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  1. 1
    Dynamic determinant matrix-based block cipher algorithm

    Dynamic determinant matrix-based block cipher algorithm by Juremi, Julia

    Published 2018
    “…The output from the DDBC algorithm will be tested and validated through NIST Statistical Test Suite. …”
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  2. 2
    Performance comparison of linear and non-linear great deluge algorithms in solving university course timetabling problems

    Performance comparison of linear and non-linear great deluge algorithms in solving university course timetabling problems by Joe Henry Obit, Yik Junn Kuan, Rayner Alfred

    Published 2017
    “…The GD algorithm is tested over three benchmark datasets: testing dataset; semester 2 session 2014/2015 test set; semester 1 session 2015/2016 test set. …”
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  3. 3
    Modified A5/1 Based Stream Cipher For Secured GSM Communication

    Modified A5/1 Based Stream Cipher For Secured GSM Communication by Zakaria, NH, Seman, K, Abdullah, I

    Published 2024
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  4. 4
    Model structure selection for a discrete-time non-linear system using a genetic algorithm

    Model structure selection for a discrete-time non-linear system using a genetic algorithm by Ahmad, R., Jamaluddin, H., Hussain, M. A.

    Published 2004
    “…The adequacy of the developed models is tested using one-step-ahead prediction and correlation-based model validation tests. …”
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  5. 5
    Model structure selection for a discrete-time non-linear system using a genetic algorithm

    Model structure selection for a discrete-time non-linear system using a genetic algorithm by Ahmad, R., Jamaluddin, H., Hussain, M. A.

    Published 2004
    “…The adequacy of the developed models is tested using one-step-ahead prediction and correlation-based model validation tests. …”
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  6. 6
    Model structure selection for a discrete-time non-linear system using genetic algorithm

    Model structure selection for a discrete-time non-linear system using genetic algorithm by Ahmad, Robiah, Jamaluddin , Hishamuddin, Hussain, Mohd. Azlan

    Published 2004
    “…The adequacy of the developed models is tested using one-step-ahead prediction and correlation-based model validation tests. …”
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  7. 7
    Non-invasive pathological voice classifications using linear and non-linear classifiers

    Non-invasive pathological voice classifications using linear and non-linear classifiers by Hariharan, Muthusamy

    Published 2010
    “…Linear classifier namely LDA based classifier and non-linear classifiers such as k-NN classifier, MLP network, PNN, and GRNN are suggested to discriminate pathological voices from normal voices. …”
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  8. 8
    Design of Improved Stream Cipher Algorithms for GSM Communication

    Design of Improved Stream Cipher Algorithms for GSM Communication by Nur Hafiza Zakaria

    Published 2024
    thesis::master thesis
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  9. 9
    Model structure selection for a discrete-time non-linear system using a genetic algorithm

    Model structure selection for a discrete-time non-linear system using a genetic algorithm by Ahmad, R., Jamaluddin, H., Hussain, Mohd Azlan

    Published 2004
    “…The adequacy of the developed models is tested using one-step-ahead prediction and correlation-based model validation tests. …”
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  10. 10
    AI recommendation penetration testing tool for SQL injection: linear regression

    AI recommendation penetration testing tool for SQL injection: linear regression by Ahmad Fuad, Norshahira Elliyana, Saad, Shahadan

    Published 2025
    “…In conclusion, the objective of this project is success because the linear regression algorithm was able to be insert in the penetration testing framework.…”
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  11. 11
    Comparison analysis of stream cipher algorithms for digital communication

    Comparison analysis of stream cipher algorithms for digital communication by Mat Sidek, Abd. Rahim, Sha'ameri, Ahmad Zuri

    Published 2007
    “…The best algorithm is the one that exceeds all of the tests.…”
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  12. 12
    Linear optimization method by using a new iterative algorithm for available transfer capability (ATC)

    Linear optimization method by using a new iterative algorithm for available transfer capability (ATC) by Hojabri, Mojgan, Hizam, Hashim, Mariun, Norman, Abdullah, Senan Mahmood

    Published 2009
    “…Most studies involved load flow based and contingencies that often can be performed in reasonable time with the use of linear methods. …”
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  13. 13
    Web-based prediction system of restaurant popularity using linear regression / Aiman Zikri Mohd Zamri

    Web-based prediction system of restaurant popularity using linear regression / Aiman Zikri Mohd Zamri by Mohd Zamri, Aiman Zikri

    Published 2017
    “…The result of the Linear Regression will be testing using Comparison Testing and the system will be tested by using the Functionality Testing. …”
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  14. 14
    Gravitational search – bat algorithm for solving single and bi-objective of non-linear functions

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

    Published 2018
    “…Finally, to verify the efficiency of the SOGS-BAT and BOGS-BAT and to demonstrate the effectiveness and robustness of the proposed algorithms, the numerical experiments based on benchmark test functions were performed. …”
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  15. 15
    Prediction of earnings manipulation on Malaysian listed firms: A comparison between linear and tree-based machine learning

    Prediction of earnings manipulation on Malaysian listed firms: A comparison between linear and tree-based machine learning by Rahman, R.A., Masrom, S., Zakaria, N.B., Nurdin, E., Abd Rahman, A.S.

    Published 2021
    “…Thus, the aim of the paper is to compare the earnings manipulation prediction models developed by using two types of machine learning algorithms; linear and tree categories. The linear based machine learning are Logistic Regression and Generalized Linear Model while the tree based are Decision Tree and Random Forest. …”
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  16. 16
    Efficient dynamic DNA-based block cipher algorithm

    Efficient dynamic DNA-based block cipher algorithm by Chng, Chern Wei

    Published 2023
    “…Moreover, a DNA-based MixColumns function was proposed to enhance the linear transformation executed in a finite field by employing fixed polynomials and preventing vulnerability to linear and differential attacks. …”
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  17. 17
    A block cipher based on genetic algorithm

    A block cipher based on genetic algorithm by Zakaria, Nur Hafiza

    Published 2016
    “…In this research also, the algorithm has been tested with NIST Statistical Test suite to evaluate the randomness of the output. …”
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  18. 18
    A new modified conjugate gradient coefficient for solving system of linear equations

    A new modified conjugate gradient coefficient for solving system of linear equations by Mustafa, Mamat, Hajar, N., Aini, N, Shapiee, N., Abidin,, Z.Z., Khadijah, W., Rivaie, M

    Published 2017
    “…This paper also includes an application of the new CG algorithm for solving large system of linear equations…”
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    Conference or Workshop Item
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  19. 19
    PSO and Linear LS for parameter estimation of NARMAX/NARMA/NARX models for non-linear data / Siti Muniroh Abdullah

    PSO and Linear LS for parameter estimation of NARMAX/NARMA/NARX models for non-linear data / Siti Muniroh Abdullah by Abdullah, Siti Muniroh

    Published 2017
    “…Additionally, the PSO algorithm was found to improve the correlation tests (reduction in correlation violation 22.22% in DCM NARX, 1.89% in FRA NARMAX and 10.46% in MG NARMA experiment) relative to the LLS algorithms.…”
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  20. 20
    Application of refinement successive over-relaxation (RSOR) in solving the piecewise polynomial on fredholm integral equation of the second type

    Application of refinement successive over-relaxation (RSOR) in solving the piecewise polynomial on fredholm integral equation of the second type by Nor Syahida Mohamad, Jumat Sulaiman, Azali Saudi, Nur Farah Azira Zainal

    Published 2023
    “…In addition, this research also considered the effective Refinement Successive Over-Relaxation (RSOR) algorithm to obtain the piecewise linear collocation solution of this linear problem. …”
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