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131 results for “Filtering KH”
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Research ArticleOpen accessEvery word in the titleMANAT: A Filtering-Based Method for Denoising Nonuniform Photogrammetric Point CloudsYun Sin Chong, Hui Hui Wang, Yin Chai WangThree-dimensional point clouds reconstructed from photogrammetry often exhibit noise and non-uniform sampling density, which challenges existing denoising methods that rely on precise normal estimation or extensive parameter tuning. This study presents the Multi Attribute Neighbour Attraction Technique (MANAT), a novel single-stage, density-adaptive filtering method that jointly leverages spatial position, surface normals, and color as inherent photogrammetric attributes for unified noise … …Journal of Computer Science, Vol. 22, Issue 4 · 28 Apr 2026 · 1,524 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleHigh Accurate Multicriteria Cluster-Based Collaborative Filtering Recommender SystemZhila Yaseen Taha, Sadegh Abdollah AminifarA Recommender System (RS) is one of the appropriate answers by researchers for alleviating the problem of customers' overload with information from an internet source. In RS, users' evaluation of the items assists in quickly determining the user's preferences and removing the choosing overhead for the user the next time they search. However, using user ratings for an item based … …Journal of Computer Science, Vol. 18, Issue 12 · 10 Dec 2022 · 5,914 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA Content Filtering from Spam Posts on Social Media using Weighted Multimodal ApproachChastine Fatichah, Wildan F. Lazuardi, Dini A. Navastara et al.The system for filtering spam posts on social media is preferred to obtain the relevant content and expected by users. The previous works on spam detection have been done to filter irrelevant content on email and social media based on text or image separately. Due to the social media posts are commonly in the form of image, text, or both, … …Journal of Computer Science, Vol. 17, Issue 1 · 21 Jan 2021 · 7,904 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleFeatures Reweighting and Similarity Coefficient Based Method for Email Spam FilteringAli Ahmed, Ammar Ahmed E. Elhadi, Ahmed Osman Ali ElsiddigSpam is flooding the Internet with many copies of the same message, in an attempt to force the message on people who would not otherwise choose to receive it. Anti spam by determining whether or not an incoming email is spam has become an important problem. One of the main characters or the problem of Spam filtering is its high … …American Journal of Applied Sciences, Vol. 14, Issue 10 · 13 Oct 2017 · 7,804 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleReduction of PAPR by Using Clipping and Filtering for Different Modulation SchemesArun Kumar, Manisha GuptaOrthogonal Frequency Division Multiplexing (OFDM) is one of the most advanced technologies for high speed data access in mobile communication. It’s significantly increases the capacity, data-rate etc. but one of its disadvantage is high Peak Average Power Ratio (PAPR) which reduce the performance of transmitter amplifier. In this study, PAPR is reduced by using a clipping and filtering technique for … …American Journal of Applied Sciences, Vol. 13, Issue 2 · 13 Feb 2016 · 8,360 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleDetecting an Anomaly Behavior through Enhancing the Mechanism of Packet FilteringMohammed Nazeh Abdul Wahid, Azizol AbdullahThe fundamental task of the Network Traffic Analysis is the ability of capturing and monitoring all the network traffics (incoming and outgoing) for local area network LAN and how the network analyzer is able to analyze and detect errors or any type of suspicious activities such as intruders. The idea of this research is to use flexible packet filtering to … …Journal of Computer Science, Vol. 11, Issue 6 · 1 Sep 2015 · 6,950 accessesView PDFCite
Research ArticleOpen accessEvery word in the titlePerformance, Analysis of Filtering Schedule Using Deblocking Filter for the Reduction of Block Artifacts from MPEQ Compressed Document ImagesM. Anto Bennet, I. Jacob RaglendProblem statement: The visual effects of blocking artifacts can be reduce by using deblocking filter. Also with out smoothing the natural edges,the perceived quality of video sequence can be enchanced. This study propose a method to remove blocking artifacts in low bit-rate block based video coding. Approach: The proposed algorithm has two separate filtering modes, which are selected by pixel … …Journal of Computer Science, Vol. 8, Issue 9 · 8 Aug 2012 · 7,264 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleUsing Multi-Scale Filtering to Initialize a Background Extraction ModelS. H. Davarpanah, Fatimah Khalid, N. A. Lili et al.Problem statement: Probability-based methods which usually work based on the saved history of each pixel are utilized severally in extracting a background image for moving detection systems. Probability-based methods suffer from a lack of information when the system first begins to work. The model should be initialized using an alternative accurate method. Approach: The use of a nonparametric filtering to … …Journal of Computer Science, Vol. 8, Issue 7 · 24 May 2012 · 7,276 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleFPGA-Based Architecture for a Generalized Parallel 2-D MRI Filtering AlgorithmSami Hasan, Said Boussakta, Alex YakovlevProblem statement: Current Neuroimaging developments, in biological research and diagnostics, demand an edge-defined and noise-free MRI scans. Thus, this study presents a generalized parallel 2-D MRI filtering algorithm with their FPGA-based implementation in a single unified architecture. The parallel 2-D MRI filtering algorithms are Edge, Sobel X, Sobel Y, Sobel X-Y, Blur, Smooth, Sharpen, Gaussian and Beta (HYB). Then, the … …American Journal of Engineering and Applied Sciences, Vol. 4, Issue 4 · 20 Feb 2012 · 8,021 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleImprovement of the Simplified Fast Transversal Filter Type Algorithm for Adaptive FilteringMadjid Arezki, Ahmed Benallal, Daoud BerkaniProblem statement: In this study, we proposed a new algorithm M-SMFTF for adaptive filtering with fast convergence and low complexity. Approach: It was the result of a simplified FTF type algorithm, where the adaptation gain was obtained only from the forward prediction variables and using a new recursive method to compute the likelihood variable. Results: The computational complexity was reduced … …Journal of Computer Science, Vol. 5, Issue 5 · 31 May 2009 · 7,700 accessesView PDFCite