Results 21 to 30 of about 194,639 (254)
Sensors, 2014 Principal Component Analysis (PCA) is one of the main methods used for electronic nose pattern recognition. However, poor classification performance is common in classification and recognition when using regular PCA.
Sai Xu +4 more
doaj +1 more source
PCA of PCA: principal component analysis of partial covering absorption in NGC 1365 [PDF]
Monthly Notices of the Royal Astronomical Society, 2014 We analyse 400 ks of XMM-Newton data on the active galactic nucleus NGC 1365 using principal component analysis (PCA) to identify model independent spectral components. We find two significant components and demonstrate that they are qualitatively different from those found in MCG?6-30-15 using the same method.
Parker, M. L. +3 more
openaire +4 more sources
Urban water quality evaluation using multivariate analysis [PDF]
Acta Montanistica Slovaca, 2007 A data set, obtained for the sake of drinking water quality monitoring, was analysed by multivariate methods. Principal component analysis (PCA) reduced the data dimensionality from 18 original physico-chemical and microbiological parameters determined ...
Petr Praus
doaj
Frontiers in Bioengineering and Biotechnology, 2021 BackgroundKinematic analysis facilitates interpreting the extent and mechanisms of motor restoration after stroke. This study was aimed to explore the kinematic components of finger-to-nose test obtained from principal component analysis (PCA) and the ...
Ze-Jian Chen +13 more
doaj +1 more source
Brent Crude Oil Daily Price Forecast by Combining Principal Components Analysis and Support Vector Regression methods [PDF]
Pizhūhishnāmah-i Iqtiṣād-i Inirzhī-i Īrān, 2017 Anticipating process of crude oil prices and its fluctuations volatility has always been one of the challenges the traders face in the exchange oil markets. This study estimates the Brent crude oil daily price forecast with a proposed hybrid model.
Elham Hajikaram, Roya Darabi
doaj +1 more source
Geohazard Mechanics, 2023 In order to predict the coal outburst risk quickly and accurately, a PCA-FA-SVM based coal and gas outburst risk prediction model was designed. Principal component analysis (PCA) was used to pre-process the original data samples, extract the principal ...
Chaojun Fan +3 more
doaj +1 more source
Facial Expressions recognition Based on Principal Component Analysis (PCA) [PDF]
International Journal of Computer Trends and Technology, 2014 6 pages, 13 figures, 9 tables, Volume 18 Number 5; Dec 2014; pp.
Abdelmajid Hassan Mansour +2 more
openaire +2 more sources
Structural insights into an engineered feruloyl esterase with improved MHET degrading properties
FEBS Letters, EarlyView.A feruloyl esterase was engineered to mimic key features of MHETase, enhancing the degradation of PET oligomers. Structural and computational analysis reveal how a point mutation stabilizes the active site and reshapes the binding cleft, expading substrate scope.
Panagiota Karampa +5 more
wiley +1 more source
Combination of DEA and PCA for Full Ranking of Decision Making Units [PDF]
مدیریت صنعتی, 2009 This paper presents a combination of Data Envelopment Analysis (DEA) and Principal Component Analysis (PCA) to reduce the dimensionality of data set. DEA is known as effective tool for assessment and benchmarking.
Mojtaba Khazaei, Hamid Reza Izadbakhsh
doaj
Memory efficient PCA methods for large group ICA
Frontiers in Neuroscience, 2016 Principal component analysis (PCA) is widely used for data reduction in group independent component analysis (ICA) of fMRI data. Commonly, group-level PCA of temporally concatenated datasets is computed prior to ICA of the group principal components ...
Srinivas eRachakonda +6 more
doaj +1 more source