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    Data discovery algorithm for scientific data grid environment by Abdullah, Azizol, Othman, Mohamed, Sulaiman, Md. Nasir, Ibrahim, Hamidah, Othman, Abu Talib

    Published 2005
    “…By using this model, we study various discovery algorithms for locating data sets in a data grid system. …”
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    Article
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    Parallel algorithms for numerical simulations of EHD ion-drag micropump on distributed parallel computing systems by Shakeel Ahmed, Kamboh

    Published 2014
    “…The DPA-EHD is further modified by utilizing the pipelining parallelism to reduce the computing iterations and named as data parallel and pipelining algorithm (DPPA-EHD). …”
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    Thesis
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    An Integer Linear Programming model and Adaptive Genetic Algorithm approach to minimize energy consumption of Cloud computing data centers by Ibrahim, Huda, Aburukba, Raafat O., El-Fakih, Khaled

    Published 2018
    “…This paper focuses on the development of a dynamic task scheduling algorithm by proposing an Integer Linear Programming (ILP) model that minimizes the energy consumption in a Cloud data center. …”
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    Article
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    Impatient job scheduling under cloud computing by Mahdi, Nawfal A.

    Published 2012
    “…A mathematical model has also been drawn for this problem. It models the cloud computing infrastructure with the ability to inter-operate among the clouds. …”
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    Thesis
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    Semiparametric inference procedure for the accelarated failure time model with interval-censored data by Karimi, Mostafa

    Published 2019
    “…A computationally simple two-step iterative algorithm, called estimationapproximation algorithm, is introduced for estimating the parameters of the model on the basis of the rank estimators. …”
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    Thesis
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    Autonomous and deterministic supervised fuzzy clustering by Lim, K.M., Loo, C.K., Lim, W.S.

    Published 2010
    “…Besides that, the fast global k-means algorithm 1 also improved the computation time without degrading much the model performance.…”
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    Article
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    ELP-M2: An Efficient Model for Mining Least Patterns from Data Repository by Zailani, Abdullah, Amir, Ngah, Herawan, Tutut, Noraziah, Ahmad, Siti Zaharah, Mohamad, Abdul Razak, Hamdan

    Published 2017
    “…Most of the algorithm and data structure facing a computational problem when they are required to deal with a highly sparse and dense dataset. …”
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    Book Chapter
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    First Semester Computer Science Students’ Academic Performances Analysis by Using Data Mining Classification Algorithms by Azwa, Abdul Aziz, Fadhilah, Ahmad

    Published 2014
    “…The comparative analysis is also conducted to discover the best classification model for prediction. From the experiment, the models develop using Rule Based and Decision Tree algorithm shows the best result compared to the model develop from the Naïve Bayes algorithm. …”
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    Conference or Workshop Item
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    Optimisation model for scheduling MapReduce jobs in big data processing / Ibrahim Abaker Targio Hashem by Ibrahim Abaker , Targio Hashem

    Published 2017
    “…The major enabler for underlying many big data platforms is certainly the MapReduce computational paradigm. …”
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    Thesis
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    Frequent Lexicographic Algorithm for Mining Association Rules by Mustapha, Norwati

    Published 2005
    “…The recent progress in computer storage technology have enable many organisations to collect and store a huge amount of data which is lead to growing demand for new techniques that can intelligently transform massive data into useful information and knowledge. …”
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    Thesis
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    Development of doppler shift algorithm for modelling sea surface current movements from radar remote sensing data by Marghany, Maged Mahmoud

    Published 2008
    “…This study concludes that Doppler spectra model is appropriate method to compute sea surface current in the RADARSAT-1 SAR data. …”
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    Monograph
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    Development Of Generative Computer-Aided Process Planning System For Lathe Machining by Zubair, Ahmad Faiz

    Published 2019
    “…This study attempts to solve this problem by recognizing the part model’s features via its geometrical based and produce sub-delta volumes that can later be used to generate manufacturing feature-based data for CAM in a single system via generations of algorithm through open source 3D CAD modeller. …”
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    Thesis