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Damage Detection Based on Electromechanical Impedance Principle and Principal Components
(2014-01-01)
This paper presents a novel time domain approach for Structural Health Monitoring (SHM) systems based on Electromechanical Impedance (EMI) principle and Principal Component Coefficients (PCC), also known as loadings. ...
Damage Detection Based on Electromechanical Impedance Principle and Principal Components
(2014-01-01)
This paper presents a novel time domain approach for Structural Health Monitoring (SHM) systems based on Electromechanical Impedance (EMI) principle and Principal Component Coefficients (PCC), also known as loadings. ...
Principal Component Analysis Handbook
(Clanrye InternationalJersey City, 2015)
This book on Principal component analysis (PCA) is a significant contribution to the field of data analysis. PCA involves a statistical procedure which orthogonally transforms a set of possibly correlated observations into ...
Conformational analysis: A new approach by means of chemometrics
(Wiley-blackwellMaldenEUA, 2002)
Principal component analysis to study the relations between the spread rates of COVID-19 in high risks countries
n this research, the number of patients with Covid-19 and the number of deaths due to
this disease in France, Germany, Iran, Italy, Spain, United Kingdom, and Unites States America
are considered. First, the relations ...
Relationship between wheat flour properties and french bread char- acteristics using principal component analysis
(Research Journal Biotechnology, 2015-04)
The objective was to use Principal Component Analysis as a tool to assess the relationship between physical and rheological characteristics of wheat flour and the quality of french bread. Flours belonging to eight varieties ...
Hydrological responses in equatorial watersheds indicated by Principal Components Analysis (PCA) - study case in Atrato River Basin (Colombia)
(Assoc Brasileira Recursos Hidricos-abrh, 2020-01-01)
The Atrato river basin is located in the Pacific fringe of Colombia, region with one of the highest precipitation rates in the world. The main purpose of this study is to determine the dominant processes in the hydrological ...
Robust principal components for hyperspectral data analysis
(Springer, 2009-07)
Remote sensing data present peculiar features and characteristics that may make their statistical processing and analysis a difficult task. Among them, it can be mentioned the volume of data involved, the redundancy, the ...