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  1. 1
    A study on solution of matrix riccati differential equations using ant colony programming and simulink / Mohd Zahurin Mohamed Kamali

    A study on solution of matrix riccati differential equations using ant colony programming and simulink / Mohd Zahurin Mohamed Kamali by Mohamed Kamali, Mohd Zahurin

    Published 2015
    “…It has been found that by implementing the ACP algorithm, the solution predicted is approximately close or similar to the exact solution. …”
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  2. 2
    Block multistep methods for solving first order retarded and neutral delay differential equations

    Block multistep methods for solving first order retarded and neutral delay differential equations by Abdul Aziz, Nurul Huda

    Published 2015
    “…The proposed methods have shown to have a convergence when the numerical solution approaches to the exact solution as the step size h tends to zero. …”
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  3. 3
    A Wavelet-Based Approach For The Analytical Solutions Of Fractional Differential Equations And The Numerical Solutions Of Fractional Integral Equations

    A Wavelet-Based Approach For The Analytical Solutions Of Fractional Differential Equations And The Numerical Solutions Of Fractional Integral Equations by Loong, Marcus Ong Wei

    Published 2024
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  4. 4
    New algorithms for numerical solution of nonlinear integro-differential equations of third order using haar wavelets

    New algorithms for numerical solution of nonlinear integro-differential equations of third order using haar wavelets by Fayyaz , M., Azram, Mohammad

    Published 2013
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  5. 5
    RSA Encryption & Decryption using JAVA

    RSA Encryption & Decryption using JAVA by Ramli, Marliyana

    Published 2006
    “…References and theories to support the research of 'RSA Encryption/Decryption using Java' have been disclosed in Literature Review section. …”
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  6. 6
    Feedforward neural network for solving particular fractional differential equations

    Feedforward neural network for solving particular fractional differential equations by Admon, Mohd Rashid

    Published 2024
    “…This study also focuses on solving fractal-fractional differential equations in the Caputo sense with a power-law kernel (FFDEsCP) using FNN in two hidden layers with a vectorized algorithm alongside Adam (FNN2HLVA-Adam). …”
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  7. 7
    Application Of Higher Order Compact Finite Difference Methods To Problems In Fluid Dynamics

    Application Of Higher Order Compact Finite Difference Methods To Problems In Fluid Dynamics by Yap, Wen Jiun

    Published 2003
    “…In Lax-Wendroff approach, the governing differential equations are used to approximate the leading truncation error in the second-order central difference of the governing equations. …”
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  8. 8
    Wavelet neural networks based solutions for elliptic partial differential equations with improved butterfly optimization algorithm training

    Wavelet neural networks based solutions for elliptic partial differential equations with improved butterfly optimization algorithm training by Lee, Sen Tan, Zainuddin, Zarita, Ong, Pauline

    Published 2020
    “…In this study, a machine learning approach based on the unsupervised version of wavelet neural networks (WNNs) is used to solve two-dimensional elliptic partial differential equations (PDEs). …”
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  9. 9
    Plagiarism Detection System for Java Programming Assignments by Using Greedy String-Tilling Algorithm

    Plagiarism Detection System for Java Programming Assignments by Using Greedy String-Tilling Algorithm by Norulazmi, Kasim

    Published 2008
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  10. 10
    Provider independent cryptographic tools

    Provider independent cryptographic tools by Ibrahim, Subariah, Salleh, Mazleena, Abdul Aziz, Shah Rizan

    Published 2003
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  11. 11
    Relative motion and autonomous rendezvous in Keplerian elliptic orbits

    Relative motion and autonomous rendezvous in Keplerian elliptic orbits by Okasha, Mohamed Elsayed Aly Abd Elaziz, Newman, Brett

    Published 2010
    “…Autonomous guidance algorithms to approach, to flyaround, and to depart from a target vehicle in elliptic orbits are exploited based on that solution. …”
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  12. 12
    Shooting method with root finding to solve boundary value problems / Aryani Rima Matakim

    Shooting method with root finding to solve boundary value problems / Aryani Rima Matakim by Matakim, Aryani Rima

    Published 2025
    “…Root-finding algorithms are important in this process since they help to solve the nonlinear equations that result from the mismatch between the computed and desired boundary conditions. …”
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  13. 13
    Ball surface representations using partial differential equations

    Ball surface representations using partial differential equations by Kherd, Ahmad Saleh Abdullah

    Published 2015
    “…Over two decades ago, geometric modelling using partial differential equations (PDEs) approach was widely studied in Computer Aided Geometric Design (CAGD). …”
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  14. 14
    Guidance, navigation and control for satellite proximity operations using Tschauner-Hempel equations

    Guidance, navigation and control for satellite proximity operations using Tschauner-Hempel equations by Okasha, Mohamed Elsayed Aly Abd Elaziz, Newman, Brett

    Published 2011
    “…These algorithms are based on using the analytical closed-form solution of the Tschauner-Hempel equations that is completely explicit in time. …”
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  15. 15
    Guidance, navigation and control for satellite proximity operations using Tschauner-Hempel equations

    Guidance, navigation and control for satellite proximity operations using Tschauner-Hempel equations by Okasha, Mohamed Elsayed Aly Abd Elaziz, Newman, Brett

    Published 2014
    “…These algorithms are based on using the analytical closed-form solution of the Tschauner-Hempel equations that is completely explicit in time. …”
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  16. 16
    Numerical approach for delay volterra integro-differential equation

    Numerical approach for delay volterra integro-differential equation by Nur Auni Baharum, Zanariah Abdul Majid, Norazak Senu, Haliza Rosali

    Published 2022
    “…The predictor formulae are explicit, while the corrector formulae are implicit. The algorithm for the approximate solutions were constructed and analyzed using the 2PBM method with Newton-Cotes quadrature rules. …”
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  17. 17
    Numerical approach for delay Volterra integro-differential equation

    Numerical approach for delay Volterra integro-differential equation by Baharum, Nur Auni, Abdul Majid, Zanariah, Senu, Norazak, Rosali, Haliza

    Published 2022
    “…The predictor formulae are explicit, while the corrector formulae are implicit. The algorithm for the approximate solutions were constructed and analyzed using the 2PBM method with Newton-Cotes quadrature rules. …”
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  18. 18
    Adaptive hybrid reduced differential transform method in solving nonlinear schrodinger equations

    Adaptive hybrid reduced differential transform method in solving nonlinear schrodinger equations by Abdul Rahman Farhan Sabdin, Che Haziqah Che Hussin, Jumat Sulaiman, Arif Mandangan, Essam Roshdy El-Zahar

    Published 2025
    “…In this paper, piecewise-analytical and numerical solutions are obtained by a new adapted approach named the Adaptive Hybrid Reduced Differential Transform Method (AHRDTM). …”
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  19. 19
    An effective wavelet neural network approach for solving first and second order ordinary differential equations

    An effective wavelet neural network approach for solving first and second order ordinary differential equations by Lee Sen Tan, Lee Sen Tan, Zainuddin, Zarita, Pauline Ong, Pauline Ong, Abdullah, Farah Aini A

    Published 2024
    “…While various artificial neural networks (ANNs) approaches have recently emerged as potential solutions for approximating ODEs, the limited accuracy of existing models necessitates further advancements. …”
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  20. 20
    Genetic algorithm techniques for the design of nonlinear microwave circuits

    Genetic algorithm techniques for the design of nonlinear microwave circuits by Arsat, Rashidah

    Published 2004
    “…Genetic Algorithm will then recombine, mutate and evaluate the population of solution to find the best solution based on Sample balance equation. …”
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