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333 articles for “Data Function (DF)”
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Research ArticleOpen accessEvery word in the titleEnhancing Data Transmission Security through the Modified Hill Cipher and Henon Map Chaos FunctionSamsul Arifin, Kevin Tan, Felix Indra Kurniadi et al.The advancement and sophistication of technology in the present era have resulted in millions of people interacting and sharing data through the internet using various platforms such as email, chat applications, and others. This has led to the dissemination of personal information and data worldwide through the internet, which also poses the possibility of data interception by unauthorized parties. Data … …Journal of Computer Science, Vol. 21, Issue 6 · 28 Jun 2025 · 3,638 accessesView PDFCite
InvestigationOpen accessEvery word in the titleBackpropagation Vs. Radial Basis Function Neural Model: Rainfall Intensity Classification For Flood Prediction Using Meteorology DataSoo See Chai, Wei Keat Wong, Kok Luong GohRainfall is one of the important weather variables that vary in space and time. High mean daily rainfall (>30 mm) has a high possibility of resulting in flood. Accurate prediction of this variable would save human lives and properties. Soft computing methods have been widely applied in this field. Among the various soft computing methods, Artificial Neural Network (ANN) is … …Journal of Computer Science, Vol. 12, Issue 4 · 15 Apr 2016 · 8,705 accessesView PDFCite
Research ArticleOpen accessIn the keywordsData Path Management Mechanism to Mesh Base Stations in WiMAXSahar Abdul Aziz Al-Talib, Noor Raad SaadallahThree options are popular today for design of wireless networks - Point-to-Point, Point-to-Multipoint and Mesh topologies. Worldwide interoperability of microwave access (WiMAX) is most often associated with the point-to-multipoint (PMP) topology. For some requirements, the configuration of the base stations (BSs) is aimed to be as mesh. Mesh offers a combination of point-to-point and point-to-multipoint capability by having each of … …American Journal of Engineering and Applied Sciences, Vol. 12, Issue 1 · 22 Mar 2019 · 7,972 accessesView PDFCite
Research ArticleOpen accessIn the keywordsMETADATA DRIVEN EFFICIENT KEY GENERATION AND DISTRIBUTION IN CLOUD SECURITYR. Anitha, Saswati MukherjeeWith rapid development of cloud computing to a greater extent IT industries outsource their sensitive data at cloud data storage location. To keep the stored data confidential against untrusted cloud service providers, a natural way is to store only encrypted data in the cloud severs and providing an efficient access control mechanism using a competent cipher key-Cmxn, which is becoming … …Journal of Computer Science, Vol. 10, Issue 10 · 12 May 2014 · 6,622 accessesView PDFCite
Research ArticleOpen accessIn the keywordsRouting Based Data Security in Mobile Ad Hoc Network Using Group Key ManagementE. Mohanraj, K. DuraiswamyProblem statement: A mobile ad-hoc network (MANET) is a self-organizing system of mobile devices followed an infrastructure less framework associated by wireless links. In MANET, there is a possibility of packet data to get lost or hacked by an attacker. So, to improve a secure communication over MANET from attackers, several techniques have been developed. The previous work developed to … …Journal of Computer Science, Vol. 8, Issue 10 · 29 Aug 2012 · 6,697 accessesView PDFCite
Research ArticleOpen accessIn the keywordsFuzzy Parametric of Sample Selection Model Using Heckman Two-Step Estimation ModelsM. S. Lola, A. A. Kamil, M.T. Abu OsmanProblem statement: It is well known that, the standard approach to estimating a sample selection models shows an inconsistent estimation results if the distributional assumption are incorrect. Approach: An important progress in the last decade to develop an alternative to overcome the deficiency is through the used of semi-parametric method. However, the usage of semi-parametric approach still does not cover … …American Journal of Applied Sciences, Vol. 6, Issue 10 · 31 Oct 2009 · 6,764 accessesView PDFCite
Research ArticleOpen accessIn the keywordsFeature Selection for High Dimensional Data: An Evolutionary Filter ApproachAnwar Ali Yahya, Addin Osman, Abd Rahman Ramli, Adlan BalolaProblem statement: Feature selection is a task of crucial importance for the application of machine learning in various domains. In addition, the recent increase of data dimensionality poses a severe challenge to many existing feature selection approaches with respect to efficiency and effectiveness. As an example, genetic algorithm is an effective search algorithm that lends itself directly to feature selection; … …Journal of Computer Science, Vol. 7, Issue 5 · 9 May 2011 · 7,946 accessesView PDFCite
Research ArticleOpen accessIn the keywordsUnivariate Generalized Additive Models for Simulated Stationary and Non-Stationary Generalized Pareto DistributionMostafa Behzadi, Mohd Bakri Adam, Anwar FitriantoGeneralized additive models as a predictor in regression approaches, are made up over cubic spline basis and penalized regression splines. Despite of linear predictor in GLM, generalized additive models use a sum of smooth functions of covariates as a predictor. The data which are used in this study have generalized Pareto distribution and have been simulated by inversion method. The … …Journal of Mathematics and Statistics, Vol. 13, Issue 2 · 3 Jun 2017 · 7,430 accessesView PDFCite
Research ArticleOpen accessIn the keywordsIntelligent Semantic Universal Search in Mobile PlatformJinhyung Kim, Myunggwon Hwang, Hanmin Jung, Doheon JungProblem statement: As the performance of mobile devices is getting higher, a large quantity of information is stored and managed in mobile devices. Therefore, the precise and intelligent universal search becomes the most important issue in the smart mobile platform. Conclusion/Reommendation: In this study, we suggest the semantic universal search in smart mobile platform facilitated by the ontology; ontology modeling, … …Journal of Computer Science, Vol. 8, Issue 5 · 9 Mar 2012 · 6,753 accessesView PDFCite
Research NotesOpen accessIn the keywordsNew Bivariate Wrapped DistributionsS. Nadarajah, Y. ZhangThere are not many models for bivariate directional data. Here, we introduce more than ten new bivariate wrapped distributions. For each distribution, expressions are given for the means, covariances and five correlation coefficients. …Journal of Mathematics and Statistics, Vol. 12, Issue 4 · 24 Nov 2016 · 7,005 accessesView PDFCite