Results 31 to 40 of about 851,900 (211)

Embedding Principal Component Analysis for Data Reductionin Structural Health Monitoring on Low-Cost IoT Gateways [PDF]

open access: yes, 2019
Principal component analysis (PCA) is a powerful data reductionmethod for Structural Health Monitoring. However, its computa-tional cost and data memory footprint pose a significant challengewhen PCA has to run on limited capability embedded platformsin ...
Abdelgawad A.   +8 more
core   +2 more sources

Principal component analysis and its generalizations for any type of sequence (PCA-Seq)

open access: yesВавиловский журнал генетики и селекции, 2020
In the 1940s, Karhunen and Loève proposed a method for processing a one-dimensional numeric time series by converting it into multidimensional by shifts. In fact, a one-dimensional number series was decomposed into several orthogonal time series.
V. M. Efimov   +2 more
doaj   +1 more source

Five Year Retrospective Case Series of Adnexal Torsion [PDF]

open access: yesJournal of Clinical and Diagnostic Research, 2014
Aims and Objectives: Adnexal torsion is a rare gynaecological emergency that requires an early surgical intervention to save the adnexa from irreversible damage .Our study is about clinical presentation and management approach of adnexal torsion in a
Sobha Nair, Smitha Joy, Jayashree Nayar
doaj   +1 more source

The richness of diversity in a core collection of bread wheat (Triticum aestivum L.)

open access: yesElectronic Journal of Plant Breeding, 2018
Diversity evaluation provides opportunity to assess genetically important distinct traits that will effectively contribute to improvement of genotypes. Assessing genetic diversity in a core collection is key to find out the ways to efficient utilization
Vivek Sharma   +4 more
doaj   +1 more source

Sizing the Shape: Understanding Morphometrics [PDF]

open access: yesJournal of Clinical and Diagnostic Research, 2015
Purpose: One of the most fundamental limitations associated with the conventional cephalometrics is its inability to delineate size from shape as it depends mainly on linear and angular measurements.
Neha
doaj   +1 more source

Principal Component Regression Modelling with Variational Bayesian Approach to Overcome Multicollinearity at Various Levels of Missing Data Proportion

open access: yesJTAM (Jurnal Teori dan Aplikasi Matematika), 2022
This study aims to model Principal Component Regression (PCR) using Variational Bayesian Principal Component Analysis (VBPCA) with Ordinary Least Square (OLS) as a method of estimating regression parameters to overcome multicollinearity at various levels
Nabila Azarin Balqis   +2 more
doaj   +1 more source

Deteksi Kavitasi Berbasis Getaran Pada Pompa Sentrifugal Menggunakan Principal Component Analysis (PCA)

open access: yesSemesta Teknika, 2018
A centrifugal pump is one type of pumps that widely used in industries. Its mechanism which creates pressure changes may cause cavitation. Cavitation phenomenon that is not properly maintained may results fatal breakdown leading to high economic losses ...
Berli Paripurna Kamiel   +1 more
doaj   +1 more source

Fault diagnosis of WOA-SVM high voltage circuit breaker based on PCA Principal Component Analysis

open access: yesEnergy Reports, 2023
High voltage circuit breakers (HVCB) are significant protection and control devices for electric systems, and its operating state directly influences the stability and reliability of electric systems. In order to solve the problem of low precision of the
Liyuan Yang   +3 more
doaj   +1 more source

PENGENALAN POLA SENYUM MENGGUNAKAN BACKPROPAGATION BERBASIS EKSTRAKSI FITUR PRINCIPAL COMPONENT ANALYSIS (PCA)

open access: yesRekayasa, 2011
Pada penelitian ini dilakukan pengenalan pola senyum menggunakan backpropagation berbasis ekstraksi fitur Principal Component Analysis (PCA). Penelitian ini bertujuan untuk mengembangkan penelitian tentang pengenalan ekspresi wajah, yaitu pola senyum ...
Rima Tri Wahyuningrum
doaj   +1 more source

Structured illumination microscopy based on principal component analysis

open access: yeseLight, 2023
Structured illumination microscopy (SIM) is one of the powerful super-resolution modalities in bioscience with the advantages of full-field imaging and high photon efficiency.
Jiaming Qian   +6 more
semanticscholar   +1 more source

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