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  1. 1

    Ant colony optimization algorithm for load balancing in grid computing by Ku-Mahamud, Ku Ruhana, Mohamed Din, Aniza

    Published 2012
    “…This research proposes an enhancement of the ant colony optimization algorithm that caters for dynamic scheduling and load balancing in the grid computing system. …”
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    Monograph
  2. 2

    Enhancement of Ant Colony Optimization for Grid Job Scheduling and Load Balancing by Husna, Jamal Abdul Nasir

    Published 2011
    “…This research proposes an Enhanced Ant Colony Optimization (EACO) algorithm that caters dynamic scheduling and load balancing in the grid computing system. …”
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    Thesis
  3. 3

    Resource management in grid computing using ant colony optimization by Ku-Mahamud, Ku Ruhana, Mohamed Din, Aniza

    Published 2011
    “…Resources with high pheromone value are selected to process the submitted jobs.Global pheromone update is performed after completion processing the jobs in order to reduce the pheromone value of resources.A simulation environment was developed using Java programming to test the performance of the proposed EACO algorithm against other ant based algorithm, in terms of resource utilization.Experimental results show that EACO produced better grid resource management solution.…”
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    Monograph
  4. 4

    Implementation of locust inspired scheduling algorithm with huge number of servers for energy efficiency in a cloud datacenter by Azhar, Nur Huwaina

    Published 2019
    “…Cloudsim is used as Discrete Event Simulation tool and Java as coding language to evaluate LACE algorithm. …”
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    Thesis
  5. 5

    Developing and validating a simulation model for counting and classification of vehicles by Ali Emad Jehad, Riza Atiq O.K. Rahmat

    Published 2016
    “…An algorithm system approach has been presented for extracting traffic data using video image processing. …”
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    Article
  6. 6

    Prediction of ADHD from a small dataset using an adaptive EEG theta/beta ratio and PCA feature extraction by Sase, Takumi, Othman, Marini

    Published 2022
    “…In this paper, we propose an adaptive EEG feature extraction approach using TBR and PCA. Repeated TBR-PCA feature extraction, SVM classification and statistical testing were applied on a small EEG sample with ADHD/typically developing (TD) labels. …”
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    Proceeding Paper
  7. 7

    Prediction of ADHD from a small dataset using an adaptive EEG Theta/Beta Ratio and PCA feature extraction by Sase, Takumi, Othman, Marini

    Published 2022
    “…In this paper, we propose an adaptive EEG feature extraction approach using TBR and PCA. Repeated TBR-PCA feature extraction, SVM classification and statistical testing were applied on a small EEG sample with ADHD/typically developing (TD) labels. …”
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    Proceeding Paper
  8. 8

    An Automated Feature Extraction Algorithm for Diagnosis of Gear Faults by Irfan, M., Saad, N., Alwadie, A., Awais, M., Aman Sheikh, M., Glowacz, A., Kumar, V.

    Published 2019
    “…This issue has been addressed in this paper through the development of the automated spectral extraction algorithm. …”
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    Article
  9. 9

    New Instances Classification Framework On Quran Ontology Applied To Question Answering System by Utomo, Fandy Setyo, Suryana, Nanna, Azmi, Mohd Sanusi

    Published 2019
    “…This algorithm is chosen since it robustness to noisy data and has an excellent achievement to handle small dataset. …”
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    Article
  10. 10

    PV fault classification: Impact on accuracy performance using feature extraction in random-forest cross validation algorithm by Muhamad Zahim, Sujod, Siti Nor Azlina, Mohd Ghazali, Mohd Fadzil, Abdul Kadir, Al-Shetwi, Ali Qasem

    Published 2024
    “…As the results, all SFDC models (small, medium, large-scale) developed have achieved 100% accuracy for all fault types in training simulations. …”
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    Article
  11. 11

    Synthetic Analysis Of Fluid Flow Through Particle Image Velocimetry (PIV) by Ahmad Fauzi, Marwan Asyraaf

    Published 2016
    “…The research is about creating an algorithm derived from cross-correlation theory that is being used in extracting velocity of the fluid. …”
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    Final Year Project
  12. 12

    Feature extraction: hand shape, hand position and hand trajectory path by Bilal, Sara Mohammed Osman Saleh, Akmeliawati, Rini

    Published 2011
    “…Algorithms have been developed for extracting these features after segmenting the head and the two hands. …”
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    Book Chapter
  13. 13

    Image storage and retrieval using color quantization method by Mandal, Koushik Kanti, Islam, Md. Rafiqul, Md. Sap, Mohd. Noor, Khatun, Fahmida, Reza, Md. Parvez

    Published 2005
    “…The image is segmented by our proposed segmentation algorithm, which uses the compact color descriptor .The result of the experiment shows that the developed segmentation algorithm produces better performances as compared with the existing segmentation algorithm. …”
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    Article
  14. 14

    Sentiment mining using immune network algorithm /Raja Muhammad Hafiz Raja Kamarudin by Raja Kamarudin, Raja Muhammad Hafiz

    Published 2012
    “…However, this is a step stone towards developing a biological-inspired Sentiment Mining algorithm…”
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    Thesis
  15. 15

    Fetal heart rate monitoring during pregnancy for assessing the well-being of the fetus by Ibrahimy, Muhammad Ibn

    Published 2018
    “…A filtering technique has been utilized in the proposed algorithm to extract the fetal signal from the maternal abdominal signal. …”
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    Article
  16. 16

    Fetal heart rate monitoring during pregnancy for assessing the well being of the fetus by Ibrahimy, Muhammad Ibn

    Published 2017
    “…A filtering technique has been utilized in the proposed algorithm to extract the fetal signal from the maternal abdominal signal. …”
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    Proceeding Paper
  17. 17

    Fetal heart rate monitoring during pregnancy for assessing the well being of the fetus by Ibrahimy, Muhammad Ibn

    Published 2018
    “…A filtering technique has been utilized in the proposed algorithm to extract the fetal signal from the maternal abdominal signal. …”
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    Article
  18. 18

    Polymorphic malware detection based on dynamic analysis and supervised machine learning / Nur Syuhada Selamat by Selamat, Nur Syuhada

    Published 2021
    “…As with most studies,careful attention was paid to false positive and false negative rates which reduce their overall detection accuracy and effectiveness.The result showed that the Random Forest algorithm is the best detection accuracy compares to others classifier with 99 % on a relatively small dataset. …”
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    Thesis
  19. 19

    Fetal heart rate monitoring during pregnancy for assessing the well being of the fetus by Ibrahimy, Muhammad Ibn

    Published 2017
    “…A filtering technique has been utilized in the proposed algorithm to extract the fetal signal from the maternal abdominal signal. …”
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    Article
  20. 20

    Small Dataset Learning In Prediction Model Using Box-Whisker Data Transformation by Lateh, Masitah bdul

    Published 2020
    “…Thus, the information gained from small samples size are deficient. The main reason why a small sample size has problem in extracting the valuable information is that, the information gaps is exist. …”
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    Thesis