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The aim of this study is to validate the Spectral Angle Mapper (SAM) algorithm for geological mapping in Central Jebilet Morocco and compare the results between high and medium spatial resolution sen...
In this paper we carry out computational studies of three-dimensional flow over flapping wings. The problems we have investigated include, firstly, three-dimensonal simulation of ...
Better computational efficiency and reduced computational cost for high order CFD method are areas of active research. In this study, we investigate the potential of using dynamic deforming mesh ...
While second order methods for computational simulations of fluid flow provide the basis of widely used commercial software, there is a need for higher order methods for more accurate simu...
The current work focuses on applying an arti cial viscosity approach to the Spectral Di erence (SD) method to enable high-order computation of compressible uid ows with discontinuities. The study modi...
The objective of this study is to compare and contrast three numerical algorithms that can be used to estimate the forces and pressure distribution on wings in flapping motion. All algorithms ar...
Flow past a single rotating cylinder has been studied, both numerically and experimen tally, by many authors. In contrast is the flow past rotating cylinders in a side-by-side arrangement, which...
This paper follows up on the authors’ recent paper.1It is shown here that it is possible to obtain reasonable improvement in the results utilizing Vorticity Confinement method. The previous pape...
An efficient, high-order, conservative method named the spectral difference method has been developed recently for conservation laws on unstructured grids. It combines the best features of struc...
The Time Spectral Algorithm is proposed for the fast and efficient computation of time periodic turbulent Navier-Stokes calculations past two- and three-dimensional bodies.
This paper extends upon our previous work using i-vectors for speaker diarization. We examine the effectiveness of spectral clustering as an alternative to our previous approach using Kmeans clusterin...
Linear Discriminant Analysis (LDA) is a popular method for dimensionality reduction and classification. In real-world applications when there is no sufficient labeled data, LDA suffers fro...
Background: Peptide identification via tandem mass spectrometry is the basic task of current proteomics research. Due to the complexity of mass spectra, the majority of mass spectra cannot be interpre...
The goal of this paper is to determine analytical expression for the spectral density function of a signal, affected by a known frequency transformation, which do not modify the process energy. Such t...

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