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  1. 1
    Curve fitting by rational cubic Bézier with C1 and G1 continuity using metaheuristics methods

    Curve fitting by rational cubic Bézier with C1 and G1 continuity using metaheuristics methods by Najihah, Mohamed, Ahmad Lutfi, Amri Ramli, Ahmad, Abd Majid, Abd Rahni, Mt Piah

    Published 2019
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  2. 2
    Data fitting by G1 rational cubic Be´zier curves using harmony search

    Data fitting by G1 rational cubic Be´zier curves using harmony search by Mohamed, Najihah, Majid, Ahmad Abd, Piah, Abd Rahni Mt

    Published 2015
    “…A metaheuristic algorithm, called Harmony Search (HS) is implemented for data fitting by rational cubic Be´ zier curves. …”
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  3. 3
    Comparison between Cubic Bezier curve, Rational Cubic Bezier curve and Rational Cubic Timmer curve with the application of Arabic Calligraphy design / Nurhusnina Md Radhi

    Comparison between Cubic Bezier curve, Rational Cubic Bezier curve and Rational Cubic Timmer curve with the application of Arabic Calligraphy design / Nurhusnina Md Radhi by Md Radhi, Nurhusnina

    Published 2018
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  4. 4
    Data Fitting by G1 Rational Cubic Bézier Curves Using Harmony Search

    Data Fitting by G1 Rational Cubic Bézier Curves Using Harmony Search by Najihah, Mohamed, Ahmad, Abd Majid, Abd Rahni, Mat Piah

    Published 2015
    “…A metaheuristic algorithm, called Harmony Search (HS) is implemented for data fitting by rational cubic Bézier curves. …”
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  5. 5
    Rational Bi-Quartic Spline with Six Parameters for Surface Interpolation with Application in Image Enlargement

    Rational Bi-Quartic Spline with Six Parameters for Surface Interpolation with Application in Image Enlargement by Karim, S.A.A.

    Published 2020
    “…This rational bi-quartic spline has six free parameters that can be used to refine the final interpolating surface. …”
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  6. 6
    Robust diagnostics and variable selection procedure based on modified reweighted fast consistent and high breakdown estimator for high dimensional data

    Robust diagnostics and variable selection procedure based on modified reweighted fast consistent and high breakdown estimator for high dimensional data by Baba, Ishaq Abdullahi

    Published 2022
    “…The results obtained from the simulation study and real data sets indicate that the proposed method possesses high detection power with minimal misclassification error compared to the MRCD and MDP methods. …”
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  7. 7
    Representation Of Rational Bézier Quadratics Using Genetic Algorithm, Differential Evolution And Particle Swarm Optimization

    Representation Of Rational Bézier Quadratics Using Genetic Algorithm, Differential Evolution And Particle Swarm Optimization by Yahya, Zainor Ridzuan

    Published 2013
    “…These techniques have been used to optimize control points and weights in the description of spline functions used. …”
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  8. 8
    Curve Reconstruction By Metaheuristics Algorithms On Cubic Rational Bézier Function

    Curve Reconstruction By Metaheuristics Algorithms On Cubic Rational Bézier Function by Mohamed, Najihah

    Published 2019
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  9. 9
    Algorithm enhancement for host-based intrusion detection system using discriminant analysis

    Algorithm enhancement for host-based intrusion detection system using discriminant analysis by Dahlan, Dahliyusmanto

    Published 2004
    “…Algorithms for building detection models are usually classified into two categories: misuse detection and anomaly detection. …”
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  10. 10
    Comparing seabed roughness result from QPS fledermaus software, benthic trrain modeler [BTM] and developed model derived FRM slope variability algorithm for hard coral reef detection / Nur Asikin Mohd Sayud

    Comparing seabed roughness result from QPS fledermaus software, benthic trrain modeler [BTM] and developed model derived FRM slope variability algorithm for hard coral reef detecti... by Mohd Sayud, Nur Asikin

    Published 2018
    “…In this study, several models has been created which are from QPS Fledermaus model, BTM model and Slope Variability model. Slope variability model is an algorithm that is being used for detecting terrain roughness. …”
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  11. 11
    Fault diagnostic algorithm for precut fractionation column

    Fault diagnostic algorithm for precut fractionation column by Heng, H. Y., Ali, Mohamad Wijayanuddin, Kamsah, Mohd. Zaki

    Published 2004
    “…Hazard and Operability Study (HAZOP) is used to support the diagnosis task. The algorithm has been successful in detecting the deviations of each variable by testing the data set. …”
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  12. 12
    Applications and comparison of quadratic and cubic rational Bezier curve on batik design / Muhammad Izhar Ishak

    Applications and comparison of quadratic and cubic rational Bezier curve on batik design / Muhammad Izhar Ishak by Ishak, Muhammad Izhar

    Published 2017
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  13. 13
    A real time road marking detection system on large variability road images database

    A real time road marking detection system on large variability road images database by Khan, Bahadur Shah, Hanafi, Marsyita, Mashohor, Syamsiah

    Published 2017
    “…One of the first embedded system is a lane detection system, which was implemented using road marking detection algorithms with the aim to produce a system that is able to detect various shapes of road markings on the images that are captured under various imaging conditions. …”
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  14. 14
    Coronary artery stenosis detection and visualization / Tang Sze Ling

    Coronary artery stenosis detection and visualization / Tang Sze Ling by Tang, Sze Ling

    Published 2015
    “…In contrast to the conventional methods which perform detection from a single image, the stenosis detection algorithm using two images from various view angles to avoid false positive (stenosis overestimated) and false negative (stenosis underestimated). …”
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  15. 15
    Multi road marking detection system for autonomous car using hybrid- based method

    Multi road marking detection system for autonomous car using hybrid- based method by Shah, Khan Bahadur

    Published 2018
    “…The proposed system consists of a combination of Inverse Perspective Transform method, an image enhancement method and edge detection method. …”
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  16. 16
    Designing of skull defect implants using C1 rational cubic Bezier and offset curves

    Designing of skull defect implants using C1 rational cubic Bezier and offset curves by Najihah, Mohamed, Ahmad, Abd Majid, Abd Rahni, Mt Piah, Zainul, Ahmad Rajion

    Published 2015
    “…In this study, data approximation by a rational cubic Bézier function uses HS to optimize position of middle points and value of the weights. …”
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  17. 17
    A study on advanced statistical analysis for network anomaly detection

    A study on advanced statistical analysis for network anomaly detection by Ngadi, Md. Asri, Idris, Mohd. Yazid, Abdullah, Abd. Hanan

    Published 2005
    “…Algorithms for building detection models are usually classified into two categories: misuse detection and anomaly detection. …”
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  18. 18
    Rational methods for solving first order ordinary differential equation

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

    Published 2019
    “…In this study, two classes of rational methods of second to fourth order of accuracy are proposed. …”
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  19. 19
    Development of fault detection, diagnosis and control system identification using multivariate statistical process control (MSPC)

    Development of fault detection, diagnosis and control system identification using multivariate statistical process control (MSPC) by Ibrahim, Kamarul 'Asri, Ahmad, Arshad, Ali, Mohamad Wijayanuddin, Mak, Weng Yee

    Published 2006
    “…Results showed that the developed FDD algorithm successfully detect and diagnosed the pre-designed faults. …”
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  20. 20
    Rational quadratic Bézier curve fitting by simulated annealing technique

    Rational quadratic Bézier curve fitting by simulated annealing technique by Najihah, Mohamed, Ahmad, Abd Majid, Abd Rahni, Mt Piah

    Published 2013
    “…A metaheuristic algorithm, which is an approximation method called simulated annealing is implemented in order to have the best rational quadratic Bézier curve from a given data points. …”
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