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28 results for “Probabilistic Algorithm”
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Research ArticleOpen accessIn the abstractPROBABILISTIC PERIODIC REVIEW INVENTORYMODELUSING LAGRANGE TECHNIQUE AND FUZZY ADAPTIVE PARTICLE SWARM OPTIMIZATIONH. A. Fergany, N. A. El-Hefnawy, O. M. HollahThe integration between inventory model and Artificial Intelligent (AI) represents the rich area of research since last decade. In this study we investigate probabilistic periodic review <Q<qm, N> inventory model with mixture shortage (backorder and lost sales) using Lagrange multiplier technique and Fuzzy Adaptive Particle Swarm Optimization (FAPSO) under restrictions. The objective of these algorithms is to find the optimal … …Journal of Mathematics and Statistics, Vol. 10, Issue 3 · 11 Aug 2014 · 7,025 accessesView PDFCite
Research ArticleOpen accessIn the abstractQUEUEING MODELS IN MOBILE AD-HOC NETWORKSS. Baskar, S. PalaniammalThe Mobile Ad-hoc Networks (MANETs) has gain an essential part of the attention of researchers and become very well-liked in last few years. MANETs can operate with no fixed communications and can live rapid changes in the network topology. They can be studied officially as graphs in which the set of boundaries varies in time. One of the main methods … …American Journal of Applied Sciences, Vol. 11, Issue 2 · 26 Dec 2013 · 6,823 accessesView PDFCite
Research ArticleOpen accessIn the abstractA NOVEL EMAIL RESPONSE ALGORITHM FOR EMAIL MANAGEMENT SYSTEMSAbdulkareem Al-AlwaniEmail has been one of the most commonly used tool for communication in the recent years and email management has evolved as a major challenge due to prevailing situation of online email congestion. This study presents a novel algorithm for automatic email response methodology in an Email Management System to minimize email overload. The proposed model uses Bayes classifier to … …Journal of Computer Science, Vol. 10, Issue 4 · 23 Dec 2013 · 7,052 accessesView PDFCite
Research ArticleOpen accessIn the abstractEfficacious Geospatial Information Retrieval Using Density Probabilistic Document Correlation ApproachR. Uma, MuneeswaranInformation Retrieval (IR) is a profound technique to find information that addresses the need of query. Processing of normal text is easier and information can be retrieved efficiently. There are plenty of algorithms in hand to carry out the normal text retrieval. Whereas retrieving geospatial information is very complex and requires additional operations to be performed. Since geospatial data contain … …Journal of Computer Science, Vol. 9, Issue 1 · 16 Feb 2013 · 7,017 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Single Core Hardware Module of a Data Compression Scheme Using Prediction by Partial Matching TechniqueJubayer Jalil, Md. Mamun, Mohd. Marufuzzaman, Hafizah HusainProblem statement: Compression is useful because it helps reduce the consumption of expensive resources, such as hard disk space or transmission bandwidth. For effective data compression, the compression algorithm must be able to predict future data accurately in order to build a good probabilistic model for compression. Lossless compression is essential in cases where it is important that the original … …American Journal of Applied Sciences, Vol. 8, Issue 11 · 7 Oct 2011 · 7,258 accessesView PDFCite
Research ArticleOpen accessIn the abstractLatent Dirichlet Allocation Model for Raga Identification of Carnatic MusicRajeswari Sridhar, Manasa Subramanian, B. M. Lavanya et al.Problem statement: In this study the Raga of South Indian Carnatic music is determined by constructing a model. Raga is a pre-determined arrangement of notes, which is characterized by an Arohana and Avarohana, which is the ascending and descending arrangement of notes and Raga lakshana. Approach: In this study a Latent Dirichlet Allocation (LDA) model is constructed to identify the … …Journal of Computer Science, Vol. 7, Issue 11 · 30 Aug 2011 · 7,741 accessesView PDFCite
Research ArticleOpen accessIn the abstractMembrane Computing as a Modeling Tool for Discrete SystemsRavie Chandren Muniyandi, Abdullah Mohd. ZinProblem statement: Discrete systems have been modeled by using Ordinary Differential Equation (ODE) in which the variation of concentration of an object was modeled as continuous and deterministic manner, contrary to the real behaviors of such systems. Although, this approaches able to generate the general behavior of the system, the specific discrete processes and stochastic behaviors in the system have … …Journal of Computer Science, Vol. 7, Issue 11 · 24 Aug 2011 · 6,796 accessesView PDFCite
Research ArticleOpen accessIn the abstractImproving the Performance of Multivariate Bernoulli Model based Documents Clustering Algorithms using Transformation TechniquesPerumal Pitchandi, Nedunchezhian RajuProblem statement: Document clustering is the most important areas of data mining since they are very much and currently the subject of significant global research since such areas strengthen the enterprises of web intelligence, web mining, web search engine design and so forth. Generative models based on the multivariate Bernoulli and multinomial distributions have been widely used for text classification. … …Journal of Computer Science, Vol. 7, Issue 5 · 7 May 2011 · 7,284 accessesView PDFCite
Research ArticleOpen accessIn the abstractModeling A Multi-Compartments Biological System with Membrane ComputingRavie Chandren Muniyandi, Abdullah Mohd. ZinProblem statement: Most of the biological systems have been hierarchical in structure with processes interacting between different compartments. Membrane computing formalism has provided modeling capabilities in representing the structure of biological systems. Approach: This study was carried to investigate the modeling of a multi-compartment biological system by using membrane computing formalism. The hormone-induced calcium oscillations in liver cells which was … …Journal of Computer Science, Vol. 6, Issue 10 · 10 Aug 2010 · 7,258 accessesView PDFCite
Research ArticleOpen accessIn the abstractUsing Both a Probabilistic Evolutionary Graph and the Evidence Theory for Color Scene AnalysisNassim Ammour, Abderrezak Guessoum, Daoud BerkaniIn this research, we introduce a new color images segmentation algorithm. The color scene analytic method is based on the progress of a probabilistic evolutionary graph. The strategy consists in making grow an evolutionary graph, which presents the scene elements in an unsupervised segmented image. The graph evolution development is based on the computation of the belonging probabilities to the … …American Journal of Applied Sciences, Vol. 5, Issue 12 · 31 Dec 2008 · 7,018 accessesView PDFCite