Results 31 to 40 of about 811,918 (310)

Designing a quality monitoring network of Gonabad Aquifer using principal component analysis (PCA) method [PDF]

open access: yesWater Harvesting Research, 2021
In order to efficiently manage groundwater resources, determination of the main sampling points is very important to reduce sample size and save time and cost.
Samira Rahnama   +3 more
doaj   +1 more source

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

AR-PCA-HMM approach for sensorimotor task classification in EEG-based brain-computer interfaces [PDF]

open access: yes, 2010
We propose an approach based on Hidden Markov models (HMMs) combined with principal component analysis (PCA) for classification of four-class single trial motor imagery EEG data for brain computer interfacing (BCI) purposes. We extract autoregressive (AR)
Argunsah, Ali Ozgur   +3 more
core   +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

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

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

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

Phantom oscillations in principal component analysis

open access: yesbioRxiv, 2023
Principal component analysis (PCA) is a dimensionality reduction technique that is known for being simple and easy to interpret. Principal components are often interpreted as low-dimensional patterns in high-dimensional data.
Maxwell Shinn
semanticscholar   +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

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