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131 articles for “Filtering KH”
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Research ArticleOpen accessEvery word in the titleArtificial Neural System for Packet FilteringM. I. Buhari, M. H. Habaebi, B. M. AliIn this study, we analyzed the use of neural network for packet filtering. The neural network system was designed in eight ways with input to the neural network in the form of either access rules or optimized access rules or binary form of access rules or representing wildcards as 0 and 255, or combination of them. These trained neural networks … …Journal of Computer Science, Vol. 1, Issue 2 · 30 Jun 2005 · 6,992 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA New Filtering Algorithm for Duplicate Document Based on Concept AnalysisAhmad M. HasnahData bases and web pages contain currently a huge number of duplicate document. It is then fundamental to have a filter which can be embedded, for instance, within an information retrieval system like a search engine in order to prohibit the redundant documents references to appear on the screen as a reply to the user's query. This filter can save … …Journal of Computer Science, Vol. 2, Issue 5 · 31 May 2006 · 6,741 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleFLANN Detector Based Filtering of Images Corrupted by Impulse NoiseBanshidhar Majhi, Mowafak FathiWe present a novel non-linear scheme for image restoration based on neuro-detector using Functional Link Artificial Neural Network (FLANN) followed by an improved spatial filter. The method is applied to images corrupted by impulse noise with varying strengths and different noise probability. The neural detector is based on the concept of training or learning by examples. When trained properly, the … …Journal of Computer Science, Vol. 1, Issue 3 · 30 Sep 2005 · 7,237 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA Detailed Preserving Medical Image Denoising Using Cluster-Wise PCA Thresholding and Iterative Mean FilteringMohit Sharma, Ayush Dogra, Anita Gupta et al.Image denoising is a vital process in medical imaging that involves removing noise or distortions introduced during image acquisition. Random noise can degrade image quality and reduce contrast, making accurate analysis more challenging. This paper presents a detail-preserving medical image denoising framework based on a hybrid methodology that combines cluster-wise Principal Component Analysis (PCA) thresholding with Iterative Mean Filtering (IMF). … …Journal of Computer Science, Vol. 22, Issue 4 · 18 Apr 2026 · 1,787 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleText Summarization Using Morphological Filtering of Intuitionistic Fuzzy HypergraphDhanya Prabhasadanam Mohanan, Sreekumar Ananda Rao, Jathavedan Madambi, Ramkumar Padinjarepizharath BalakrishnaText Summarization has been an area of interest for many years. It refers to creating a concise text of a document without any lose of information. Researchers in the area of natural language processing have developed many abstractive and extractive methods for creating summary. Abstractive summaries modifies the sentences and creates a modified concise form, while extractive summaries pick relevant … …Journal of Computer Science, Vol. 14, Issue 6 · 25 Jun 2018 · 7,871 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleK-MEANS BASED IMAGE DENOISING USING BILATERAL FILTERING AND TOTAL VARIATIONDanu Wiroteurairuang, Sanun Srisuk, Chom Kimpan, Thanwa SripramongBilateral filter and Total variation image denoising are widely used in image denoising. In low noisy level, bilateral filtering is better than TV denoising for it reveals better SNR and sharper edges. However, in high noisy level, TV denoising outperforms bilateral filtering in terms of SNR and more details of non edges. It is very difficult to perform denoising of … …Journal of Computer Science, Vol. 10, Issue 12 · 30 Dec 2014 · 8,171 accessesView PDFCite
Research ArticleOpen accessEvery word in the titlePARTIAL RULE MATCH FOR FILTERING RULES IN ASSOCIATIVE CLASSIFICATIONYuhanis Yusof, Mohamed Hayel RefaiIn this study, we propose a new method to enhance the accuracy of Modified Multi-class Classification based on Association Rule (MMCAR) classifier. We introduce a Partial Rule Match Filtering (PRMF) method that allows a minimal match of the items in the rule’s body in order for the rule to be added into a classifier. Experiments on Reuters-21578 data sets are … …Journal of Computer Science, Vol. 10, Issue 4 · 9 Dec 2013 · 7,741 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleHardware Approach of a Multipurpose Finite Impulse Response Filter for Real-Time Filtering ApplicationsMd. Syedul Amin, Md. Mamun, Labonnah F. RahmanProblem statement: Finite Impulse Response (FIR) filters are widely used in various DSP applications. The design of digital FIR filters is a very basic problem in digital signal processing. A FIR filter with multiple operation capability is certainly very useful for any real-time filtering applications. This article presents a multipurpose FIR filter design modeled by the hardware description language VHDL … …American Journal of Applied Sciences, Vol. 8, Issue 12 · 11 Oct 2011 · 7,150 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA Novel Technique for Extraction Foetal Electrocardiogram using Adaptive Filtering and Simple Genetic AlgorithmMahmoud Ahmed Suliman Ali, XiaoPing ZengProblem statement: Foetal electrocardiogram (FECG) was the best method used to diagnose Foetal heart problem. Knowledge of the foetal heart signal prevents Foetal problems in the earlier stage. Recently, there has been a growing interest in noninvasive method rather than the old invasive method which was more risky for the mother's health. The most significant problem in noninvasive method is … …Current Research in Biostatistics, Vol. 1, Issue 2 · 31 Dec 2010 · 10,407 accessesView PDFCite
Research ArticleOpen accessEvery word in the titlePattern Based Communication System and Its Performance Characteristics Compared to the Matched FilteringOzgur Orcay, Berk UstundagProblem Statement: Pattern Based Communication System (PBCS) aims to handle two prominent restrictions in communication lines. These are the inefficient utilization of the bandwidth under the spectrum limitations and sensitivity of the data transmission rate to the variation of Signal to Noise Ratio (SNR). Approach: The key point of PBCS is to construct the optimal communication signals, which consist of … …Journal of Computer Science, Vol. 7, Issue 1 · 16 Dec 2010 · 7,288 accessesView PDFCite