Results 31 to 40 of about 184,536 (160)
Community awareness about disaster preparedness: Principal component analysis (PCA)
Majmaah Journal of Health Sciences, 2021 Background and Aim: Responsibility for disaster preparedness is not limit- ed to healthcare institutions and healthcare providers; communities must also be involved. Knowledge of community members awareness of disaster preparedness will enhance and strengthen a communitys resilience to disaster.
Abdullelah Thobaity, Modi Moteri
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Applied Surface Science Advances, 2023 Principal component analysis (PCA), as applied to the processing of the complex X-ray photoelectron spectroscopy (XPS) lineshapes, is discussed. PCA analysis example is provided of complex native iron oxide films on Fe foil XPS spectra further modified ...
Neal Fairley +3 more
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A Corrected Criterion for Selecting the Optimum Number of Principal Components
Austrian Journal of Statistics, 2016 Determining the optimum number of components to be retained is a key problem in principal component analysis (PCA). Besides the rule of thumb estimates there exist several sophisticated methods for automatically selecting the dimensionality of the data ...
Hannes Kazianka, Jürgen Pilz
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A Single Classifier Using Principal Components Vs Multi-Classifier System: In Landuse-LandCover Classification of WorldView-2 Sensor Data [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2014 In remote sensing community, Principal Component Analysis (PCA) is widely utilized for dimensionality reduction in order to deal with high spectral-dimension data. However, dimensionality reduction through PCA results in loss of some spectral information.
L .N. Eeti +2 more
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Face Detection using Principal Component Analysis (PCA)
International Journal of Computer Applications, 2014 Face Detection makes it possible to use the facial images of a person to authenticate him into secure system, for criminal identification, for passport verification etc. It is done by Principal Component Analysis (PCA).Face images are projected onto a face space that encodes best variation among known face images.
Tarun Metta, Jatin Agarwal, Pushpak Dave
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Remote SensingTimely detection of insect infestation (or other disturbance) in a forest is vital for an adequate response plan to be developed. To determine the status of an active infestation of southern pine beetle (Dendroctonus frontalis) in the Bienville National ...
Michael K. Crosby +6 more
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BMC Medical Research Methodology, 2016 Background Wastewater-based epidemiology (WBE) is a novel approach in drug use epidemiology which aims to monitor the extent of use of various drugs in a community.
Stefania Salvatore +2 more
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randPedPCA: rapid approximation of principal components from large pedigrees
Genetics Selection EvolutionBackground Pedigrees continue to be extremely important in agriculture and conservation genetics, with the pedigrees of modern breeding programmes easily comprising millions of records.
Hanbin Lee +3 more
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Biplots for compositional data derived from generalized joint diagonalization methods
Applied Computing and Geosciences, 2020 Biplots constructed from principal components of a compositional data set are an established means to explore its features. Principal Component Analysis (PCA) is also used to transform a set of spatial variables into spatially decorrelated factors ...
U. Mueller +3 more
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PEMBUATAN PERANGKAT LUNAK PENGENALAN WAJAH MENGGUNAKAN PRINCIPAL COMPONENTS ANALYSIS
Jurnal Informatika, 2001 Face recognition is one of many important researches, and today, many applications have implemented it. Through development of techniques like Principal Components Analysis (PCA), computers can now outperform human in many face recognition tasks ...
Kartika Gunadi +1 more
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