Results 31 to 40 of about 2,229,496 (344)

Euler Principal Component Analysis [PDF]

open access: yesInternational Journal of Computer Vision, 2012
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Stephan Liwicki   +3 more
openaire   +4 more sources

Using Principal Components Analysis in Program Evaluation: Some Practical Considerations

open access: yesJournal of MultiDisciplinary Evaluation, 2006
Principal Components Analysis (PCA) is widely used by behavioral science researchers to assess the dimensional structure of data and for data reduction purposes.
J. Thomas Kellow
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

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

Principal Components Analysis Utility in the Livestock Field

open access: yesBulletin of University of Agricultural Sciences and Veterinary Medicine Cluj-Napoca. Animal Science and Biotechnologies, 2016
Principal Component Analysis is a method factor - factor analysis - and is used to reduce data complexity by replacingmassive data sets by smaller sets.
Ancuta Simona Rotaru   +3 more
doaj   +1 more source

A New Feature Extraction Method Based on the Information Fusion of Entropy Matrix and Covariance Matrix and Its Application in Face Recognition

open access: yesEntropy, 2015
The classic principal components analysis (PCA), kernel PCA (KPCA) and linear discriminant analysis (LDA) feature extraction methods evaluate the importance of components according to their covariance contribution, not considering the entropy ...
Shunfang Wang, Ping Liu
doaj   +1 more source

Principal Components Analysis of EEG Signals for Epileptic Patient Identification

open access: yesComputation, 2021
According to the behavior of its neuronal connections, it is possible to determine if the brain suffers from abnormalities such as epilepsy. This disease produces seizures and alters the patient’s behavior and lifestyle.
Maria Camila Guerrero   +2 more
doaj   +1 more source

Chemomertic Risk Assessment of Soil Pollution

open access: yesOpen Chemistry, 2019
In this study, an interpretation and modeling of the soil quality by monitoring data using an intelligent data analysis is presented. On an annual average, values of 12 soil surface chemical parameters as input variables were determined at 35 sampling ...
Nedyalkova Miroslava, Simeonov Vasil
doaj   +1 more source

ارزیابی ژنوتیپ‎های یولاف زراعی (Avena sativa L.) با استفاده از شاخص‎های تحمل خشکی [PDF]

open access: yesتنش های محیطی در علوم زراعی, 2016
یولاف به‌عنوان یکی از غلاتی که در اغلب نقاط دنیا کشت می‎گردد، دارای خواص غذایی و دارویی بسیاری است و این ظرفیت را دارد که در ایران نیز به‌طور اقتصادی کشت‌وکار شود، اما همانند بسیاری دیگر از محصولات زراعی تنش خشکی می‎تواند ازجمله موانع توسعه و تولید مطلوب
صحبت بهرامی نژاد   +2 more
doaj   +1 more source

Composição química da precipitação úmida da região metropolitana de Porto Alegre, Brasil, 2005- 2007

open access: yesQuímica Nova, 2012
This work aims to quantify the wet precipitation the Metropolitan Area of Porto Alegre (MAPA), in southern Brazil, through the analysis of major ions (by ion chromatography) and metallic elements (ICP/AES).
Daniela Montanari Migliavacca   +2 more
doaj   +1 more source

Home - About - Disclaimer - Privacy