Search Results - (( java implementation learning algorithm ) OR ( based computing best algorithm ))
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Adoption of machine learning algorithm for analysing supporters and non supporters feedback on political posts / Ogunfolajin Maruff Tunde
Published 2022“…The method was implemented using Java and the results of the simulation were evaluated using five standard performance metrics: accuracy, AUC, precision, recall, and f-Measure. …”
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Plagiarism Detection System for Java Programming Assignments by Using Greedy String-Tilling Algorithm
Published 2008“…The prototype system, known as Java Plagiarism Detection System (JPDS) implements the Greedy-String-Tiling algorithm to detect similarities among tokens in a Java source code files. …”
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An Educational Tool Aimed at Learning Metaheuristics
Published 2020“…Implemented with Java, this tool provides a friendly GUI for setting the parameters and display the result from where the learner can see how the selected algorithm converges for a particular problem solution. …”
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A Feature Ranking Algorithm in Pragmatic Quality Factor Model for Software Quality Assessment
Published 2013“…The methodology used consists of theoretical study, design of formal framework on intelligent software quality, identification of Feature Ranking Technique (FRT), construction and evaluation of FRA algorithm. The assessment of quality attributes has been improved using FRA algorithm enriched with a formula to calculate the priority of attributes and followed by learning adaptation through Java Library for Multi Label Learning (MULAN) application. …”
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The shortest route of the potential companies for internship using Dijkstra’s Algorithm / Mohamad Khairul Ikhwan Mohd Radzi
Published 2017“…Base on listed companies, the student can choose the best company for them to make the internship. …”
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Probability based fast inter mode decision algorithm for H.264/AVC
Published 2016“…In this paper, a new probability based fast inter mode decision algorithm is proposed for H.264/AVC video standard. …”
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Flowshop scheduling using artificial bee colony (ABC) algorithm with varying onlooker bees approaches
Published 2015“…At high iterations of 204 and above, method 3+0+0 dominates the best performance. Based on this finding, the selection of the best method can be decided based on the iteration time available. …”
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A comparative analysis of task scheduling algorithms of virtual machines in cloud environment
Published 2023“…Based on the analysis of the simulation result, we can conclude which algorithm is the best for scheduling in terms of energy and performance of VMs. …”
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Comprehensive power restoration approach using rule-based method for 11kV distribution network
Published 2023“…This paper presents a restoration algorithm based on a Rule-Based approach. The algorithm is computationally programmed to provide multiple solutions and to recommend the best option of switching for a dispatcher. …”
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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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The use of people rank technique for data dissemination in opportunistic network
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Final Year Project Report / IMRAD -
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Optimizing BOINC scheduling using genetic algorithm based on thermal profile
Published 2014“…We use genetic algorithm to find the best combination of clients and jobs based on clients order and least execution time. …”
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Task scheduling on computational grids using Gravitational Search Algorithm
Published 2014“…In this paper, Gravitational Search Algorithm (GSA), as one of the latest population-based metaheuristic algorithms, is used for task scheduling on computational Grids. …”
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An enhanced ant colony system algorithm for dynamic fault tolerance in grid computing
Published 2020“…Experimental results showed that the proposed algorithm achieved the best performance in most aspects, and second best in terms of load balancing. …”
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Performance Comparison of Parallel Bees Algorithm on Rosenbrock Function
Published 2012“…It is a series of activities based on the searching algorithm in order to access the best solutions. …”
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A hyper-heuristic based strategy for image segmentation using multilevel thresholding
Published 2025“…To address these issues, this work proposes a novel multilevel thresholding strategy using Exponential Monte Carlo with Counter (EMCQ) hyper-heuristic for the segmentation of Computed Tomography (CT) chest images. EMCQ uses four low-level heuristic sets adopted from the teaching learning-based optimisation (TLBO) algorithm, flower pollination algorithm (FPA), genetic algorithm (GA), and Jaya algorithm. …”
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Multi-base number representation in application to scalar multiplication and pairing computation
Published 2011“…These algorithms are formulated for computing Tate and ate pairing. …”
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