Search Results - (( web application ((means algorithm) OR (bees algorithm)) ) OR ( _ selection based algorithm ))
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Task scheduling in cloud computing environment using hybrid genetic algorithm and artificial bee colony
Published 2022“…In this project, a comparative evaluation of selected algorithms is done to ascertain their applicability, practicality, and adaptability in a cloud scenario. …”
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Academic Exercise -
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Use of web page credibility information in increasing the accuracy of web-based question answering systems / Asad Ali Shah
Published 2017“…This research proposes a credibility assessment algorithm for evaluating Web pages and using their credibility score for ranking answers in Web-based QA systems. …”
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Thesis -
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A review energy-efficient task scheduling algorithms in cloud computing
Published 2023Conference Paper -
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Clustering-based cloud migration strategies
Published 2018“…The k-means algorithm of the partitioning clustering method is used to analyze cloud migration strategies in this study. …”
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Clustering-based cloud migration strategies
Published 2018“…The k-means algorithm of the partitioning clustering method is used to analyze cloud migration strategies in this study. …”
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Stock indicator scanner customization tool using deep reinforcement learning
Published 2022“…This project will deliver a web application with dynamic stock prediction model based on deep reinforcement learning or more particularly, Deep Q-Network (DQN) algorithm which enable input customization. …”
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Final Year Project / Dissertation / Thesis -
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A web-based implementation of k-means algorithms
Published 2022“…The K-means algorithm has been around for over a century. …”
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Final Year Project / Dissertation / Thesis -
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Mobile tour guide application with attraction recognition for UTAR Kampar campus
Published 2021“…The app can accurately identify the buildings using a model trained by a machine learning algorithm, and GPS information to increase the accuracy. …”
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Final Year Project / Dissertation / Thesis -
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Dynamic feature selection model for adaptive cross site scripting attack detection using developed multi-agent deep Q learning model
Published 2023“…Thus, this study attempts to fill the gap by proposing a feature drift-aware algorithm for detecting the evolved XSS attacks. The proposed approach is a dynamic feature selection based on a deep Q-network multi-agent feature selection (DQN-MAFS) framework. …”
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A modified π rough k-means algorithm for web page recommendation system
Published 2018“…Web page recommendation system is an application of Web Usage Mining (WUM) approach, which specializes in predicting the user next browsing activity in real-time Web for personalized recommendations. …”
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Thesis -
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Customer sentiment analysis through social media feedback
Published 2022“…Lasty, the performance of each model was compared to select the most accurate model and from the analysis, it can be concluded that Support Vector Machine gives the best performance in terms of accuracy, mean squared error, root mean squared error and area under ROC curve. …”
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Undergraduates Project Papers -
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A Hybrid Approach For Web Search Result Clustering Based On Genetic Algorithm With K-means
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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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Thesis -
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Web-based clustering tool using fuzzy k-mean algorithm / Ahmad Zuladzlan Zulkifly
Published 2019“…This project will use fuzzy k-means clustering algorithm to cluster the data because it is easy to implement and have many advantages. …”
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A phonetically rich and balanced lexical corpus using zipfian distribution for an under resourced language / Aminath Farshana
Published 2018“…The importance of speech technology-based applications has prompted researchers to improve the techniques of these applications for many languages around the world. …”
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Thesis -
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Big Data Mining Using K-Means and DBSCAN Clustering Techniques
Published 2022“…The density-based spatial clustering of applications with noise (DBSCAN) and the K-means algorithm were used to develop clustering algorithms. …”
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Task scheduling in cloud computing environment using hybrid genetic algorithm and bat algorithm
Published 2022“…Furthermore, CloudSim simulator will be used to evaluate the performance of this algorithm. The result of the algorithm performance will be appeared in web application system. …”
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