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643 articles for “Dataset”
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Research ArticleOpen accessIn the abstractPoetry Classification Using Support Vector MachinesShahrul Azman Noah, Noraini Jamal, Masnizah MohdProblem statement: Traditional Malay poetry called pantun is a form of art to express ideas, emotions and feelings in the form of rhyming lines. Malay poetry usually has a broad and deep meaning making it difficult to be interpreted. Moreover, few efforts have been done on automatic classification of literary text such as poetry. Approach: This research concerns with the … …Journal of Computer Science, Vol. 8, Issue 9 · 8 Aug 2012 · 8,874 accessesView PDFCite
Research ArticleOpen accessIn the abstractRecognition of Hindi (Arabic) Handwritten NumeralsRawan I. Zaghloul, Dojanah M.K. Bader Enas, F. AlRawashdehRecognition of handwritten numerals has been one of the most challenging topics in image processing. This is due to its contributions in the automation process in several applications. The aim of this study was to build a classifier that can easily recognize offline handwritten Arabic numerals to support those applications that are deal with Hindi (Arabic) numerals. A new algorithm … …American Journal of Engineering and Applied Sciences, Vol. 5, Issue 2 · 1 Aug 2012 · 8,180 accessesView PDFCite
Research ArticleOpen accessIn the abstractA New Algorithm for Fractal Coding Using Self Organizing MapS. Bhavani, k. ThanushkodiProblem statement: In medical imaging, lossy compression schemes are generally not used due to possible loss of useful clinical information and also degradations may result in lossy compression owing to operations like enhancement. As the medical images are huge in size a good lossy compression technology is required to store them in medical archives in an economical manner. There is … …Journal of Computer Science, Vol. 8, Issue 6 · 15 Mar 2012 · 7,588 accessesView PDFCite
Research ArticleOpen accessIn the abstractProviding Collaborative Algorithms Support for Personal Health CareVladimir Trajkovik, Elena Vlahu-Gjorgievska, Igor Kulev, Saso KoceskiProblem statement: Today, there is a growing interest towards the adoption of novel technology in the field of medical monitoring and personal health care systems in general. This is especially case with certain categories of people suffering from chronicle diseases that need 24 h access to medical care. Approach: To solve this challenging issue, a model of a system containing … …Current Research in Bioinformatics, Vol. 1, Issue 1 · 8 Mar 2012 · 7,293 accessesView PDFCite
Research ArticleOpen accessIn the abstractParallel Memetic Algorithm for VLSI Circuit Partitioning Problem using Graphical Processing UnitsP. Subbaraj, P. SivakumarProblem statement: Memetic Algorithm (MA) is a form of population-based hybrid Genetic Algorithm (GA) coupled with an individual learning procedure capable of performing local refinements. Here we used genetic algorithm to explore the search space and simulated annealing as a local search method to exploit the information in the search region for the optimization of VLSI netlist bi-Partitioning problem. However, … …Journal of Computer Science, Vol. 8, Issue 5 · 27 Feb 2012 · 7,094 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Gene Selection Algorithm using Bayesian Classification ApproachAlok Sharma, Kuldip K. PaliwalIn this study, we propose a new feature (or gene) selection algorithm using Bayes classification approach. The algorithm can find gene subset crucial for cancer classification problem. Problem statement: Gene identification plays important role in human cancer classification problem. Several feature selection algorithms have been proposed for analyzing and understanding influential genes using gene expression profiles. Approach: The feature selection … …American Journal of Applied Sciences, Vol. 9, Issue 1 · 24 Nov 2011 · 8,312 accessesView PDFCite
Research ArticleOpen accessIn the abstractA New Cooperative Algorithm Based on PSO and K-Means for Data ClusteringMehdi Neshat, Shima Farshchian Yazdi, Daneyal Yazdani, Mehdi SargolzaeiProblem statement: Data clustering has been applied in multiple fields such as machine learning, data mining, wireless sensor networks and pattern recognition. One of the most famous clustering approaches is K-means which effectively has been used in many clustering problems, but this algorithm has some drawbacks such as local optimal convergence and sensitivity to initial points. Approach: Particle Swarm Optimization … …Journal of Computer Science, Vol. 8, Issue 2 · 19 Nov 2011 · 7,975 accessesView PDFCite
Research ArticleOpen accessIn the abstractEfficient Classification of Cancer using Support Vector Machines and Modified Extreme Learning Machine based on Analysis of Variance FeaturesA. Bharathi, A.M. NatarajanProblem statement: The primary objective is to propose efficient cancer classification techniques which provide reliable and significant classification accuracy. To achieve this primary research goal is to find the smallest set of genes that can ensure high accuracy in classification using supervised machine learning algorithms. The significance of finding the minimum subset is three fold: (a) The computational burden and … …American Journal of Applied Sciences, Vol. 8, Issue 12 · 22 Oct 2011 · 7,446 accessesView PDFCite
Research ArticleOpen accessIn the abstractOn the Fly Negotiation for Urgent Service Level Agreement on Intercloud EnvironmentNawfal A. Mehdi, Ali Mamat, Hamidah Ibrahim, Shamala K. SubramaniamProblem statement: Impatient jobs are the jobs that have strict constraints in starting and completion time and need a fast response and attention in mapping to resources. The negotiation process in cloud computing needs a customer-provider agreement that leads to loss of a significant amount of time for impatient jobs. The huge increasing in cloud service providers makes selecting the … …Journal of Computer Science, Vol. 7, Issue 10 · 11 Aug 2011 · 7,953 accessesView PDFCite
Research ArticleOpen accessIn the abstractImpatient Task Mapping in Elastic Cloud using Genetic AlgorithmNawfal A. Mehdi, Ali Mamat, Hamidah Ibrahim, Shamala K. SubramaniamProblem statement: Task scheduling is the main factor that determines the performance of any distributed system. Cloud computing comes with a paradigm of distributed datacenters. Each datacenter consists of physical machines that host virtual machines to execute customers’ tasks. Resources allocation on the cloud is different from other paradigms and the mapping algorithms need to be adapted to the new … …Journal of Computer Science, Vol. 7, Issue 6 · 14 Jun 2011 · 8,039 accessesView PDFCite