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29 articles for “Correlation Matrix”
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Research ArticleOpen accessIn the abstractOrigin Detection of Illicium Verum Hook. f. Based on Sensor Array OptimizationPang Tao, Lv Lu, Chen Xiaoyan et al.In order to improve the identification ability of electronic nosetostar anise from different areas, this study uses sensor array optimization, Particle Swarm Optimization (PSO) and Support Vector Machine (SVM) to effectively improve the discrimination and prediction ability of electronic nose. Firstly, the initial sensor arrays are selected according to the aroma components of star anise. On the basis of extracting … …American Journal of Biochemistry and Biotechnology, Vol. 18, Issue 1 · 21 Jan 2022 · 6,434 accessesView PDFCite
Research ArticleOpen accessIn the abstractMultilevel Image Thresholding Using the Complement FeatureSalah AmeerA novel Eigen formulation is proposed for image segmentation. Each pixel is represented by a unit vector having the x-component as the normalized gray value of the pixel. The axes of inertia are simply the Eigen vectors of the auto-correlation matrix. The largest Eigen vector is used as the point of split. Each sub-image is further split in the same … …American Journal of Engineering and Applied Sciences, Vol. 13, Issue 3 · 28 Aug 2020 · 5,917 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Novel Channel Estimation Technique for Complexity Reduction of Least Minimum Mean Square ErrorHany Mohamed El-Ansary, Hussein Ghouz, Ashraf Mamdouh Aziz, Gamal MabroukChannel estimation technique is to predict the frequency response of the radio channel using pilot signal. Channel estimation technique is important part of LTE receiver design. Such technique is used to recover the transmitted signal correctly and to know how the channel conditions are changed over frequency and time. Each channel estimator has a specified complexity computed according to its … …American Journal of Applied Sciences, Vol. 10, Issue 10 · 5 Sep 2013 · 6,999 accessesView PDFCite
Research ArticleOpen accessIn the abstractFeature Fusion Technique for Colour Texture Classification System Based on Gray Level Co-occurrence MatrixA. Suresh, K. L. ShunmuganathanIn this study, an efficient feature fusion based technique for the classification of colour texture images in VisTex album is presented. Gray Level Co-occurrence Matrix (GLCM) and its associated texture features contrast, correlation, energy and homogeneity are used in the proposed approach. The proposed GLCM texture features are obtained from the original colour texture as well as the first non … …Journal of Computer Science, Vol. 8, Issue 12 · 5 Jan 2013 · 6,615 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Novel Enhancement Technique of the Hill Cipher for Effective Cryptographic PurposesA. F.A. Abidin, O. Y. Chuan, M. R.K. AriffinProblem statement: The Hill cipher is the first polygraph cipher which has a few advantages in data encryption. However, it is vulnerable to known plaintext attack. Besides, an invertible key matrix is needed for decryption. It may become problematic since an invertible key matrix does not always exist. Approach: In this study, a robust Hill algorithm (Hill++) has been proposed. … …Journal of Computer Science, Vol. 7, Issue 5 · 7 May 2011 · 8,545 accessesView PDFCite
Research ArticleOpen accessIn the abstractEstimation of Genetic Correlations on Sweet Corn Inbred Lines Using SAS Mixed ModelPedram Kashiani, Ghizan SalehProblem statement: Genetic correlations among traits refer to the extent of relatedness among them due to genetic causes. Estimating genetic correlations for quantitative traits is tedious if done manually. Approach: However, the use of the computer software SAS, applying mixed-model analysis of variance has facilitated many recent studies in evolutionary quantitative genetics. Results: In this two-way statistical model, the variance … …American Journal of Agricultural and Biological Sciences, Vol. 5, Issue 3 · 30 Sep 2010 · 10,891 accessesView PDFCite
Research ArticleOpen accessIn the abstractRanking of Simultaneous Equation Techniques to Small Sample Properties and Correlated Random DeviatesA. A. Adepoju, J. O. OlaomiProblem statement: All simultaneous equation estimation methods have some desirable asymptotic properties and these properties become effective in large samples. This study is relevant since samples available to researchers are mostly small in practice and are often plagued with the problem of mutual correlation between pairs of random deviates which is a violation of the assumption of mutual independence between … …Journal of Mathematics and Statistics, Vol. 5, Issue 4 · 31 Dec 2009 · 6,594 accessesView PDFCite
Research ArticleOpen accessIn the abstractThe Performance of Latent Root-M based RegressionHabshah Midi, Lau Ung HuaProblem statement: In the presence of multicollinearity, the estimation of parameters in multiple linear regression models by means of Ordinary Least Squares (OLS) is known to suffer severe distortion. An alternative approach was to use the modified OLS which was based on the latent roots and latent vectors of the correlation matrix of the independent and dependent variables. This procedure … …Journal of Mathematics and Statistics, Vol. 5, Issue 1 · 31 Mar 2009 · 8,654 accessesView PDFCite
Research ArticleOpen accessIn the abstractImproving Protein 3D Structure Prediction Accuracy using Dense Regions Areas of Secondary Structures in the Contact MapAmer F. Al-Badarneh, Mohammad A. Khalil, Mo'taz A. Al-HamiProblem Statement: The protein folding problem is a fundamental problem in structural molecular biology. This problem describes how a protein is transformed from its primary sequence (i.e., amino acid sequence) into the three dimensional structure (3D structure) for this sequence that determines the function of the protein. The 3D structure of a protein can be represented using a square symmetrical … …American Journal of Biochemistry and Biotechnology, Vol. 4, Issue 4 · 31 Dec 2008 · 7,533 accessesView PDFCite
Research ArticleOpen accessIn the abstractCorrelation Between MMP-3, TIMP-3 Expression and Neuronal Apoptosis After Ischemia -Reperfusion Injury in RatesZi Xiaohong, Mutasem Abuhamed, Yuan Yi et al.Matrix metalloproteinases (MMPs) play a central role in many biological processes, such as embryogenesis, normal tissue remodeling, wound healing, and angiogenesis. How MMP3, TIMP3 expression and neuronal apoptosis (Fas, Fas-L and Bcl) may provide detrimental or beneficial actions during the injury and repair processes after cerebral ischemia-reperfusion injury in rates was studied. Adult rats underwent middle cerebral artery occlusion (MCAO) … …American Journal of Immunology, Vol. 3, Issue 2 · 30 Nov 2007 · 7,175 accessesView PDFCite