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653 results for “Combination”
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Research ArticleOpen accessIn the abstractA Hybrid Method for Automatic Speech Recognition Performance Improvement in Real World Noisy EnvironmentUrmila Shrawankar, Vilas ThakareIt is a well known fact that, speech recognition systems perform well when the system is used in conditions similar to the one used to train the acoustic models. However, mismatches degrade the performance. In adverse environment, it is very difficult to predict the category of noise in advance in case of real world environmental noise and difficult to achieve … …Journal of Computer Science, Vol. 9, Issue 1 · 27 Feb 2013 · 7,754 accessesView PDFCite
Research ArticleOpen accessIn the abstractThe Best Candidates Method for Solving Optimization ProblemsHlayel Abdallah AhmadProblem statement: This study is about describing solution technique called Best Candidates Method (BCM) for solving optimization problems; the goal is to minimize the computation time to get the optimal solution. In this study I apply the BCM to the linear assignment problems (LAP) that is one of the optimization problems in the Operation Research (OR). Approach: The optimization problem … …Journal of Computer Science, Vol. 8, Issue 5 · 27 Feb 2012 · 8,341 accessesView PDFCite
Research ArticleOpen accessIn the abstractCross Validation Evaluation for Breast Cancer Prediction Using Multilayer Perceptron Neural NetworksShirin A. Mojarad, Satnam S. Dlay, Wai L. Woo, Gajanan V. SherbetProblem statement: The presence of metastasis in the regional lymph nodes is the most important factor in predicting prognosis in breast cancer. Many biomarkers have been identified that appear to relate to the aggressive behaviour of cancer. However, the nonlinear relation of these markers to nodal status and also the existence of complex interaction between markers have prohibited an accurate … …American Journal of Engineering and Applied Sciences, Vol. 4, Issue 4 · 20 Feb 2012 · 7,699 accessesView PDFCite
Research ArticleOpen accessIn the abstractClient Device Based Content Adaptation Using Rule BaseVelammal, Anandha KumarProblem statement: Content adaptation have been playing an important role in mobile devices, wherein the content display differs from desktop computers in many aspects, such as display screens, processing power, network connection bandwidth. In order to display web contents appropriately on mobile devices and on other types of devices such as hand computers, PDAs, Smart phones, it is important to … …Journal of Computer Science, Vol. 7, Issue 12 · 22 Oct 2011 · 6,786 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 · 7,441 accessesView PDFCite
Research ArticleOpen accessIn the abstractReduction of Key Search Space of Vigenere Cipher Using Particle Swarm OptimizationGanapathi Sivagurunathan, T. PurusothamanProblem statement: With the demand for effective network security is increasing, it becomes necessary to find the strength and weaknesses of the existing cryptographic methods. Vigenere cipher, a classical cipher is analyzed for its strength against a cipher only attack. Approach: The cipher texts so selected were of various sizes up to 1 Kb. A biologically inspired algorithm, Particle Swarm … …Journal of Computer Science, Vol. 7, Issue 11 · 18 Aug 2011 · 7,234 accessesView PDFCite
Research ArticleOpen accessIn the abstractGenetic Variability in Rhizoctonia solani Isolated from Vitis vinifera Based on Amplified Fragment Length PolymorphismAmparo Meza-Moller, Martin Esqueda, Felipe Sanchez-Teyer et al.Problem statement: Rhizoctonia solani is a potential grapevine pathogen. In order to develop effective methods of control, it is necessary to document its genetic diversity. Approach: The objective of this study was to analyze the genetic variability of R. solani isolated from the rhizosphere of ungrafted V. vinifera var. perlette seedless planted in Sonora, Mexico using Amplified Fragment Length Polymorphism … …American Journal of Agricultural and Biological Sciences, Vol. 6, Issue 3 · 4 Aug 2011 · 8,477 accessesView PDFCite
Research ArticleOpen accessIn the abstractCancer Classification using Support Vector Machines and Relevance Vector Machine based on Analysis of Variance FeaturesA. Bharathi, A.M. NatarajanProblem statement: The objective of this study is, to find the smallest set of genes that can ensure highly accurate classification of cancer from micro array data by using supervised machine learning algorithms. The significance of finding the minimum subset is three fold: The computational burden and noise arising from irrelevant genes are much reduced; the cost for cancer testing … …Journal of Computer Science, Vol. 7, Issue 9 · 25 Jul 2011 · 7,593 accessesView PDFCite
Research ArticleOpen accessIn the abstractEffects of Pollutant Diesel Fuels on Neurobehavioral Performance among Workers in Locomotive DepotAnuar Ithnin, Radiah Abu Hasan Shaari, Mazrura Sahani et al.Problem statement: Diesel fuel contains various combinations of hydrocarbons such as cyclohexane, n-hexane, benzene and toluene which can cause health problems in major exposure of that pollutant in locomotive depots. Studies were conducted to evaluate the exposure towards diesel fuel pollutant and the effect on neurobehavioral performances among workers in locomotive depots. Approach: Method used was questionnaire form and neurobehavioral … …American Journal of Environmental Sciences, Vol. 7, Issue 3 · 11 Jul 2011 · 7,458 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Independent Rough Set Approach Hybrid with Artificial Bee Colony Algorithm for Dimensionality ReductionNambiraj Suguna, Keppana Gowder ThanushkodiProblem statement: Dimensionality reduction is viewed as an important pre-processing step for pattern recognition and data mining. As the classical rough set model considers the entire attribute set as a whole to find the subset, comparing all possible combinations of sets of attributes is difficult. Approach: In this study, we have introduced an improved Rough Set-based Attribute Reduction (RSAR) namely … …American Journal of Applied Sciences, Vol. 8, Issue 3 · 25 Mar 2011 · 8,334 accessesView PDFCite