Application of Principal Component Analysis for Steel Material Components
Kurdistan Journal of Applied Research, 2022 In this research, we made use of the principal component analysis (PCA) technique, which is a multivariate statistical method that transforms a fixed number of correlated variables into a fixed number of orthogonal, uncorrelated axes known as principal ...
Miran Othman Tofiq +1 more
doaj +3 more sources
Remote Sensing, 2022 Recently, Jia et al. employed the index, modified remote sensing ecological index (MRSEI), to evaluate the ecological quality of the Qaidam Basin, China. The MRSEI made a modification to the previous remote sensing-based ecological index (RSEI), which is
Hanqiu Xu +3 more
doaj +1 more source
A practical introduction to EEG Time-Frequency Principal Components Analysis (TF-PCA)
Developmental Cognitive Neuroscience, 2022 This EEG methods tutorial provides both a conceptual and practical introduction to a promising data reduction approach for time-frequency representations of EEG data: Time-Frequency Principal Components Analysis (TF-PCA).
George A. Buzzell +3 more
doaj +1 more source
Adaptive dimensionality reduction for neural network-based online principal component analysis.
PLoS ONE, 2021 "Principal Component Analysis" (PCA) is an established linear technique for dimensionality reduction. It performs an orthonormal transformation to replace possibly correlated variables with a smaller set of linearly independent variables, the so-called ...
Nico Migenda +2 more
doaj +1 more source
ANOVA bootstrapped principal components analysis for logistic regression
Croatian Review of Economic, Business and Social Statistics, 2022 Principal components analysis (PCA) is often used as a dimensionality reduction technique. A small number of principal components is selected to be used in a classification or a regression model to boost accuracy.
Toleva Borislava
doaj +1 more source
Online Commerce Pattern in European Union Countries between 2019 and 2020
Societies, 2022 The development of information technology, along with the high growth and diversification of consumer needs, has revolutionized the way in which business-to-consumer transactions occur.
Cristina Burlacioiu
doaj +1 more source
Chemometric approach to evaluate heavy metals’ content in Daucus Carota from different localities in Serbia [PDF]
Hemijska Industrija, 2015 The aim of this study was to evaluate heavy metal content in carrots (Daucus carota) from the different localities in Serbia and assess by the cluster analysis (CA) and principal components analysis (PCA) the heavy metal contamination of carrots
Mitic Violeta D. +6 more
doaj +1 more source
Construction of Air Quality Level Prediction Model Based on STEPDISC-PCA-BP
Applied Sciences, 2023 Air quality level has a complex nonlinear relationship with air pollutant and meteorological conditions, including multiple factors, overlapping information, and difficulty solving equations. In order to identify significant factors, remove correlations,
Min Liu +4 more
doaj +1 more source
Resultant equations for training load monitoring during a standard microcycle in sub-elite youth football: a principal components approach [PDF]
PeerJ, 2023 Applying data-reduction techniques to extract meaningful information from electronic performance and tracking systems (EPTS) has become a hot topic in football training load (TL) monitoring.
José Eduardo Teixeira +7 more
doaj +2 more sources
Data Restoration by Linear Estimation of the Principal Components From Lossy Data
IEEE Access, 2020 In this article, we propose a method based on principal component analysis (PCA) to restore data after the occurrence of data loss due to sensor defects or environmental factors.
Yonggeol Lee, Sang-Il Choi
doaj +1 more source