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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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Thesis -
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Numerical algorithm of block method for general second order ODEs using variable step size
Published 2017“…This paper outlines an alternative algorithm for solving general second order ordinary differential equations (ODEs). …”
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Article -
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Approximating Non Linear Higher Order ODEs By A Three Point Block Algorithm
Published 2024journal::journal article -
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Two-point block backward differentiation formula for solving higher order ordinary differential equations
Published 2011“…Finally, this thesis zooms into the implementation of the BBDF method using the variable order algorithm for the solution of second order stiff ODEs directly. …”
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Numerical algorithm of block method for general second order ODEs using variable step size
Published 2017“…This paper outlines an alternative algorithm for solving general second order ordinary differential equations (ODEs). …”
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Article -
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ODEcal: ordinary differential equation calculator by using MATLAB-GUI
Published 2023“…It is a standalone application developed using MATLAB App Designer to solve initial value problems of Differential Equations (ODEs) numerically. …”
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Book Section -
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Parallel block methods for solving higher order ordinary differential equations directly
Published 1999“…The accuracy of the parallel block and 1-point methods is comparable particularly when finer step sizes are used. A new parallel algorithm for solving systems of ODEs using variable step size and order is also developed. …”
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Variable order step size algorithm for solving second order ODEs
Published 2019“…Both linear and nonlinear second order ODEs will used to validate the accuracy and efficiency of the proposed method.…”
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Book Section -
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Multivalue-multistage method for second-order ODEs
Published 2016“…In this paper the method of order three using constant step-size algorithm is derived. The stability region of method is also proposed.…”
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12
Parallel Block Methods for Solving Ordinary Differential Equations
Published 2004“…Subsequently, a more structured and efficient algorithm comprising the block methods was constructed for solving systems of first order ODEs using variable step size and order. …”
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13
Route Optimization System
Published 2005“…After much research into the many algorithms available, and considering some, including Genetic Algorithm (GA), the author selected Dijkstra's Algorithm (DA). …”
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Solving Boundary Value Problems for Ordinary Differential Equations Using Direct Integration and Shooting Techniques
Published 1999“…In this thesis, an efficient algorithm and a code BVPDI is developed for solving Boundary Value Problems (BVPs) for Ordinary Differential Equations (ODEs). …”
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16
Design and Implementation of Data-at-Rest Encryption for Hadoop
Published 2017“…It is shown that the implementation of AES encryption algorithm is capable to secure data stored in HDFS to some extent.…”
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17
Design and Implementation of Data-at-Rest Encryption for Hadoop
Published 2017“…It is shown that the implementation of AES encryption algorithm is capable to secure data stored in HDFS to some extent.…”
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Block Multistep Methods for Solving Ordinary Differential Equations
Published 2006“…In conclusion, the numerical results clearly demonstrates the efficiency of using the new block multistep methods for solving ODEs. …”
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Thesis -
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Block backward differentiation alpha-formulas for solving stiff ordinary differential equations
Published 2017“…In conclusion, the derived methods can be used as viable alternative solver for stiff ODEs and real-life problem.…”
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20
Optimization of chemotherapy using metaheuristic optimization algorithms / Prakas Gopal Samy
Published 2024“…The study harnesses MATLAB's ode45 solver, tailored for solving ODE. Utilizing robust Runge-Kutta methods, the solver adeptly navigates the complexities of the ODE model, particularly useful when analytical solutions are challenging to obtain. …”
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