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279 articles for “classification problem”
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Research ArticleOpen accessIn the abstractIris Recognition Using Discrete Cosine Transform and Artificial Neural NetworksAhmad M. SarhanProblem statement: The study presented an efficient Iris recognition system. Approach: The design used the discrete cosine transform for feature extraction and artificial neural networks for classification. The iris images used in this system were obtained from the CASIA database. Results: A robust system for iris recognition was developed. Conclusion: An iris recognition system that produces very low error rates … …Journal of Computer Science, Vol. 5, Issue 5 · 30 May 2009 · 7,760 accessesView PDFCite
Research ArticleOpen accessIn the abstractColor Image Reconstruction Using A New R'G'I ModelAkram A. Moustafa, Ziad A. AlqadiProblem statement: A new color model for digital image was discussed; this model can be used to separate low and high frequencies in the image without loosing any information from the image. Approach: A comparative study between different color models (RGB, HSI) applied to a very large microscopic image analysis and the proposed model was presented. Such analysis of different … …Journal of Computer Science, Vol. 5, Issue 4 · 30 Apr 2009 · 7,493 accessesView PDFCite
Research ArticleOpen accessIn the abstractAlmost Graded Prime IdealsAmeer Jaber, Malik Bataineh, Hani KhashanProblem Statement: Graded commutative ring with unity over an abelian group were introduced by many authors such as T. Y. Lam and C. T. C. Wall, and almost prime ideals over commutative rings with unity were introduced by S.M. Batwadeker and P.K. Sharma, and this forced us to try to extend the theory of almost and n-almost prime ideals to … …Journal of Mathematics and Statistics, Vol. 4, Issue 4 · 31 Dec 2008 · 7,036 accessesView PDFCite
Research ArticleOpen accessIn the abstractPrevalence and Histopathologic Analyses of Mammary Tumors in Female Dogs in the Northeast of AlgeriaZahra GABLI, Leila BEDDAR, Amir Agabou et al.Cancers development and complications are a major cause of death in dogs all over the world. The current study attempts to describe the prevalence and anatomo-pathologic traits of mammary gland tumors (MGTs) in bitches in northeast Algeria. From November 2013 to April 2016, a total of 215 bitches originating from four provinces (Constantine, Oum El Bouaghi, Annaba and Skikda) were … …OnLine Journal of Biological Sciences, Vol. 17, Issue 3 · 26 Sep 2017 · 7,549 accessesView PDFCite
Research ArticleOpen accessIn the abstractSTRATEGIC MANAGEMENT IN TIMES OF CRISISMaximilian GrohThis aim of this article is to identify unusual strategic-management matters in times of crisis. The research scope is strategic management processes, the characteristics of the processes and methods of strategic crisis management. The study reports research on the contemporary state of strategic crisis-management problems and provides an analysis of some theoretical and methodological principles. The analysis includes a classification … …American Journal of Economics and Business Administration, Vol. 6, Issue 2 · 27 Jun 2014 · 10,722 accessesView PDFCite
Research ArticleOpen accessIn the abstractA SURVEY: PARTICLE SWARM OPTIMIZATION-BASED ALGORITHMS FOR GRID COMPUTING SCHEDULING SYSTEMSFaruku Umar Ambursa, Rohaya LatipBio-inspired heuristics have been promising in solving complex scheduling optimization problems. Several researches have been conducted to tackle the problems of task scheduling for the heterogeneous and dynamic grid systems using different bio-inspired mechanisms such as Genetic Algorithm (GA), Ant Colony Optimization (ACO), Particle Swarm Optimization (PSO). PSO has been proven to have a relatively more promissing performance in dealing … …Journal of Computer Science, Vol. 9, Issue 12 · 25 Nov 2013 · 6,662 accessesView PDFCite
Research ArticleOpen accessIn the abstractHALF OF THRESHOLD ALGORITHM: AN ENHANCED LINEAR ADAPTIVE SKIPPING TRAINING ALGORITHM OR MULTILAYER FEEDFORWARD NEURAL NETWORKSManjula Devi Ramasamy, Kuppuswami Subbaraya GounderMultilayer Feed Forward Neural Network (MFNN) has been successfully administered architectures for solving a wide range of supervised pattern recognition tasks. The most problematic task of MFNN is training phase which consumes very long training time on very huge training datasets. An enhanced linear adaptive skipping training algorithm for MFNN called Half of Threshold (HOT) is proposed in this research … …American Journal of Applied Sciences, Vol. 11, Issue 1 · 22 Nov 2013 · 7,020 accessesView PDFCite
Research ArticleOpen accessIn the abstractHodsong: A Monastery Ritual for a Local Wisdom Ceremony for the Monk RankingTheerapong Meethaisong, Pisit Boonchai, Kosit PangsoiThe ranking order of monk in Isan, Thailand was influenced mostly from Buddhist believe and practices starting from Lanchang period and this religious believe become the common practices and the tool for local community in strengthening harmony and unity. One of the important religious ceremony calls Hodsong ceremony. The research area covered Maha Sarakham, Roi Et and Kalasin provinces which … …American Journal of Applied Sciences, Vol. 10, Issue 12 · 2 Nov 2013 · 7,132 accessesView PDFCite
Research ArticleOpen accessIn the abstractRadial Basis Function Network Dependent Exclusive Mutual Interpolation for Missing Value ImputationR. S. Somasundaram, R. NedunchezhianThe success of data mining relies on the purity of the data set. Before performing the data mining, the data has to be cleaned. An unprocessed data set may contain noisy or missing values which is a critical research issue in the pre-processing stage. Imputation methods are being used to solve the missing value problems. In this proposed work, a … …Journal of Computer Science, Vol. 9, Issue 3 · 24 Apr 2013 · 7,008 accessesView PDFCite
Research ArticleOpen accessIn the abstractBlock Methods based on Newton Interpolations for Solving Special Second Order Ordinary Differential Equations DirectlyYap Lee Ken, Fudziah Ismail, Mohamed Suleiman, Suriah Md. AminThis study focused mainly on the derivation of the 2 and 3-point block methods with constant coefficients for solving special second order ordinary differential equations directly based on Newton-Gregory backward interpolation formula. The performance of the new methods was compared with the conventional 1-point method using a standard set of test problems. Numerical results were presented to illustrate the effectiveness … …Journal of Mathematics and Statistics, Vol. 4, Issue 3 · 30 Sep 2008 · 8,126 accessesView PDFCite