Search Results - (( variable step from algorithm ) OR ( java adaptation optimization algorithm ))

Refine Results
  1. 1
  2. 2
  3. 3

    Diagonal R-point variable step variable order block method for solving second order ordinary differential equations by Zainuddin, Nooraini

    Published 2016
    “…Further implementation of the 2DBBDF and 3DBBDF methods in variable step variable order scheme displays comparable results with other variable step variable order methods. …”
    Get full text
    Get full text
    Thesis
  4. 4

    SURE-Autometrics algorithm for model selection in multiple equations by Norhayati, Yusof

    Published 2016
    “…Two sets of general unrestricted models (GUMS) are then formulated by adding a number of irrelevant variables to the specification models. The performance is measured by the percentages of SURE-Autometrics algorithm that are able to eliminate the irrelevant variables from the initial GUMS of two, four and six equations. …”
    Get full text
    Get full text
    Get full text
    Thesis
  5. 5
  6. 6
  7. 7

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

    Published 2015
    “…There are two strategies that have been implemented in the numerical solutions which are the variable step size and the variable step size and variable order. …”
    Get full text
    Get full text
    Thesis
  8. 8

    Robust correlation feature selection based support vector machine approach for high dimensional datasets by Baba, Ishaq Abdullahi, Mohammed, Mohammed Bappah, Jillahi, Kamal Bakari, Umar, Aliyu, Hendi, Hasan Talib

    Published 2025
    “…The second step utilizes the estimates of weights from the first step to select the most important variables for the model. …”
    Get full text
    Get full text
    Get full text
    Article
  9. 9

    Parallel method using MPI for solving large systems of delay differential equations by Ishak, Fuziyah, Suleiman, Mohamed

    Published 2012
    “…The algorithm is based on a variable stepsize variable order block method. …”
    Get full text
    Get full text
    Conference or Workshop Item
  10. 10

    Variable step size least mean square optimization for motion artifact reduction: A review by Zailan, K.A.M., Hasan, M.H., Witjaksono, G.

    Published 2019
    “…Therefore, we propose a research to formulate an improved motion artifact reduction approach using variable step-size least mean square (VSSLMS). The objective of this paper is to review VSSLMS for motion artifact reduction. …”
    Get full text
    Get full text
    Article
  11. 11

    Simulation of droplet coalesce using lattice Boltzmann method by Mohamad Rizam, Zenudin

    Published 2009
    “…Algorithm of multiphase LBM involving the initial condition, streaming step, collision step and boundary condition is coded to done the simulation. …”
    Get full text
    Get full text
    Undergraduates Project Papers
  12. 12

    Parallel Block Methods for Solving Ordinary Differential Equations by Abdul Majid, Zanariah

    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. …”
    Get full text
    Get full text
    Thesis
  13. 13

    Anfis Modelling On Diabetic Ketoacidosis For Unrestricted Food Intake Conditions by Saraswati, Galuh Wilujeng

    Published 2017
    “…The project has also implemented the optimization process onto the proposed ANFIS model through the hybrid of Genetic Algorithm on the fuzzy membership function of the ANFIS model. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Thesis
  14. 14

    Error concealment technique using wavelet neural network for wireless transmitted digital images by Al-Azzawi, Alaa Khamees

    Published 2012
    “…This framework is implemented in three key steps. The first step is devoted to detecting invisible patches. …”
    Get full text
    Get full text
    Thesis
  15. 15

    Optimized differential evolution algorithm for linear frequency modulation radar signal denoising by Al-Dabbagh, Mohanad Dawood Hasan

    Published 2013
    “…We refer to the new DE algorithm as random variable length crossover DE (rvlx- DE) algorithm. …”
    Get full text
    Get full text
    Thesis
  16. 16

    Modelling and simulation of drying process for ceramic membrane fabrication by Ong, Tze Ching

    Published 2015
    “…A fully implicit algorithm has been employed for numerical solution using the finite element method in which the Galerkin weighted residual method is used in the spatial discretization and a backward finite difference time-stepping scheme is employed for time integration. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Thesis
  17. 17

    Robust remote heart rate estimation from multiple asynchronous noisy channels using autoregressive model with Kalman filter by Nooralishahi, Parham, Loo, Chu Kiong, Shiung, Liew Wei

    Published 2019
    “…Also, it indicates that our algorithm can be used for the online environment. Finally, the application of our algorithm in search and rescue scenarios using drones is considered and an experiment is conducted to investigate the algorithm's potential to be embedded in drones.…”
    Get full text
    Get full text
    Article
  18. 18

    Design of artificial intelligence based speed estimator for DC drives / Pauziah Saleh by Saleh, Pauziah

    Published 2006
    “…This was tested by training the system using minimum hidden nodes until reach at the optimum results for the closed loop step and also variable step function. The solutions to the parameter estimated speed for DC motor and without using the tancho generator, the speed of the DC motor can be measured. …”
    Get full text
    Get full text
    Thesis
  19. 19

    Optimization and control of hydro generation scheduling using hybrid firefly algorithm and particle swarm optimization techniques by Hammid, Ali Thaeer

    Published 2018
    “…In the FPSO method, the local search is performed through the modified light intensity attraction step with PSO operator. Secondly, this approach hybridizing the FA with the rough algorithm (RA), where RA is used to control the steps of randomness for the FA while optimizing the weights of the standard BPNN model. …”
    Get full text
    Get full text
    Thesis
  20. 20