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  1. 1

    OPTIMIZED MIN-MIN TASK SCHEDULING ALGORITHM FOR SCIENTIFIC WORKFLOWS IN A CLOUD ENVIRONMENT by Murad S.S., Badeel R., Alsandi N.S.A., Alshaaya R.F., Ahmed R.A., Muhammed A., Derahman M.

    Published 2023
    “…To achieve this, we propose a new noble mechanism called Optimized Min-Min (OMin-Min) algorithm, inspired by the Min-Min algorithm. The objectives of this work are: i) to provide a comprehensive review of the cloud and scheduling process; ii) to classify the scheduling strategies and scientific workflows; iii) to implement our proposed algorithm with various scheduling algorithms (i.e., Min-Min, Round-Robin, Max-Min, and Modified Max-Min) for performance comparison, within different cloudlet sizes (i.e., small, medium, large, and heavy) in three scientific workflows (i.e., Montage, Epigenomics, and SIPHT); and iv) to investigate the performance of the implemented algorithms by using CloudSim. …”
    Review
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    Batch mode heuristic approaches for efficient task scheduling in grid computing system by Maipan-Uku, Jamilu Yahaya

    Published 2016
    “…Many algorithms have been implemented to solve the grid scheduling problem. …”
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    Thesis
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    Different mutation and crossover set of genetic programming in an automated machine learning by Masrom, S., Mohamad, M., Hatim, S.M., Baharun, N., Omar, N., Abd. Rahman, A.S.

    Published 2020
    “…One of the progressing works for automated machine learning improvement is the inclusion of evolutionary algorithm such as Genetic Programming. The function of Genetic Programming is to optimize the best combination of solutions from the possible pipelines of machine learning modelling, including selection of algorithms and parameters optimization of the selected algorithm. …”
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    Article
  5. 5

    Different mutation and crossover set of genetic programming in an automated machine learning by Masrom, S., Mohamad, M., Hatim, S.M., Baharun, N., Omar, N., Abd. Rahman, A.S.

    Published 2020
    “…One of the progressing works for automated machine learning improvement is the inclusion of evolutionary algorithm such as Genetic Programming. The function of Genetic Programming is to optimize the best combination of solutions from the possible pipelines of machine learning modelling, including selection of algorithms and parameters optimization of the selected algorithm. …”
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    Article
  6. 6

    IMAGE PROCESSING ALGORITHMS ON FPGA by MOHAMED SHUKOR, MOHAMED NASIR

    Published 2007
    “…Verilog HDL is chosen as the hardware programming language for these systems and its compiled using Quartus II program. …”
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    Final Year Project
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    Compatible Pair of Nontrivial Actions for Some Cyclic Groups of 2-Power Order by Sahimel Azwal, Sulaiman, Mohd Sham, Mohamad, Yuhani, Yusof

    Published 2015
    “…Algorithms in Groups, Algorithms and Programming (GAP) software are constructed to create more examples on selected case. …”
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    Conference or Workshop Item
  10. 10

    Movie recommendation system / Najwa Syamimie Hasnu by Hasnu, Najwa Syamimie

    Published 2020
    “…Movie Recommendation System is essentially developed for the purpose of producing a movie recommendation list therefore, it is paired with algorithm to provide the desired functionalities and features in the system. …”
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    Thesis
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    Implementation of Color Filtering on FPGA by Mohd Shukor, Mohd Nasir, Lo, H. H., Sebastian, Patrick

    Published 2007
    “…The chosen image processing algorithm is a single Color Filtering algorithm. This work utilizes Altera DE2 development board empowered by the Cyclone II FPGA paired with a 1.3 Mega pixel CMOS camera from Terasik Technologies. …”
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    Conference or Workshop Item
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    Compatible pair of nontrivial actions for some cyclic groups of 2-power order by Sahimel Azwal, Sulaiman, Mohd Sham, Mohamad, Yuhani, Yusof, Nor Haniza, Sarmin, Nor Muhainiah, Mohd Ali, Tan, Lit Ken, Tahir, Shah

    Published 2015
    “…Algorithms in Groups, Algorithms and Programming (GAP) software are used to create more examples on selected cases. …”
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    Conference or Workshop Item
  14. 14

    Parallel Homologous Search With Hirschberg Algorithm: A Hybrid MPI-Pthreads Solution. by Abdul Rashid, Nur'Aini, Abdullah, Rosni, Hj. Talib, Abdullah Zawawi

    Published 2007
    “…The protein sequence homologous search uses Hirschberg algorithm for the pair-wise sequence alignment. …”
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    Conference or Workshop Item
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    Compatible Pair of Nontrivial Actions for Cyclic Groups of 3-Power Order by Shahoodh, Mohammed Khalid, Mohd Sham, Mohamad, Yuhani, Yusof, Sahimel Azwal, Sulaiman

    Published 2016
    “…Group, Algorithm and Programming (GAP) software is used to find some examples on a different case. …”
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    Conference or Workshop Item
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    Fair energy-efficient resource allocation for downlink NOMA heterogeneous networks by Ali, Zuhura Juma, Noordin, Nor Kamariah, Sali, Aduwati, Hashim, Fazirulhisyam

    Published 2020
    “…The energy consumption of both the transmitter and the receiver are considered to simulate the real system design. The Greedy Algorithm (GA) is used to achieve a low-complex optimal solution during the user-pairing process. …”
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    Article
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    Implementation of color filtering on FPGA by P., Sebastian, M.N.B.M., Shukor, H.H., Lo

    Published 2007
    “…The chosen image processing algorithm is a single Color Filtering algorithm. This work utilizes Altera DE2 development board empowered by the Cyclone II FPGA paired with a 1.3 Mega pixel CMOS camera from Terasik Technologies. …”
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    Conference or Workshop Item
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    To enhance existing Malay stemming algorithm starting with the letter 'D' / Mohd Nazril Hafez Mohd Supandi by Mohd Supandi, Mohd Nazril Hafez

    Published 2000
    “…The performance of a Malay stemming algorithm is tested based on words that beginning with 'd', using 4 experiments. …”
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    Thesis
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    Twofold Integer Programming Model for Improving Rough Set Classification Accuracy in Data Mining. by Saeed, Walid

    Published 2005
    “…The accuracy for rules and classification resulted from the TIP method are compared with other methods such as Standard Integer Programming (SIP) and Decision Related Integer Programming (DRIP) from Rough Set, Genetic Algorithm (GA), Johnson reducer, HoltelR method, Multiple Regression (MR), Neural Network (NN), Induction of Decision Tree Algorithm (ID3) and Base Learning Algorithm (C4.5); all other classifiers that are mostly used in the classification tasks. …”
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    Thesis