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  1. 1

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

    Published 2003
    “…The numerical algorithms are first developed for viscous Burgers' equation on uniform and clustered grids. …”
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    Thesis
  2. 2

    Fuzzy modeling using Bat Algorithm optimization for classification by Noor Amidah, Ahmad Sultan

    Published 2018
    “…A Sazonov Engine which is a fuzzy java engine is use to apply Bat Algorithm in the experiment. …”
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    Undergraduates Project Papers
  3. 3

    Attribute reduction based scheduling algorithm with enhanced hybrid genetic algorithm and particle swarm optimization for optimal device selection by Nwogbaga, Nweso Emmanuel, Latip, Rohaya, Affendey, Lilly Suriani, Abdul Rahiman, Amir Rizaan

    Published 2022
    “…Therefore, in this paper, we proposed Dynamic tasks scheduling algorithm based on attribute reduction with an enhanced hybrid Genetic Algorithm and Particle Swarm Optimization for optimal device selection. …”
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    Article
  4. 4

    An AUSM-based high-order compact method for solving Navier-Stokes equations by Mawlood M.K., Basri S.N., Asrar W., Omar A.A., Mokhtar A.S., Ahmad M.M.H.M.

    Published 2023
    “…A high-order compact upwind algorithm is developed for solving Navier-Stokes equations in two-space dimensions. …”
    Article
  5. 5

    Hybrid one-step block fourth derivative method for the direct solution of third order initial value problems of ordinary differential equations by Alkasassbeh, Mohammad, Omar, Zurni

    Published 2018
    “…An efficient one step block method with generalized two-point-hybrid is developed for solving initial value problems of third order ordinary differential equations directly. …”
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    Article
  6. 6

    Simulated Kalman Filter algorithms for solving optimization problems by Nor Hidayati, Abdul Aziz

    Published 2019
    “…Its optimality has inspired the development of a metaheuristic algorithm called Heuristic Kalman Algorithm (HKA) in 2009. …”
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    Thesis
  7. 7

    A random search based effective algorithm for pairwise test data generation by Sabira, Khatun, K. F., Rabbi, Che Yahaya, Yaakub, Klaib, Mohammad F. J.

    Published 2011
    “…This paper proposes an effective random search based pairwise test data generation algorithm named R2Way to optimize the number of test cases. …”
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    Conference or Workshop Item
  8. 8

    New random approaches of modified adaptive bats sonar algorithm for reservoir operation optimization problems by Nor Shuhada, Ibrahim

    Published 2024
    “…In the fourth phase, the newly developed algorithm undergoes testing on the formulated ROOPs and compared to several contemporary optimizer algorithms. …”
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    Thesis
  9. 9

    Simulation of vibrating string by Loo, Twan Guan, Choy, Kam Heng

    Published 2001
    “…Thus, the fourth step is to implement the algorithm on a computer. …”
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    Final Year Project Report / IMRAD
  10. 10

    New Quasi-Newton Equation And Method Via Higher Order Tensor Models by Gholilou, Fahimeh Biglari

    Published 2010
    “…Moreover, a new limited memory QN method to solve large scale unconstrained optimization is developed based on the modified BFGS updated formula. …”
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    Thesis
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    EasyA: Easy and effective way to generate pairwise test data by Rabbi, Khandakar Fazley, Sabira, Khatun, Che Yahaya, Yaakub, Klaib, Mohammad F. J.

    Published 2013
    “…This paper proposes a matrix based calculation for pairwise test data generation algorithm named EasyA to optimize the number of test cases. …”
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    Conference or Workshop Item
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    An improvement of BFGS by applying n-th section method for solving unconstrained optimization / Nurul Atikah Mohamed Ramli by Mohamed Ramli, Nurul Atikah

    Published 2019
    “…Optimization is one of mathematics field that greatly developed when Quasi-newton method was presented to solve the unconstrained optimization problem. …”
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    Thesis
  15. 15

    An ensemble learning method for spam email detection system based on metaheuristic algorithms by Behjat, Amir Rajabi

    Published 2015
    “…In the second phase, a classifier ensemble learning model is proposed consisting of separate outputs: (i) To select a relevant subset of original features based on Binary Quantum Gravitational Search Algorithm (QBGSA), (ii) To mine data streams using various data chunks and overcome a failure of single classifiers based on SVM, MLP and K-NN algorithms. …”
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    Thesis
  16. 16

    Rational methods for solving first order ordinary differential equation by Fairuz, A'in Nazifa

    Published 2019
    “…On the other hand, the methods from the second class are all A-stable. Besides that, the algorithm for the proposed methods are developed with constant step size strategy, in which the strategy to compute the starting values by an existing methods is also included. …”
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    Thesis
  17. 17

    Features selection for intrusion detection system using hybridize PSO-SVM by Tabaan, Alaa Abdulrahman

    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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    Thesis
  18. 18

    Numerical solution of delay differential equation using two-derivative Runge-Kutta type method with Newton interpolation by Senu, N., Lee, K. C., Ahmadian, A., Ibrahim, S. N. I.

    Published 2022
    “…Numerical approach of two-derivative Runge-Kutta type method with three-stage fifth-order (TDRKT3(5)) is developed and proposed for solving a special type of third-order delay differential equations (DDEs) with constant delay. …”
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    Article
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