Search Results - (( developing equation modified algorithm ) OR ( java implementation learning 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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2
Predictor-corrector scheme in modified block method for solving delay differential equations with constant lag
Published 2014“…In this developed algorithm, each coefficient in the predictor and corrector formula are recalculated when the step size changing. …”
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3
Predictor-corrector scheme in modified block method for solving delay differential equations with constant lag
Published 2014“…In this developed algorithm, each coefficient in the predictor and corrector formula are recalculated when the step size changing. …”
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4
New Quasi-Newton Equation And Method Via Higher Order Tensor Models
Published 2010“…The efficiency of the usual QN methods is improved by accelerating the performance of the algorithms without causing more storage demand. The presented equation allows the modification of several algorithms involving QN equations for practical optimization that possess superior convergence prop- erty. …”
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5
An Efficient Computational Algorithm for Solving Arbitrary Sylvester Matrix Equations in Fuzzy Control Theory (S/O 14179)
Published 2021“…By modifying the existing fuzzy arithmetic operators, the constructed algorithm exceeds the positive restriction to allow the negative and near-zero LR-TFN as the coefficients of the equations. …”
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6
Standard equations for predicting the discharge coefficient of a modified high-performance side weir
Published 2017“…In practical situations, it is preferred to predict the discharge coefficient with simple equations. The goal of this study is to develop accurate standard equations for use in predicting the discharge coefficient of a high-performance, modified triangular side weir. …”
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7
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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8
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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9
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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10
Block backward differentiation formulas for solving first and second order fuzzy differential equations
Published 2016“…The algorithm of existing BBDF was modified into fuzzy version. …”
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11
Memoryless modified symmetric rank-one method for large-scale unconstrained optimization
Published 2009“…Computational results, for a test set consisting of 73 unconstrained optimization problems, show that the proposed algorithm is very encouraging. Conclusion/Recommendations: In this study a memoryless QN method developed for solving large-scale unconstrained optimization problems, in which the SR1 update based on the modified QN equation have applied. …”
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12
Parallel Implementation of Two Level Barotropic Models Applied to the Weather Prediction Problem
Published 2004“…By using finite difference approximation, quasigeostrophic vorticity equations and thermodynamic equations are used to develop forecasting equations for each level. …”
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13
Structural Equation Modeling Algorithm and Its Application in Business Analytics
Published 2017“…Novelty of this article is in modified steps of SEM application in modeling strategies, also in its developed practical comprehensive SEM application flowchart This article is a roadmap for business advisors and those scholars trying to compute SEM for their decision making, complex modeling and data analysis programming, …”
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Book Chapter -
14
Modified multi verse optimizer for solving optimization problems using benchmark functions
Published 2020“…The hybrid version of multi-verse optimizer (MVO) namely the modified multi-verse optimizer (mMVO) is developed in this paper by modifying the position updating equation of MVO. …”
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15
Stochastic And Modified Sequent Peak Algorithm For Reservoir Planning Analysis Considering Performance Indices
Published 2016“…In the next stage, the modified Sequent Peak Algorithm (SPA) is employed for the Storage-yield planning analysis of reservoir systems at different demands, reliability and vulnerability performance metrics employing the synthetic streamflow data. …”
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16
Reconstructing applicable chaotic Baptista-type symmetric cryptosystem
Published 2014“…We then designed a new compression algorithm developed using ideas from the Huffman coding. …”
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17
Modified multi-verse optimizer for solving numerical optimization problems
Published 2020“…The hybrid version of a multi-verse optimizer (MVO) namely the modified multi-verse optimizer (mMVO) is developed in this paper by modifying the position updating equation of MVO. …”
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18
One-step block methods for solving ordinary and delay differential equations
Published 2011“…A new modified algorithm from the existing program for solving ODEs was developed. …”
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19
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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20
Field data-based mathematical modeling by Bode equations and vector fitting algorithm for renewable energy applications
Published 2018“…This paper proposes a new modified methodology presented as a parametric technique to determine the system’s modeling equations based on the Bode plot equations and the vector fitting (VF) algorithm by fitting the experimental data points. …”
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