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]
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)
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]
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.)
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]
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
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
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
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
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
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

