Search Results - (( web applications _ algorithm ) OR ( ((some application) OR (model application)) use algorithm ))
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Web application vulnerabilities detection model
Published 2016“…As the use of the web is increasing, the use of web application is also increasing. …”
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Research Reports -
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Web-based clustering tool using fuzzy k-mean algorithm / Ahmad Zuladzlan Zulkifly
Published 2019“…This project is developed by using Rapid Application Development methodology as it is the model that is most suitable for developing this web tools. …”
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Intelligent Web caching using neurocomputing and particle swarm optimization algorithm
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Fake news detection: A machine learning approach
Published 2021“…Finally, a web application was developed to deploy the trained model. …”
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Final Year Project / Dissertation / Thesis -
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DESIGN AND EVALUATION OF RESOURCE ALLOCATION AND JOB SCHEDULING ALGORITHMS ON COMPUTATIONAL GRIDS
Published 2012“…Thus, overall aim of this research is to introduce new grid scheduling algorithms for resource allocation as well as for job scheduling for enabling a highly efficient and effective utilization of the resources in executing various applications. …”
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Cyberbullying detection: a machine learning approach
Published 2022“…Machine learning is a hot topic and it is widely implemented in software, web application and more. Those algorithms are used in the classification or regression model to predict an input. …”
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Final Year Project / Dissertation / Thesis -
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Stock indicator scanner customization tool using deep reinforcement learning
Published 2022“…Nowadays, there have some applications provide predictive model for user to predict the stock trend, however user cannot customize the type of input data used in the predictive models. …”
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Final Year Project / Dissertation / Thesis -
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Web based clustering tool using K-MEAN++ algorithm / Muhammad Nur Syazwanie Aznan
Published 2019“…Which is why this project objective is to develop a web based clustering tool using K-MEAN++ algorithm. …”
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Cryptanalytic attacks on Rivest, Shamir, and Adleman (RSA) cryptosystem: issues and challenges
Published 2014“…Generally RSA algorithm gain a security support because of it’s frequently use in most applications where security of digital data is mostly a concern. …”
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Efficient prime-based method for interactive mining of frequent patterns.
Published 2011“…This is because the appropriate value depends on the type of application and expectation of the user. Moreover, in some real-time applications such as web mining and e-business, finding new correlations between patterns by changing the minimum support threshold is needed. …”
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Car dealership web application
Published 2022“…The used car dealership web application was implemented with ASP.NET Core. …”
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Final Year Project / Dissertation / Thesis -
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The Performance of Chlorophyll-a Distribution Estimation by Using Ratio Algorithm on Landsat-8 in Sungai Merbok Estuary / Jesse Vince Rabing ... [et al.]
Published 2022“…This study explores the applicability of ratio algorithms for estimation of the chl- a concentration at Sungai Merbok by assessing chl-a distribution pattern built by the algorithms and evaluating each algorithm for their errors compared to in-situ data. …”
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A web usage mining approach based on LCS algorithm in online predicting recommendation systems
Published 2008“…Online prediction is one Web Usage Mining application. However, the accuracy of the prediction and classification in the current architecture of predicting users' future requests systems can not still satisfy users especially in huge Web sites. …”
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Dynamic modeling by usage data for personalization systems
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Metocean Prediction using Hadoop, Spark & R
Published 2019“…The new system will be a single page reactive web application with shiny web UI containing forecasting model, ARIMA developed with R for the variables of Metocean data stored in Hadoop and spark is integrated to make the computations happen in-memory. …”
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Final Year Project -
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An improved framework for content and link-based web spam detection: a combined approach
Published 2021“…The content-based web spam detection framework uses three proposed and two improved content-based algorithms for web spam detection. …”
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Combination of GREEN and SHRed AQM for short-lived traffic
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