Results 81 to 90 of about 576,910 (192)

Classificando cédulas brasileiras (R$) usando análise de imagem por smartphone

Química Nova
A new method to identify the authenticity of Brazilian banknotes (R$) is proposed using digital image analysis by a smartphone application, Photometrix®, associated with chemometric tools. Authentic banknotes (n = 4) obtained in local bank and falsified (
Bruno V. Vittorazzi, Rayana A. Costa, Larissa M. Coelho, Marsele M. Isidoro, Kássio M. G. Lima, Paulo R. Filgueiras, Wanderson Romão   +6 more
doaj   +1 more source

Analysis of a large series of hand kinematics measurements [PDF]

, 2013
This thesis describes a unified model of human hand kinematics. Visual 3D measurements of human hand segment positions throughout different movements are used to determine Denavit-Hartenberg parameters and joint angles for both left and right hands of ...
Kološnjaji, Bojan
core  

Heat cluster map and principle component analysis (PCA) of aneuploidie amniotic fluid and normal samples

, 2011
Copyright information:Taken from "Proteomic profile determination of autosomal aneuploidies by mass spectrometry on amniotic fluids"http://www.proteomesci.com/content/6/1/1Proteome Science 2008;6():1-1.Published online 11 Jan 2008PMCID:PMC2248173.
Caroline Desmetz (82135), Jerome Solassol (82138), Alain Mange (82134), Virginie Bellet (82136), Thierry Maudelonde (82137), Nicolas Molinari (75348)   +5 more
core   +1 more source

Performance Comparison of PCA,DWT-PCA And LWT-PCA for Face Image Retrieval

Computer Science & Engineering: An International Journal, 2012
This paper compares the performance of face image retrieval system based on discrete wavelet transforms and Lifting wavelet transforms with principal component analysis (PCA). These techniques are implemented and their performances are investigated using f rontal facial images from the ORL database.
openaire   +1 more source

PCA, arithmetic, and murmurations

We outline how murmurations were first observed in the context of data scientific exploration. Specifically, we highlight the relationship between murmurations and PCA.
Oliver, T.
core   +1 more source

PCA for point processes

The Annals of Statistics
We introduce a novel statistical framework for the analysis of replicated point processes that allows for the study of point pattern variability at a population level. By treating point process realizations as random measures, we adopt a functional analysis perspective and propose a form of functional Principal Component Analysis (fPCA) for point ...
Picard, Franck, Rivoirard, Vincent, Roche, Angelina, Panaretos, Victor   +3 more
openaire   +2 more sources

Mitin por la autonomía : que no le falte tu voto

, 2009
Primer pla d'una parsona gran ...
Partido Comunista de Andalucía (PCA)
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Multivariate insights into selection Indices of farmers’ pea (Pisum sativum var. arvense L.) varieties from Vindhyan zone, Uttar Pradesh

Electronic Journal of Plant Breeding
Variability is the prerequisite for selection of superior traits and parents. Multivariate analysis acts as an aid to the process of selection indices. Therefore, twenty-two farmers’ varieties of pea (Pisum sativum var.
Ruchi Bishnoi1,2 *, Shailesh Marker3,4 , Preeti Basser5 , Rutvik J. Joshi6 and Jogender Beniwal7
doaj   +1 more source

Exploring the factors influencing commuters’ satisfaction and the use of public utility buses in Quezon City, Philippines

International Review of Social Sciences Research
This study examines the determinants of commuter satisfaction with public utility buses in Quezon City, Philippines, emphasizing service quality, travel duration, cost efficiency, and willingness to utilize the service.
Lorenzo Miguel C. Galvez, Paulene Kaye R. Katon, Karen Grace P. Valdez   +2 more
doaj   +1 more source

Fault Detection and Diagnosis using Principal Component Analysis of Vibration Data from a Reciprocating Compressor [PDF]

, 2012
This paper investigates the use of time domain vibration features for detection and diagnosis of different faults from a multi stage reciprocating compressor.
Gu, Fengshou, Ball, Andrew, Ahmed, M.
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