Near infrared spectroscopy: A mature analytical technique with new perspectives–A review

C Pasquini - Analytica chimica acta, 2018 - Elsevier
Last decade's advances and modern aspects of near infrared spectroscopy are critically
examined and reviewed. Innovative instrumentation, highlighted by portable and imaging …

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 …

Optimal ratio for data splitting

VR Joseph - Statistical Analysis and Data Mining: The ASA …, 2022 - Wiley Online Library
It is common to split a dataset into training and testing sets before fitting a statistical or
machine learning model. However, there is no clear guidance on how much data should be …

On splitting training and validation set: a comparative study of cross-validation, bootstrap and systematic sampling for estimating the generalization performance of …

Y Xu, R Goodacre - Journal of analysis and testing, 2018 - Springer
Abstract Model validation is the most important part of building a supervised model. For
building a model with good generalization performance one must have a sensible data …

SPlit: An optimal method for data splitting

VR Joseph, A Vakayil - Technometrics, 2022 - Taylor & Francis
In this article, we propose an optimal method referred to as SPlit for splitting a dataset into
training and testing sets. SPlit is based on the method of support points (SP), which was …

A review of artificial neural network based chemometrics applied in laser-induced breakdown spectroscopy analysis

LN Li, XF Liu, F Yang, WM Xu, JY Wang… - Spectrochimica Acta Part B …, 2021 - Elsevier
In the past decades various categories of chemometrics for laser-induced breakdown
spectroscopy (LIBS) analysis have been developed, among which an important category is …

Chemometric methods in data processing of mass spectrometry-based metabolomics: A review

L Yi, N Dong, Y Yun, B Deng, D Ren, S Liu… - Analytica chimica acta, 2016 - Elsevier
This review focuses on recent and potential advances in chemometric methods in relation to
data processing in metabolomics, especially for data generated from mass spectrometric …

A review of near infrared spectroscopy and chemometrics in pharmaceutical technologies

Y Roggo, P Chalus, L Maurer, C Lema-Martinez… - … of pharmaceutical and …, 2007 - Elsevier
Near-infrared spectroscopy (NIRS) is a fast and non-destructive analytical method.
Associated with chemometrics, it becomes a powerful tool for the pharmaceutical industry …

Pattern recognition techniques in food quality and authenticity: A guide on how to process multivariate data in food analysis

A de Araújo Gomes, SM Azcarate, I Špánik… - TrAC Trends in …, 2023 - Elsevier
According to the Food and Agriculture Organization of the United Nations, food safety is
defined as “assurance that food will not cause harm to the consumer which is prepared …

Application of hyperspectral imaging assisted with integrated deep learning approaches in identifying geographical origins and predicting nutrient contents of Coix …

Y Wang, F Xiong, Y Zhang, S Wang, Y Yuan, C Lu… - Food chemistry, 2023 - Elsevier
Coix seed (CS, Coix lachryma-jobi L. var. ma-yuen (Roman.) Stapf) has rich nutrients,
including starch, protein and oil. The geographical origin with a protected geographical …