports, 2015 - nature.com
The contents of hemicellulose, cellulose and lignin are important for moso bamboo
processing in biomass energy industry. The feasibility of using near infrared (NIR) …

Chemometric applications to assess quality and critical parameters of virgin and extra-virgin olive oil. A review

AM Gómez-Caravaca, RM Maggio, L Cerretani - Analytica Chimica Acta, 2016 - Elsevier
Today virgin and extra-virgin olive oil (VOO and EVOO) are food with a large number of
analytical tests planned to ensure its quality and genuineness. Almost all official methods …

Weld appearance prediction with BP neural network improved by genetic algorithm during disk laser welding

Y Zhang, X Gao, S Katayama - Journal of Manufacturing Systems, 2015 - Elsevier
The appearance of welds is the external manifestation of welding quality. The morphology of
molten pools is significantly associated with the weld appearance, but the approach to …

Optimization of parameter selection for partial least squares model development

N Zhao, Z Wu, Q Zhang, X Shi, Q Ma, Y Qiao - Scientific reports, 2015 - nature.com
In multivariate calibration using a spectral dataset, it is difficult to optimize nonsystematic
parameters in a quantitative model, ie, spectral pretreatment, latent factors and variable …

Determination of trace thiophanate-methyl and its metabolite carbendazim with teratogenic risk in red bell pepper (Capsicumannuum L.) by surface-enhanced Raman …

JL Li, DW Sun, H Pu, DS Jayas - Food Chemistry, 2017 - Elsevier
Surface-enhanced Raman scattering (SERS) imaging coupling with multivariate analysis in
spectral region of 200 to 1800 cm− 1 was developed to quantify and visualize thiophanate …