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152 articles for “random process”
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Research ArticleOpen accessIn the abstractHYBRID FEATURE SELECTION ALGORITHM FOR INTRUSION DETECTION SYSTEMSeyed Reza Hasani, Zulaiha Ali Othman, Seyed Mostafa Mousavi KahakiNetwork security is a serious global concern. Usefulness Intrusion Detection Systems (IDS) are increasing incredibly in Information Security research using Soft computing techniques. In the previous researches having irrelevant and redundant features are recognized causes of increasing the processing speed of evaluating the known intrusive patterns. In addition, an efficient feature selection method eliminates dimension of data and reduce redundancy … …Journal of Computer Science, Vol. 10, Issue 6 · 31 Jan 2014 · 7,357 accessesView PDFCite
Research ArticleOpen accessIn the abstractNEURO FUZZY LINK BASED CLASSIFIER FOR THE ANALYSIS OF BEHAVIOR MODELS IN SOCIAL NETWORKSKannan Arputharaj, Ghosh Dalim Kumar, Indira Priya Ponnuvel, Ganapathy SannasiIn this study, a new link based classifier using neuro fuzzy logic has been proposed for analyzing the social behavior based on Weblog dataset. In this system, data are processed using a multistage structure. This system provides a diagnosis using a neuro fuzzy link based classifier that analyses the user’s behavior to specific diagnostic categories based on their cluster category … …Journal of Computer Science, Vol. 10, Issue 4 · 9 Dec 2013 · 6,900 accessesView PDFCite
Research ArticleOpen accessIn the abstractDECISION TREE BASED OCCLUSION DETECTION IN FACE RECOGNITION AND ESTIMATION OF HUMAN AGE USING BACK PROPAGATION NEURAL NETWORKP. Karthigayani, S. SridharOcclusion detection in face verification is an essential problem that has not widely addressed. In this study the research is deals about occlusion detection in face recognition and estimation of human age using image processing. The objects hide from another object is called as occlusion. Occlusion conditions may vary from face wearing sunglasses, wearing of scarf in the eyes and … …Journal of Computer Science, Vol. 10, Issue 1 · 12 Nov 2013 · 6,777 accessesView PDFCite
Research ArticleOpen accessIn the abstractIdentifying the Factors Affecting the Participation of Agricultural Cooperatives' MembersBagher ArayeshProblem statement: 40-year history of agricultural production cooperatives in the country shows that this type of exploitation system has faced many ups and downs during this period. First, despite the help and support by the government, the cooperative sector has not been able to play a major role in the development of the country and its share has not exceeded … …American Journal of Agricultural and Biological Sciences, Vol. 6, Issue 4 · 31 Dec 2011 · 8,938 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Review of Covering Arrays and Their Application to Software TestingBestoun S. Ahmed, Kamal Z. ZamliProblem statement: As a complex logic system, software may suffer from different source of faults. Those faults can be avoided by applying different testing processes. It appears recently that the interaction among the system factors represents a common source of faults. Software function properly, all input factors and their interactions of the software need to be tested i.e., exhaustive testing. … …Journal of Computer Science, Vol. 7, Issue 9 · 23 Jul 2011 · 8,713 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 · 8,342 accessesView PDFCite
Research ArticleOpen accessIn the abstractApplication of MultiScale Hidden Markov Modeling Wavelet Coefficients to fMRI Activation DetectionFangyuan Nan, Yaonan Wang, Xiaoping MaProblem Statement: The problem of detection of functional magnetic resonance images (fMRIs), that is, to decide active and nonactive regions of human brain from fMRIs is studied in this paper. fMRI research is finding and will find more and more applications in diagnosing and treating brain diseases like depression and schizophrenia. At its initial stage fMRI detection are pixel-wise methods, … …Journal of Mathematics and Statistics, Vol. 4, Issue 4 · 31 Dec 2008 · 7,550 accessesView PDFCite
Research ArticleOpen accessIn the abstractBoric Acid Levels in Fresh Noodles and Fish BallPang-Hung Yiu, Jian See, Amartalingam Rajan, Choon-Fah J. BongBoric acid (H3BO3) is detrimental to human health if consumed in excess. However, it continues to be used in the production of food especially noodles and some processed seafood such as fish ball. Five kinds of noodles and a type of fish ball were collected over a period of four weeks from a random sample of manufacturers in Bintulu, Sarawak, … …American Journal of Agricultural and Biological Sciences, Vol. 3, Issue 2 · 30 Jun 2008 · 10,618 accessesView PDFCite
Research ArticleOpen accessIn the abstractFactors Affecting Agricultural Land Fragmentation in Iran: A Case Study of Ramjerd Sub District in Fars ProvinceKhalil Kalantari, Gholamhossein AbdollahzadehThe objective of this study was to examine the factors influencing fragmentation of landholdings commonly regarded as a major obstacle to agricultural development in Iran. A sample of farmers was selected and household and village-level data from 12 villages of Ramjerd sub district in Fars province were used to test these factors empirically. Required data were collected by questionnaire from … …American Journal of Agricultural and Biological Sciences, Vol. 3, Issue 1 · 31 Mar 2008 · 8,410 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordAnimal Health Prediction Using Hybrid KNN Based Vector Neighbor Classification Model: A Machine Learning ApproachJ. Rathi, A. SumathiAnimal condition disease prediction is a crucial task in veterinary medicine, and accurate prediction can significantly improve animal health and reduce economic losses. This paper proposed a novel hybrid classification model that combines an Improved Fuzzy-based feature selection process with a Hybrid KNN-based Vector Neighbor Classification model to enhance animal condition disease prediction. The proposed model aims to improve the … …Journal of Computer Science, Vol. 21, Issue 9 · 21 Oct 2025 · 2,905 accessesView PDFCite