Kernel principal component analysis (PCA) control chart for monitoring mixed non-linear variable and attribute quality characteristics. [PDF]
Ahsan M, Mashuri M, Khusna H, Wibawati.
europepmc +1 more source
Classification of the EU countries labour markets [PDF]
The objective of the paper is to classify the labour markets of the EU member states on the basis of selected employment and unemployment indicators. In order to achieve the study target, the adequate multivariate exploration procedures have been chosen.
Kaba, Bohumil
core +1 more source
Reproducibility of the principal component analysis (PCA)-based data-driven respiratory gating on texture features in non-small cell lung cancer patients with 18 F-FDG PET/CT. [PDF]
Fukai S +7 more
europepmc +1 more source
PCA 4 DCA: the application of principal component analysis to the Dendritic Cell Algorithm [PDF]
As one of the newest members in the field of articial immune systems (AIS), the Dendritic Cell Algorithm (DCA) is based on behavioural models of natural dendritic cells (DCs).
Aickelin, Uwe +3 more
core
Assessment of the Efficiency of Chemical and Thermochemical Depolymerization Methods for Lignin Valorization: Principal Component Analysis (PCA) Approach. [PDF]
Younes K +5 more
europepmc +1 more source
Requirements, Challenges and Implications of Sustainability Reporting Assurance with Principal Component Analysis Method (PCA) [PDF]
Corporate responsibility for sustainability issues has attracted much global attention in recent years due to disasters such as pollution and ozone layer depletion.
Ghodratallah Barzegar, masoome kazemi
doaj
The Application of Principal Component Analysis (PCA) for the Optimization of the Conditions of Fabrication of Electrospun Nanofibrous Membrane for Desalination and Ion Removal. [PDF]
Younes K +6 more
europepmc +1 more source
Improving the performance of independent component regression
In this study, we aim to comprehensively explore the application of principal component analysis (PCA) and independent component analysis (ICA), considering their practical utility.
Mahla Ghasemnejad +2 more
doaj +1 more source
Low-temperature thermal hydrolysis of sludge prior to anaerobic digestion: Principal component analysis (PCA) of experimental data. [PDF]
Meshref MNA +4 more
europepmc +1 more source
The Predominant Sources of Heavy Metals in Different Types of Fugitive Dust Determined by Principal Component Analysis (PCA) and Positive Matrix Factorization (PMF) Modeling in Southeast Hubei: A Typical Mining and Metallurgy Area in Central China. [PDF]
Chen H +10 more
europepmc +1 more source

