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115 results for “Dimensional Analysis”
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Research ArticleOpen accessIn the abstractAutism Detection from 2D Transformed EEG Signal using Convolutional Neural NetworkZahrul Jannat Peya, M. A. H. Akhand, Jannatul Ferdous Srabonee, Nazmul SiddiqueAutism Spectrum Disorder (ASD) is a neurodevelopmental disorder relating to speech complications, nonverbal and social communication, and repetitive behaviors. There is no remedy for ASD but early diagnosis, mediation, and supportive care can aid the development of language, conduct, and communication skills. As the cause of ASD is a neurodevelopmental disorder, its diagnosis based on brain function analyzing different brain … …Journal of Computer Science, Vol. 18, Issue 8 · 31 Jul 2022 · 7,921 accessesView PDFCite
Research ArticleOpen accessIn the abstractAnalysis of the Interaction between the Lining of a TBM Tunnel and the Ground Using the Convergence-Confinement MethodPierpaolo OresteThe support used when a tunnel is excavated by a shielded TBM is complex because it consists of two different materials: A concrete segmental lining and a filler annulus between the lining and the tunnel wall. A detailed analysis of the behavior of such a support system requires a three-dimensional numerical modeling and should also consider the presence of the … …American Journal of Applied Sciences, Vol. 12, Issue 4 · 17 Jun 2015 · 7,183 accessesView PDFCite
Research ArticleOpen accessIn the abstractThree Dimensional Investigation of Mode I Stress Intensity Factor Variations in Crack Front Using Finite Element MethodM. M. MirsayarOverall failure may occur in many engineering structures due to the initiation and growth of cracks. Stress intensity factors are extensively used to investigate crack growth in Linear Elastic Fracture Mechanics (LEFM). In many cracked specimens, the stress singularity varies through the thickness and therefore, investigation of stress intensity factor variation in crack front and determination of its maximum value … …American Journal of Engineering and Applied Sciences, Vol. 8, Issue 1 · 26 Jan 2015 · 7,331 accessesView PDFCite
Research ArticleOpen accessIn the abstractPerformance Analysis of Classification Algorithms on Medical Diagnoses-a SurveyS. Vanaja, K. RameshkumarThe aim of this research paper is to study and discuss the various classification algorithms applied on different kinds of medical datasets and compares its performance. The classification algorithms with maximum accuracies on various kinds of medical datasets are taken for performance analysis. The result of the performance analysis shows the most frequently used algorithms on particular medical dataset and … …Journal of Computer Science, Vol. 11, Issue 1 · 22 Sep 2014 · 7,359 accessesView PDFCite
Research ArticleOpen accessIn the abstractCOMBINATION OF DIFFERENCE SUBSPACE AND OPPURTUNISTIC CLUSTERING ON HIGH DIMENSIONAL DATAM. Ravichandran, A. ShanmugamClustering is recognized as sigificant technique for analysing data and concentric effort has been taken in different domains comprises of recognition of pattern, statistical analysis and data mining for decades. Subspace clustering is developed from the group of cluster objects from all subspaces of a dataset. During clustering of objects involing higher dimension, the accuracy and effectiveness of traditional clustering … …Journal of Computer Science, Vol. 10, Issue 8 · 11 Mar 2014 · 6,355 accessesView PDFCite
Research ArticleOpen accessIn the abstractA common Protein Extraction Protocol for Proteomic Analysis: Horse Gram a Case StudyJyoti Bhardwaj, Sudesh Kumar YadavThree protocols viz. Trichloroacetic Acid (TCA)-acetone, phenol and multi-detergent were compared for the extraction of proteins from horsegram (Macrotyloma uniflorum) which is less studied yet nutritionally and economically very important pulse crop. Almost equal quantity of proteins was extracted by all the three protocols. However, quality of protein from phenol method was superior to that from other protocols. Bands in … …American Journal of Agricultural and Biological Sciences, Vol. 8, Issue 4 · 28 Oct 2013 · 7,925 accessesView PDFCite
Research ArticleOpen accessIn the abstractNumerical Solution for 2D European Option Pricing Using Quarter-Sweep Modified Gauss-Seidel MethodKoh Wei Sin, Jumat Sulaiman, Rasid MailProblem statement: This study presents the numerical solution of two-dimensional European option pricing problem based on Quarter-Sweep Modified Gauss-Seidel (QSMGS) iterative method. In fact, the pricing of European option with two-underlying assets can be governed by two-dimensional Black-Scholes Partial Differential Equation (PDE). Approach: The PDE needs to be discretized by using full-, half- and quarter-sweep second-order Crank-Nicolson schemes to generate … …Journal of Mathematics and Statistics, Vol. 8, Issue 1 · 8 Feb 2012 · 7,773 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Simplified Two-Dimentional Unit Cell Model for Analyzing the Transverse Shear Stiffness of Three-Dimentional Truss-Like Core Sandwich BeamSuphattharachai Chomphan, Manit LeekitwattanaProblem statement: In structural analysis using finite element software, a complex three-dimensional model affects the speed of calculation time. A simplified two-dimensional model should be used for analyzing structural responses to reduce the calculation time. Approach: This study presents a study on the analysis of the transverse shear stiffness of three-dimensional truss-like core sandwich beam using a simplified two-dimensional unit … …American Journal of Applied Sciences, Vol. 9, Issue 2 · 26 Dec 2011 · 7,176 accessesView PDFCite
Research ArticleOpen accessIn the abstractAutomatic Boundary Detection of Wall Motion in Two-dimensional Echocardiography ImagesFaten Abed Ali Dawood, Rahmita Wirza Rahmat, Mohd Zamrin Dimon et al.Problem statement: Medical image analysis is a particularly difficult problem because the inherent characteristics of these images, including low contrast, speckle noise, signal dropouts and complex anatomical structures. An accurate analysis of wall motion in Two-dimensional echocardiography images is “important clinical diagnosis parameter for many cardiovascular diseases”. A challenge most researchers faced is how to speed up the clinical decisions … …Journal of Computer Science, Vol. 7, Issue 8 · 15 Jul 2011 · 8,188 accessesView PDFCite
Research ArticleOpen accessIn the abstractFace Biometrics Based on Principal Component Analysis and Linear Discriminant AnalysisLih-Heng Chan, Sh-Hussain Salleh, Chee-Ming TingProblem statement: In facial biometrics, face features are used as the required human traits for automatic recognition. Feature extracted from face images are significant for face biometrics system performance. Approach: In this thesis, a framework of facial biometric was designed based on two subspace methods i.e., Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA). First, PCA is used for … …Journal of Computer Science, Vol. 6, Issue 7 · 31 Jul 2010 · 7,664 accessesView PDFCite