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  1. 1
    Some greedy based algorithms for multi periods degree constrained minimum spanning tree problem

    Some greedy based algorithms for multi periods degree constrained minimum spanning tree problem by Wamiliana, Wamiliana, Elfaki, Faiz Ahmed Mohamed, Usman, Mustofa, Azram, Mohammad

    Published 2015
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  2. 2
    The implications for ahybrid detection technique against malicious sqlattacks on web applications

    The implications for ahybrid detection technique against malicious sqlattacks on web applications by Bahjat Arif, Sarajaldeen Akram, Wani, Sharyar

    Published 2025
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  3. 3
    Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method

    Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method by Ashraf Saleh Mohammad Alomoush

    Published 2024
    thesis::doctoral thesis
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  4. 4
    Efficient task scheduling strategies using symbiotic organisms search algorithm for cloud computing environment

    Efficient task scheduling strategies using symbiotic organisms search algorithm for cloud computing environment by Sa'ad, Suleiman

    Published 2022
    “…Furthermore, the simulation results showed that the eDSOS task scheduling approach outperformed the benchmark algorithm, produced better makespan time performance of 15.93%, 16.22%, 19.69% and 14.54% whereas the benchmark algorithm produced 18.04%, 19.64%, 16.08% and 14.72%, when implemented on the same dataset. …”
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  5. 5
    Generating driver prioritization for Jabatan Perkhidmatan Awam (JPA) – Malaysia Foresight Institute (MFI) collaboration scenario building workshop using Bayesian technique / Wan Nur Zhulianna Wan Rahmat Asmadi

    Generating driver prioritization for Jabatan Perkhidmatan Awam (JPA) – Malaysia Foresight Institute (MFI) collaboration scenario building workshop using Bayesian technique / Wan Nu... by Wan Rahmat Asmadi, Wan Nur Zhulianna

    Published 2015
    “…This project will apply the use of adaptive Bayesian network algorithm as it is more efficient and the most suitable than some of the possible techniques which have been studied.…”
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  6. 6
    A wavelet-based approach for vibration analysis of framed structures

    A wavelet-based approach for vibration analysis of framed structures by Mahdavi, S.H., Abdul Razak, H.

    Published 2013
    “…Emphasizing on frequency-domain approximation, a simple step-by-step algorithm has been implemented and improved to calculate the response of MDOF systems. …”
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  7. 7
    Simulation of quantum growing network / Ong Boon Teong

    Simulation of quantum growing network / Ong Boon Teong by Ong , Boon Teong

    Published 2003
    “…These capabilities are of significant practical importance to banks and government agencies. lndeed, a quantum scheme for sending and receiving ultra-secure messages has already been implemented over a distance of 30km-far enough to wire the financial district of any major city. …”
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  8. 8
    A New Optimization Technique Of Support Vector Machine For Electricity Market Price Forecasting

    A New Optimization Technique Of Support Vector Machine For Electricity Market Price Forecasting by Wan Abdul Razak, Intan Azmira, Zainal Abidin, Izham, Yap, Keem Siah, Sulaima, Mohamad Fani, Hassan, Elia Erwani, Gan, Chin Kim

    Published 2019
    “…It can also be a mechanism for price forecasting in Malaysia when deregulated electricity market is being implemented by the government in the future.…”
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  9. 9
    Optical soliton perturbation with quadratic-cubic nonlinearity / Mir Asma

    Optical soliton perturbation with quadratic-cubic nonlinearity / Mir Asma by Mir, Asma

    Published 2020
    “…A wide variety of analytical methods are implemented to the perturbed NLSE to gain a complete understanding of the pulse dynamics, both analytically as well as numerically. …”
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  10. 10
    Comparison between specifications of linear regression and spatial-temporal autoregressive models in mass appraisal valuation for single storey residential property

    Comparison between specifications of linear regression and spatial-temporal autoregressive models in mass appraisal valuation for single storey residential property by Jahanshiri, Ebrahim

    Published 2013
    “…These models however, are not widespread as the simple linear models due to scarcity of proper data and incomprehensive research findings on their implementation issues. Effects such as normality treatment, definition of neighbourhoods and weights and choice of autocorrelation parameter and parameter estimation are some of the complexities that are inherent to these models. …”
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