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29 articles for “Correlation Matrix”

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Research ArticleOpen accessIn the keywordsAN INTELLIGENT RECOGNITION SYSTEM FOR IDENTIFICATION OF WOOD SPECIESS. Mohan, K. Venkatachalapathy, P. SudhakarThe recognition of wood species is needed is many areas like construction industry, furniture manufacturing, etc.,. The wood is traditionally classified by human experts. But human identification of wood type is not accurate and the manual identification is a time consuming process. So in this study, an intelligent recognition for identification of wood species was developed. This study uses image … …Journal of Computer Science, Vol. 10, Issue 7 · 19 Feb 2014 · 7,805 accessesView PDFCite
Research ArticleOpen accessIn the keywordsSTATIONARY CONNECTED CURVES IN HILBERT SPACESRaed Hatamleh, Ahmad Qazza, Hatim MigdadiIn this article the structure of non-stationary curves which are stationary connected in Hilbert space is studied using triangular models of non-self-adjoint operator. The concept of evolutionary representability plays here an important role. It is proved that if one of two curves in Hilbert space is evolutionary representable and the curves are stationary connected, then another curve is evolutionary representable … …Journal of Mathematics and Statistics, Vol. 10, Issue 2 · 17 May 2014 · 6,799 accessesView PDFCite
Research ArticleOpen accessIn the keywordsScholastic Achievement of Higher Secondary Students in Science StreamZebun N. KhanThe present study was conducted on 400 students (200 boys and 200 Girls) selected from senior secondary school of A.M.U., Aligarh-India, to establish the prognostic value of different measures of cognition, personality and demographic variables for success at higher secondary level in science stream. The scores obtained on different variables were factor-analyzed to get a smaller number of meaningful variables … …Journal of Social Sciences, Vol. 1, Issue 2 · 30 Jun 2005 · 7,312 accessesView PDFCite
Research ArticleOpen accessIn the abstractStrengthening Image Security with Unimodular Hill Cipher and Advanced Encryption StandardSamsul Arifin, Dwi Wijonarko, Monica Mayeni Manurung et al.Digital data security has become increasingly important with the growth of digital image usage, which often contains sensitive information. This study aims to enhance the security of digital images by combining Unimodular Hill Cipher (UHC) and Advanced Encryption Standard (AES) methods. UHC, a matrix-based symmetric encryption algorithm, is used for image matrix encryption, while AES provides an additional layer of … …Journal of Computer Science, Vol. 21, Issue 5 · 22 Apr 2025 · 5,408 accessesView PDFCite
Research ArticleOpen accessIn the abstractComparison of Multivariate Adaptive Regression Splines and Classification Regression Tree for Prediction of Body Weight of Bapedi SheepMadumetja Cyril Mathapo, Ramaisela Barley Mthembu, Albino Joas Tsenane et al.The study aimed to compare the performance of multiple adaptive regression splines and classification regression trees for the prediction of the body weight of Bapedi sheep. A total of 100 Bapedi sheep aged between one and five years old of different sexes were employed. The study measured the following: Body Length (BL), Withers Height (WH), Heart Girth (HG), Rump Height … …American Journal of Animal and Veterinary Sciences, Vol. 19, Issue 3 · 12 Jul 2024 · 5,184 accessesView PDFCite
Research ArticleOpen accessIn the abstractMMP-9 is a Potential Prognostic Marker of Left Ventricular Remodeling in Patients with Coronary Artery DiseaseMikhail Aleksandrovich Popov, Anastasia Vladimirovna Poznyak, Dmitry Valerievich Shumakov et al.Matrix Metalloproteinase-9 (MMP-9) emerges as a promising prognostic marker for assessing left ventricular remodeling in patients with coronary artery disease, particularly in the context of Ischemic Heart Disease (IHD) complicated by left ventricular aneurysm. In this study, we conducted two parallel investigations to explore the prognostic significance of MMP-9 in patients with multivessel coronary artery disease undergoing left ventricular reconstruction … …OnLine Journal of Biological Sciences, Vol. 24, Issue 4 · 11 Jul 2024 · 4,310 accessesView PDFCite
Research ArticleOpen accessIn the abstractBayesian Analysis of Longitudinal Ordinal Data Using Non-Identifiable Multivariate Probit ModelsXiao ZhangMultivariate probit models have been explored foranalyzing longitudinal ordinal data. However, the inherent identification issuein multivariate probit models requires the covariance matrix of the underlyinglatent multivariate normal variables to be a correlation matrix and thushinders the development of efficient Bayesian sampling methods. It is knownthat non-identifiable models may produce Markov Chain Monte Carlo (MCMC)samplers with better convergence and mixing than … …Journal of Mathematics and Statistics, Vol. 18, Issue 1 · 14 Nov 2022 · 6,044 accessesView PDFCite
Research ArticleOpen accessIn the abstractValidation of a Risk Matrix about the Athlete's Oral Health by Analyzing Behavioral and Nutritional HabitsBárbara Capitanio de Souza, Randhall Bruce Carteri, André Luiz Lopes, Bruno Costa TeixeiraThe study proposal was to build a risk matrix on oral health, by analyzing the behavioral and nutritional habits of these individuals and perform your validation. A literature review was carried out to identify risk factors for the oral diseases. The interviewees were 40 volunteer individuals, athletes, professionals or amateurs, or practitioners of physical activity. The validation process consisted of … …Current Research in Dentistry, Vol. 12, Issue 1 · 24 Mar 2021 · 6,576 accessesView PDFCite
Research ArticleOpen accessIn the abstractLocal Features Supported by the Complement Feature for Image SegmentationSalah AmeerAn Eigen formulation is proposed for image thresholding/segmentation. A vector composed of local features, normalized intensity of each pixel and that of the neighboring pixels, is used to represent each pixel. A “complement” component is appended to this vector to produce a “unit” vector. The auto-correlation matrix is computed for each pixel in the image using this unit vector. The … …American Journal of Engineering and Applied Sciences, Vol. 13, Issue 3 · 7 Jul 2020 · 6,602 accessesView PDFCite
Research ArticleOpen accessIn the abstractImage Thresholding Using the Complement FeatureSalah AmeerA new feature (the complement feature) is proposed in an Eigen formulations for performing global image thresholding. The goal is to find an intensity or gray-level value below which is the background while above it is the foreground (object). Each pixel in the image is represented by a (2D) unit vector where the x-component is the normalized (to [0,1] or … …American Journal of Engineering and Applied Sciences, Vol. 13, Issue 2 · 8 Jun 2020 · 6,505 accessesView PDFCite