Search Results - (( simulation using growth algorithm ) OR ( java implication based algorithm ))

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  1. 1

    An improved pixel-based and region-based approach for urban growth classification algorithms / Nur Laila Ab Ghani by Ab Ghani, Nur Laila

    Published 2015
    “…The forms of urban growth can be simulated using satellite remote sensing data and suitable classification technique. …”
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  2. 2

    High performance simulation for brain tumors growth using parabolic equation on heterogeneous parallel computer systems by Pheng, H. S., Alias, Norma, Mohd. Said, Norfarizan

    Published 2007
    “…This paper focuses on the implementation of parallel algorithm for the simulation of brain tumours growth using one dimensional parabolic equation, design on a distributed parallel computer system. …”
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  3. 3

    High performance visualization of human tumor growth software by Alias, Norma, Mohd. Said, Norfarizan, Khalid, Siti Nur Hidayah, Sin, Dolly Tien Ching, Phang, Tau Ing

    Published 2008
    “…The implementation of parallel algorithm based on parallel computing system is used to visualize the growth of human tumour. …”
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  4. 4
  5. 5

    High performance simulation for brain tumours growth using parabolic equation on heterogeneous parallel computer system by Pheng H. S., Norma Alias, Norfarizan Mohd Said

    Published 2007
    “…This paper focuses on the implementation of parallel algorithm for the simulation of brain tumours growth using one dimensional parabolic equation, design on a distributed parallel computer system. …”
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  6. 6
  7. 7

    Application of genetic algorithms to model parameter identification of a recombinant e.coli high-cell density fed-batch fermentation / Kamaruddin Mamat and Farida Zuraina Mohd Yuso... by Mamat, Kamaruddin, Mohd Yusof, Farida Zuraina

    Published 2008
    “…The model based on the General State Space Dynamical Model was used to represent the three major metabolic pathways: oxidative growth on glucose, fermentative growth on glucose and oxidative growth on acetate. …”
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  8. 8
  9. 9

    Application of genetic algorithms to model parameter identification of a recombinant e.coli high-cell density fedbatch fermentation / Kamaruddin Mamat and Farida Zuraina Mohd Yusof by Mamat, Kamaruddin, Mohd Yusof, Farida Zuraina

    Published 2008
    “…The model based on the General State Space Dynamical Model was used to represent the three major metabolic pathways: oxidative growth on glucose, fermentative growth on glucose and oxidative growth on acetate. …”
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  10. 10

    The visualization of three dimensional brain tumors' growth on distributed parallel computer systems by Alias, Norma, Masseri, Mohd. Ikhwan Safa, Islam, Md. Rajibul, Khalid, Siti Nurhidayah

    Published 2009
    “…The discretization of the three-dimensional parabolic equations for the brain tumor’s growth mathematical model using a numerical finite-difference method will be implemented from the previous study of two dimensional model and thus a parallelization of algorithm simulation to computational resources based on high-performance computing systems will be used to generate the growth of the brain tumor in three dimensional. …”
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  11. 11

    Robust backpropagation neural network using date palm seed growth algorithm for stock market prediction by Tengku Nurul Aimi Balqis, Tengku Malim Busu

    Published 2025
    “…Addressing this issue, this study proposes an alternative approach by replacing OLS with Date Palm Seed Growth Least Median Squares (DPSG-LMedS) algorithm. …”
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  12. 12
  13. 13

    Data depublication using : Hashing algorithm / Naimah Nayan by Nayan, Naimah

    Published 2019
    “…The hash value is generated by using hashing algorithm such as Message Digest 5 (MD5) and Secure Hashing Algorithm 1 (SHA-1). …”
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  14. 14

    Photovoltaic System with INC MPPT Algorithm in MATLAB Simulink by F.Z. Hamidon, Nor Shafiqin, P.D. Abd. Aziz, N.H. Mohd Yunus, UniKL BMI

    Published 2013
    “…The simulation works are carried out in MATLAB Simulink. …”
  15. 15

    Parallel system for abnormal cell growth prediction based on fast numerical simulation by Alias, Norma, Islam, Md. Rajibul, Shahir, Rosdiana, Hamzah, Norhafizah, Satam, Noriza, Abd. Ghaffar, Zarith Safiza, Darwis, Roziha, Ludin, Eliana, Azami, Masrin

    Published 2010
    “…The paper focuses on a numerical method for detecting, visualizing and monitoring abnormal cell growth using large-scale mathematical simulations. …”
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  16. 16

    Impatient job scheduling under cloud computing by Mahdi, Nawfal A.

    Published 2012
    “…The proposed algorithm is tested via simulation and real datasets. …”
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  17. 17

    An enhanced discrete symbiotic organism search algorithm for optimal task scheduling in the cloud by Sa’ad, Suleiman, Muhammed, Abdullah, Abdullahi, Mohammed, Abdullah, Azizol, Ayob, Fahrul Hakim

    Published 2021
    “…Thus, the eDSOS strategy converges faster when the search space is larger or more prominent due to diversification. The CloudSim simulator was used to conduct the experiment, and the simulation results show that the proposed eDSOS was able to produce a solution with a good quality when compared with that of the DSOS. …”
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  18. 18

    Multilayers fast mode decision algorithm for scalable video coding: design, implementation, and streaming evaluation on IEEE 802.11g wireless LAN by Maarif, Haris Al Qodri, Gunawan, Teddy Surya

    Published 2011
    “…The fast mode decision scheme has been implemented and successfully decreased encoding time with negligible loss of quality and bitrate requirement. The streaming simulation has also been performed using the SVEF simulator. …”
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  19. 19

    Towards the utilization of normalized LMS algorithm in adaptive filter by Misbah Emhammed, Misbah Abdelsalam, Ho, Yih Hwa

    Published 2014
    “…MATLAB was used for simulating the adaptive filter with a noisy tone signal and white noise signal. …”
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  20. 20

    Locust- inspired meta-heuristic algorithm for optimising cloud computing performance by Fadhil, Mohammed Alaa

    Published 2023
    “…The proposed algorithm is evaluated using the WorkflowSim simulation with a real dataset. …”
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