Search Results - (( developing implementation level algorithm ) OR ( java implementation learning algorithm ))
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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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2
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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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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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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Implementation of (AES) Advanced Encryption Standard algorithm in communication application
Published 2014“…The aim of the thesis is to provide an overview of the ABS encryptiOn algorithm, to develop a prototype that is implemented for communication purpose, and to test the developed prototype in terms of accuracy purpose. …”
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Undergraduates Project Papers -
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IMPLEMENTATION OF IMAGE TEXTURE ANALYSIS USING GRAY LEVEL RUN LENGTH APPROACH
Published 2006“…The objective of this project is to develop algorithms inMATLAB and be able to implement image texture analysis by using the developed algorithms. …”
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Final Year Project -
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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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Low-level hybridization scripting language with dynamic parameterization in PSO-GA / Suraya Masrom
Published 2015“…The scripting language is designed and developed based on the algorithm structure that is defined in the proposed implementation frameworks with the dynamic parameterization. …”
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9
Features selection for intrusion detection system using hybridize PSO-SVM
Published 2016“…Hybridize Particle Swarm Optimization (PSO) as a searching algorithm and support vector machine (SVM) as a classifier had been implemented to cope with this problem. …”
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10
Process Planning Optimization In Reconfigurable Manufacturing Systems
Published 2008“…On the other hand, the superior performance of the genetic algorithm that implements an extended diversity control mechanism demonstrates that more competent genetic algorithms can be designed through customized operators. …”
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Low-level hybridization scripting language with dynamic parameterization in PSO-GA / Suraya Masrom
Published 2015“…However, in many cases, implementing the suitable hybrid algorithms for a given optimization problem is a considerably difficult, which in most cases, is time consuming. …”
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Book Section -
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Implementation of locust inspired scheduling algorithm with huge number of servers for energy efficiency in a cloud datacenter
Published 2019“…It does not consider the LACE algorithm implemented in huge number of server in one Cloud datacenter. …”
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13
Parallel Implementation of Two Level Barotropic Models Applied to the Weather Prediction Problem
Published 2004“…To process the data collected from British Atmospheric Data Centre (BADC), the sequential programs in row and columnwise fashions are developed and implemented. Then the parallel algorithms are constructed and run using the Beowulf Cluster machine. …”
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14
A simplified synchronous reference frame for indirect current controlled three-level inverter-based shunt active power filters
Published 2016“…The proposed algorithm is developed and evaluated in MATLAB/Simulink. …”
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Article -
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Implementation of High Speed Large Integer Multiplication Algorithm on Contemporary Architecture
Published 2018“…Hence, other contemporary processor architectures such as GPU and FPGA have become popular alternative to speed up the computation in recent years.This dissertation first discusses several existing large integer multiplication algorithms and reviews different methods used to implement thediscussed algorithms done by other researchers in both Graphic Processing Unit (GPU) and Field Programmable Gate Array (FPGA).Compared to GPU, FPGA offered more low level design and development to the implementation. …”
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Final Year Project / Dissertation / Thesis -
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Non-invasive gliomas grading using swarm intelligence algorithm / Muhammad Harith Ramli
Published 2017“…There are five general steps implemented to develop the prototype. From the testing conducted, it shows that Bat algorithm produced moderate performance towards gliomas grading and segmentation. …”
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Talkout : Protecting mental health application with a lightweight message encryption
Published 2022“…The investigation of lightweight message encryption algorithms is conducted with systematic quantitative literature and experiment implementation in Java and Android running environment. …”
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Academic Exercise -
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Three-phase three-level shunt active power filter with simplified synchronous reference frame
Published 2016“…The proposed algorithm is developed and evaluated in MATLAB / Simulink. …”
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Conference or Workshop Item -
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Conjunctions in biological neural architectures for visual pose estimation / Tom´As Maul
Published 2006“…At the algorithmic level, several approaches for solving the pose estimation problem are compared in terms of their neural implementability. …”
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