Search Results - (( java implementation learning algorithm ) OR ( using mode using algorithm ))
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1
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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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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Enhancing performance of XTS cryptography mode of operation using parallel design
Published 2009“…In addition, the parallel XTS mode was also simulated using Twofish and RC6 encryption algorithms. …”
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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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7
A parallel XTS encryption mode of operation
Published 2009“…It is known that the most efficient techniques to protect storage devices are using cryptography. Developing newer and more secure encryption algorithms and modes of operation might be critically important to protect these devices since conventional disk encryption algorithms, such as CBC mode, have shown serious security flaws. …”
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Power prediction mode technique for Hill Climbing Search algorithm to reach the maximum power point tracking
Published 2021“…The proposed algorithm used two main techniques; the first one is power prediction mode and the second one is the two-mode HCS algorithm. …”
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Proceeding Paper -
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Implementation of a parallel XTS encryption mode of operation
Published 2014“…It is known that the most efficient techniques to protect storage devices are using cryptography. Developing newer and more secure encryption algorithms and modes of operation might be critically important to protect these devices since conventional disk encryption algorithms, such as CBC mode, have shown serious security flaws. …”
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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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11
Partitional clustering algorithms for highly similar and sparseness y-short tandem repeat data / Ali Seman
Published 2013“…For the overall performances which were based on the six data sets, the &-AMH algorithm recorded the highest mean accuracy scores of 0.93 as compared to the other algorithms: the ^-Population (0.91), the &-Modes-RVF (0.81), the New Fuzzy &-Modes (0.80), A:-Modes (0.76), &-Modes-HI (0.76), £-Modes- HII (0.75), Fuzzy £-Modes (0.74) and £-Modes-UAVM (0.70). …”
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12
Position control of robot manipulator: Design a novel SISO adaptive sliding mode fuzzy PD fuzzy sliding mode control.
Published 2011“…This research focuses on design Single Input Single Output (SISO) adaptive sliding mode fuzzy PD fuzzy sliding mode algorithm with estimates the equivalent part derived in the Lyapunov sense. …”
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13
Simulation of elliptical core few mode fiber switch in mode division multiplexing for enhancing bandwidth performance
Published 2023“…This switching mechanism uses an elimination algorithm which removes unwanted modes leaving behind the ones with optimum power to propagate data. …”
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14
Segmentation of Malay syllables in connected digit speech using statistical approach
Published 2008“…Segmentation was done in time domain signal using statistical approaches namely the Brandt’s Generalized Likelihood Ratio (GLR) algorithm and Divergence algorithm. …”
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Time Synchronization Using Distributed Observer Algorithm With Sliding Mode Control For Wireless Sensor Network
Published 2015“…The algorithm is known as Time Synchronization using Distributed Observer algorithm with Sliding mode control element (TSDOS).The main purpose of proposing TSDOS is to estimate a common global clock time by which all nodes within the WSN can use it for communication purpose. …”
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Implementation of CORDIC Algorithm in vectoring mode / Anis Shahida Mokhtar and Abdullah Mohd Fadzullah
Published 2015“…In this paper, vectoring mode of CORDIC algorithm was implemented. The algorithm was developed using Verilog HDL in Quartus II software and the results obtained were compared with actual values of the CORDIC algorithm. …”
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18
Testing and validation of a Β; algorithm for cubesat satellites
Published 2016“…For most satellite missions, it is essential to decrease the satellite angular velocity. The Β algorithm is a common algorithm to stabilize the spacecraft by using magnetorquers. …”
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Fast mode decision algorithm
Published 2011“…Fast mode decision is the developed algorithm intended for selectively choosing the mode decision used by the encoder. …”
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Book Chapter -
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Channel impulse response equalization based on genetic algorithm in mode division multiplexing
Published 2018“…This paper proposed to use genetic algorithm (GA) as an adaptive algorithm for mode division multiplexing (MDM) equalization in order to minimize the mean square error as well as to maximize the similarity between the ideal signal and the MDM distorted signal. …”
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