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115 articles for “Partition”
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Research ArticleOpen accessIn the abstractApplying Information Theory Analysis for the Solution of Biomedical Data Processing ProblemsDavid Blokh, Ilia StamblerThe use of information-theoretical methods can be highly valuable for the solution of biomedical data processing problems. Some of the problems that can be solved by those methods include: The assessment of the influence of diagnostic parameters, biomarkers and risk factors, on the emergence of disease; the discretization of diagnostic parameters; the analysis of a combined influence of a group … …Current Research in Bioinformatics, Vol. 3, Issue 1 · 13 Jan 2015 · 9,638 accessesView PDFCite
Research ArticleOpen accessIn the abstractCOMPUTER AIDED SEGMENTATION OF BRAIN TISSUES USING SOFT COMPUTING TECHNIQUESD. Ramkumar, I. Jacob Raglend, K. BatriIn this study, an efficient computer aided classification of brain tissue in to Gray Matter (GM), White Matter (WM) and Cerebro-Spinal Fluid (CSF) is proposed. The proposed work consists of the following sub blocks like denosing, feature extraction and Classifier. This initial partition is performed by ANFIS after extracting the textural features like local binary pattern and histogram features. The … …American Journal of Applied Sciences, Vol. 11, Issue 6 · 17 Apr 2014 · 6,668 accessesView PDFCite
Research ArticleOpen accessIn the abstractIDENTIFICATION AND CHARACTERIZATION OF EXTREME RAINFALLS DISTRIBUTION IN MALANG RESIDENCEAmran, Iriawan Nur, Subiono, IrhamahExtreme rainfalls often occur everywhere just in a moment, very difficult to be anticipated and produce very detrimental impact to the environment and human society. Floods and landslides are influenced by high variability of extreme rainfalls, especially in the watershed area for floods and the hills as well as mountains for landslides, such as in Malang Residence, East Java, Indonesia … …Journal of Mathematics and Statistics, Vol. 9, Issue 4 · 30 Nov 2013 · 6,771 accessesView PDFCite
Research ArticleOpen accessIn the abstractA NOVEL MULTICLASS SUPPORT VECTOR MACHINE ALGORITHM USING MEAN REVERSION AND COEFFICIENT OF VARIANCEBhusana Premanode, Jumlong Vongprasert, Nop Sopipan, Christofer ToumazouInaccuracy of a kernel function used in Support Vector Machine (SVM) can be found when simulated with nonlinear and stationary datasets. To minimise the error, we propose a new multiclass SVM model using mean reversion and coefficient of variance algorithm to partition and classify imbalance in datasets. By introducing a series of test statistic, simulations of the proposed algorithm outperformed … …Journal of Mathematics and Statistics, Vol. 9, Issue 3 · 31 Jul 2013 · 6,937 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Efficient Method for Contrast Enhancement in Still Images using Histogram Modification FrameworkC. G. Ravichandran, V. MagudeeswaranProblem statement: Image enhancement improves an image appearance by increasing dominance of some features or by decreasing ambiguity between different regions of the image. Histogram based image enhancement technique is mainly based on equalizing the histogram of the image and increasing the dynamic range corresponding to the image. Approach: Histogram Equalization is widely used in different ways to perform contrast … …Journal of Computer Science, Vol. 8, Issue 5 · 2 Mar 2012 · 8,012 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Review on Recent Research and Implementation Methodologies on Medical Image SegmentationS. K. Somasundaram, P. AlliProblem statement: Image segmentation plays a very important role in digital imaging applications for classifying the anatomical structures and other Regions of Interest. Segmentation refers to the process of identifying and isolating the surface and regions of the digital image which corresponds to the structural units. Approach: In the past few decades, many methods have been proposed to segment the … …Journal of Computer Science, Vol. 8, Issue 1 · 4 Nov 2011 · 7,121 accessesView PDFCite
Research ArticleOpen accessIn the abstractRelation between Macroscopic Binding Constant and the Anticancer Efficacy of the Bovine Serum Albumin-Quercetin Complex against Drug-Sensitive and Drug-Resistant CellsWinit Choiprasert, Chatchanok Loetchutinat, Nathupakorn Dechsupa, Samlee MankhetkornProblem statement: We have previously analyzed the interaction of BSA with flavonoids by using FRET. In this study, the role of BSA on increasing in solubility and on carrying the quercetin derivatives thus enhanced their anticancer efficacy against drug-sensitive and drug-resistant cells were conducted. Approach: The macroscopic (KD) and microscopic (kd) binding constant of the complexation and the cellular partition … …American Journal of Biochemistry and Biotechnology, Vol. 7, Issue 1 · 27 May 2011 · 8,296 accessesView PDFCite
Research ArticleOpen accessIn the abstractEvolution of Neural Controllers for Robot Navigation in Human EnvironmentsGenci Capi, Hideki TodaProblem statement: In this study, we presented a novel vision-based learning approach for autonomous robot navigation. Approach: In our method, we converted the captured image in a binary one, which after the partition is used as the input of the neural controller. Results: The neural control system, which maps the visual information to motor commands, is evolved online using real … …Journal of Computer Science, Vol. 6, Issue 8 · 31 Aug 2010 · 6,788 accessesView PDFCite
Research ArticleOpen accessIn the abstractConstructing Fuzzy Time Series Model Based on Fuzzy Clustering for a ForecastingAshraf K. Abd Elaal, Hesham A. Hefny, Ashraf H. Abd ElwahabProblem statement: In this study researchers introduced a fuzzy time series model depending on fuzzy clustering to solve the problem in which the membership values are assumed as Song and Chissom model and to increase the performance of fuzzy time series model. Approach: Proposed model employed seven main procedures in time-invariant fuzzy time-series and time-variant fuzzy time series models. In … …Journal of Computer Science, Vol. 6, Issue 7 · 31 Jul 2010 · 9,751 accessesView PDFCite
Research ArticleOpen accessIn the abstractPiecewise Sliding Mode Decoupling Fault Tolerant Control SystemRafi Youssef, Hui PengProblem statement: Proposed method in the present study could deal with fault tolerant control system by using the so called decentralized control theory with decoupling fashion sliding mode control, dealing with subsystems instead of whole system and to the knowledge of the author there is no known computational algorithm for decentralized case, Approach: In this study we present a decoupling … …American Journal of Applied Sciences, Vol. 7, Issue 1 · 31 Jan 2010 · 7,391 accessesView PDFCite