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62 results for “probability-based method”
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Research ArticleOpen accessIn the keywordsUsing 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 accessIn the keywordsAn Effective History-based Background Extraction SystemSeyed Hashem Davarpanah, Fatimah Khalid, Maryam GolchinProblem statement: In many visions-based surveillance systems, the first step is accomplished by detecting moving objects resulted from subtraction of the current captured frame from the extracted background. So, the results of these systems mainly depend on the accuracy of the background image. Approach: In this study, a proposed background extraction system is presented to model the background using a … …Journal of Computer Science, Vol. 8, Issue 7 · 23 May 2012 · 6,998 accessesView PDFCite
Research ArticleOpen accessIn the abstractEnhancing Network Security through Accurate Asset Discovery Using Lightweight Agent-Based ApproachIshu Sharma, Ahthasham Sajid et al.Any organization's network administrators and security professionals must have an accurate and real state of assets connected to the network to devise different policies for securing critical resources by identifying vulnerabilities. Asset discovery is a challenging and critical task in vulnerability assessment. The vulnerability of the organization’s network can be correctly analysed only with the accurate prediction of connected devices. … …Journal of Computer Science, Vol. 22, Issue 4 · 28 Mar 2026 · 1,940 accessesView PDFCite
Research ArticleOpen accessIn the abstractGeneralized Statistical Inference for Quantiles of Two-Parameter Gamma DistributionMalwane AnandaGamma distribution is a widely used distribution to analyze data in many disciplines such as hydrology, meteorology, environmental monitoring, lifetime testing and reliability. In this study, we look at the statistical inference for the quantiles of two-parameter gamma distribution. The testing and estimation of gamma quantile are required especially in areas such as flood frequency analysis and life testing. For … …Journal of Mathematics and Statistics, Vol. 20, Issue 1 · 12 Feb 2024 · 5,910 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Evolution Framework for Evaluating Intelligent Spectrum Sensing Mechanisms in Cognitive RadioArchana Krishnamuthy, Sudhindra Kumbhashi RajgopalCognitive radio technology has advanced to address the challenge of limited spectrum availability by employing spectrum sensing techniques. This process is framed as a detection problem involving two core hypotheses: Hypo-0 and Hypo-1. Hypo-0 represents the scenario where only noise is present, and its modeling depends on parameters such as the number of observed samples, the timing of signal acquisition, … …Journal of Computer Science, Vol. 21, Issue 8 · 4 Sep 2025 · 5,807 accessesView PDFCite
Research ArticleOpen accessIn the abstractThe User Experience Analysis of Digital Health Tracking Application in IndonesiaSugiarto Hartono, Henricus Bambang Triantono, Hendri Hartono et al.Indonesia has an application for health tracking called SATUSEHAT. This application is used to search for hospitals, record vaccine data, and all functions related to public health. This application was first used since the COVID-19 pandemic in mid-2020. The problem is that people are starting to be reluctant to use the application. Initially, this application had 105 million users. Currently, … …Journal of Computer Science, Vol. 20, Issue 9 · 9 Jul 2024 · 5,260 accessesView PDFCite
Research ArticleOpen accessIn the abstractEpsilon-Insensitive Primal Loss With Support Vector Machine for Robust Cotton Leaf Disease ClassificationPavana Kumar Eramachetty Dhanajayalu, Malathi Sivasamy, Chitveli Siva Balaji YadavCotton diseases significantly reduce both yield and quality of crops, making early and accurate identification of the disease crucial for effective prevention and control. However, achieving a balance between lightweight models and precise classification of cotton diseases remains challenging. This difficulty arises primarily from the dispersed nature of disease symptoms and interference from noisy backgrounds, which complicate the detection process. … …Journal of Computer Science, Vol. 22, Issue 6 · 5 Aug 2026 · 755 accessesView PDFCite
Research ArticleOpen accessIn the abstractVoronoi Partition to Support Data Search in Uncertain Database with k-Bound FilteringSlamet Sudaryanto Nurhendratno, Sudaryanto, Solichul HudaWith the development of mobile technology, one of its main functions is to have mobile navigation capabilities, this is one of the Location-Based Services (LBS). Mobile navigation is designed as a mobile device to be able to monitor access objects from users. Because of the mobile characteristic, the impact on the points of objects to be found always occur a … …Journal of Computer Science, Vol. 16, Issue 12 · 22 Dec 2020 · 6,645 accessesView PDFCite
Research ArticleOpen accessIn the abstractCut-Set Based Method to Determine the Maximum Demand Accommodated by a Multi-State NetworkMoatamad Hassan, Hani AbdouThe reliability of a multi-state network is defined as the probability that the network can successfully send d (demand) units of data from the source to the sink. To predict the value of maximum demand (dmax) that could be accommodated by a network, a cut-set based approach is presented in this study. The presented approach is simple and easy to … …American Journal of Engineering and Applied Sciences, Vol. 13, Issue 3 · 28 Aug 2020 · 6,927 accessesView PDFCite
Research ArticleOpen accessIn the abstractThe Watershed Structures in Controlling Runoff - Case Study of Sardasht Basin in IRANSeyedeh Zahra Hosseini-Teshnizi, Ghodratollah Davoudi, Seyedeh Laleh Razavi, Kaveh Ostad-Ali-AskariIn order to investigate the performance of constructed structures in Sardasht watershed, Soil and Water Assessment Tools model for simulation of runoff and sediment during the studied period of 1996-2012 was carried out for two cases of existence and absence of flood control structures. From 2007 onwards by performing watershed operations in these sub-basins, the average runoff rate decreased about … …American Journal of Engineering and Applied Sciences, Vol. 13, Issue 1 · 26 Feb 2020 · 7,346 accessesView PDFCite