Search Results - (( model validation ((a algorithm) OR (new algorithm)) ) OR ( za information system algorithm ))

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  1. 1

    Implementation of New Improved Round Robin (NIRR) CPU scheduling algorithm using discrete event simulation by Chang, Jan Voon

    Published 2015
    “…(Abdulrahim et al., 2014) proposed a new algorithm, called New Improved Round Robin (NIRR) to enhance the Round Robin scheduling algorithm. …”
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    Thesis
  2. 2

    Implementation of New Improved Round Robin (NIRR) CPU scheduling algorithm using discrete event simulation by Chang, Jan Voon, Ahmad, Idawaty

    Published 2016
    “…Reference [1] proposed a new algorithm, called New Improved Round Robin (NIRR) to enhance the Round Robin scheduling algorithm. …”
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    Article
  3. 3

    Optimization of assembly line balancing with energy efficiency by using tiki-taka algorithm by Ariff Nijay, Ramli

    Published 2023
    “…Lastly, a study of the industrial case was performed as a validation of the developed model and algorithm. …”
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    Thesis
  4. 4

    Performance of Semi Active Lateral Control (SALC) algorithm for semi active suspension system in multibody co-simulation method / M. M. Abdul Majid ...[et al.] by Abdul Majid, M. M., Salleh, M. S., Abu Hashim, M. A., Ismail, N. H., Mansor, S., Abu Bakar, S. A.

    Published 2018
    “…The experimental data used for simulation model correlation and validation. New controller algorithm (SALC) was than developed in Matlab/Simulink and integrate with correlated vehicle plant model for handling performance validation against passive suspension and Skyhook. …”
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    Article
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    Augmentation of basic-line-search and quick-simplex-method algorithms to enhance linear programming computational performance by Nor Azlan, Nor Asmaa Alyaa

    Published 2021
    “…Whereas, the validation from the real-world of the two datasets showed that the new augmentation algorithm steadily producing lesser iteration number compared to the conventional Simplex, QSM and BLSA algorithms. …”
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    Thesis
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    Widely linear dynamic quaternion valued least mean square algorithm for linear filtering by Mohammed, Aldulaimi Haydar Imad

    Published 2017
    “…A superior performance is achieved by the proposed algorithms in system modeling where the DQLMS was able to track the correct weights values of the different modeled systems 430 sample faster than the QLMS and ZA-QLMS algorithms while the WL-DQLMS was faster than the WLQLMS algorithm by 950 samples. …”
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    Thesis
  9. 9

    Sketch-based 3D modeling of symmetric objects from wireframe sketches on paper by Yahya, Zahrah

    Published 2016
    “…The results of the validation show a complete similarity between each original face and the output from our algorithm. …”
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    Thesis
  10. 10

    A new hybrid deep neural networks (DNN) algorithm for Lorenz chaotic system parameter estimation in image encryption by Nurnajmin Qasrina Ann, Ayop Azmi

    Published 2023
    “…The first research objective is to develop a new deep learning algorithm by a hybrid of DNN and K-Means Clustering algorithms for estimating the Lorenz chaotic system. …”
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    Thesis
  11. 11

    Mathematical modelling of mass transfer in a multi-stage rotating disc contactor column by Maan, Normah

    Published 2005
    “…A series of algorithms in solving the inverse problem were then developed corresponding to the forward models. …”
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    Thesis
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    Fatigue Life Estimation Based On Continuum Mechanics Theory With Application Of Genetic Algorithm by M., Kamal, M. M., Rahman

    Published 2015
    “…The present study presents the development of a new fatigue life estimation model using the concepts of continuum mechanics with a critical plane based approach, where a genetic algorithm is used to estimate the coefficients of the model. …”
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    Article
  14. 14

    Gravitational search – bat algorithm for solving single and bi-objective of non-linear functions by Abbas, Iraq Tareq

    Published 2018
    “…The use of the BOGSA algorithm aims to create a new equation for the calculation of the masses of population individuals, as found in the theoretical work in the Strength Pareto Evolutionary Algorithm two (SPEAII) algorithm. …”
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    Thesis
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    Simplified approach to validate constitutive model formulation of orthotropic materials undergoing finite strain deformation by Mohd Nor, Mohd Khir, Ma`at, Norzarina

    Published 2016
    “…The validation process was performed by conducting a series of a single element analysis of a uniaxial strain test and uniaxial stress test. …”
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    Article
  17. 17

    MBIST implementation and evaluation in FPGA based on low-complexity March algorithms by Jidin, Aiman Zakwan, Mispan, Mohd Syafiq, Hussin, Razaidi, Weng, Fook Lee

    Published 2024
    “…New March AZ1 and March AZ2 algorithms, with 13N and 14N complexities, respectively, were introduced to provide optimum coverage of those faults and to produce a shorter test than an 18N-complexity test algorithm with a lesser area overhead, thus reducing chip manufacturing costs. …”
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    Article
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    New perturb and observe algorithm based on trapezoidal rule: uniform and partial shading conditions by Mahmod Mohammad Altwallbah, Neda, Mohd Radzi, Mohd Amran, Azis, Norhafiz, Shafie, Suhaidi, Mohd Zainuri, Muhammad Ammirrul Atiqi

    Published 2022
    “…The feasibility and effectiveness of the suggested algorithm, as well as the well-designed boost converter, are validated using two different methodologies: a simulation model in MATLAB/Simulink and hardware implementation by the (TMS320F28335) digital signal processing controller. …”
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    Article
  19. 19

    Development of intelligent 3D solid modeler based on artificial intelligent technique by Mohd. Zain, Azlan, Talib, Mohamad Shukor, Harun, Habibollah, Matondang, Muhammad Zaini, Mardzuki, Samihah

    Published 2008
    “…The reconstruction contains two categories namely deriving depth values and deriving hidden point while the representation is the combination of neural network and mathematical model. Four contributions presented in this thesis were a new framework for solid model reconstruction and representation, a new experimental data design in development of the neural network models, neural network models for solid model reconstruction, and hybrid algorithm in representing solid model. …”
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    Monograph
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