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  1. 1
    Attribute reduction based scheduling algorithm with enhanced hybrid genetic algorithm and particle swarm optimization for optimal device selection

    Attribute reduction based scheduling algorithm with enhanced hybrid genetic algorithm and particle swarm optimization for optimal device selection by Nwogbaga, Nweso Emmanuel, Latip, Rohaya, Affendey, Lilly Suriani, Abdul Rahiman, Amir Rizaan

    Published 2022
    “…The simulation is implemented with iFogSim and java programming language. …”
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  2. 2
    Segmentation of Lung Region in Computed Tomography (CT) Images

    Segmentation of Lung Region in Computed Tomography (CT) Images by Mohd Bokeri, Husna Adila

    Published 2015
    “…In this work, a lung segmentation algorithm for CT images is proposed and evaluated. …”
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    Final Year Project
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  3. 3
    Adaptive Hybrid Blood Cell Image Segmentation

    Adaptive Hybrid Blood Cell Image Segmentation by Muda, TZT, Salam, RA, Ismail, S

    Published 2024
    “…The selected approach will be enhanced by applying Median-cut algorithm to further expand the segmentation process. …”
    Proceedings Paper
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  4. 4
    Comparative Analysis on Blood Cell Image Segmentation

    Comparative Analysis on Blood Cell Image Segmentation by Muda, TZT, Salam, RA

    Published 2024
    “…Blood cell images that are infected with malaria parasites at various stages were tested. The most suitable method that is K-means was selected. K-means has been enhanced by integrating Median-cut algorithm to further improve the segmentation process. …”
    Proceedings Paper
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  5. 5
    Enhancement of Ant Colony Optimization for Grid Job Scheduling and Load Balancing

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

    Published 2011
    “…Global pheromone update is performed after the completion of 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 existing grid resource management algorithms such as Antz algorithm, Particle Swarm Optimization algorithm, Space Shared algorithm and Time Shared algorithm, in terms of processing time and resource utilization. …”
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    Thesis
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  6. 6
    Ant colony optimization algorithm for load balancing in grid computing

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

    Published 2012
    “…The proposed algorithm is known as the enhance ant colony optimization (EACO). …”
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    Monograph
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  7. 7
    Comparative analysis on blood cell image segmentation

    Comparative analysis on blood cell image segmentation by Tuan Muda, Tuan Zalizam, Abdul Salam, Rosalina

    Published 2013
    “…K-means has been enhanced by integrating Median-cut algorithm to further improve the segmentation process.The proposed integrated method has shown a significant improvement in the number of selected regions.…”
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    Conference or Workshop Item
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  8. 8
    Liver segmentation on CT images using random walkers and fuzzy c-means for treatment planning and monitoring of tumors in liver cancer patients

    Liver segmentation on CT images using random walkers and fuzzy c-means for treatment planning and monitoring of tumors in liver cancer patients by Moghbel, Mehrdad

    Published 2017
    “…The proposed method is based on a hybrid method integrating random walkers algorithm with integrated priors and particle swarm optimized spatial fuzzy c-means (FCM) algorithm with level set method and AdaBoost classifier. …”
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    Thesis
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  9. 9
    Cuckoo search algorithm and wind driven optimization based study of satellite image segmentation for multilevel thresholding using Kapur’s entropy

    Cuckoo search algorithm and wind driven optimization based study of satellite image segmentation for multilevel thresholding using Kapur’s entropy by Bhandari, A.K., Singh, V.K, Kumar, A., Singh, G.K.

    Published 2014
    “…A new approach of CS and WDO algorithm is used for selection of optimal threshold value. …”
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  10. 10
    Adaptive Hybrid Blood Cell Image Segmentation

    Adaptive Hybrid Blood Cell Image Segmentation by Tuan Muda, Tuan Zalizam, Abdul Salam, Rosalina, Ismail, Suzilah

    Published 2019
    “…The selected approach will be enhanced by applying Median-cut algorithm to further expand the segmentation process. …”
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  11. 11
    Model-based hybrid variational level set method applied to lung cancer detection

    Model-based hybrid variational level set method applied to lung cancer detection by Jing, Wang, Liew, Siau-Chuin, Azian, Abd Aziz

    Published 2024
    “…Initially, the VLSM introduces a scale-adaptive fast level-set image segmentation algorithm to address the inefficiency of low gray scale image segmentation. …”
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  12. 12
    Empirical Study of Segment Particle Swarm Optimization and Particle Swarm Optimization Algorithms

    Empirical Study of Segment Particle Swarm Optimization and Particle Swarm Optimization Algorithms by Azrag, M. A. K., Tuty Asmawaty, Abdul Kadir

    Published 2019
    “…In this paper, the performance of segment particle swarm optimization (Se-PSO) algorithm was compared with that of original particle swarm optimization (PSO) algorithm. …”
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  13. 13
    Edge detection and contour segmentation for fruit classification in natural environment / Khairul Adilah Ahmad

    Edge detection and contour segmentation for fruit classification in natural environment / Khairul Adilah Ahmad by Ahmad, Khairul Adilah

    Published 2018
    “…Based on previous researches, most existing segmentation methods focused on a specific environment. …”
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    Thesis
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  14. 14
    Image clustering comparison of two color segmentation techniques

    Image clustering comparison of two color segmentation techniques by Subramaniam, Kavitha Pichaiyan

    Published 2010
    “…This project proposed a two color segmentation techniques such as K-means and Fuzzy C-means clustering algorithm that are accurately segment the desired images, which have the same color as the pre-selected pixels with background subtraction. …”
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  15. 15
    Computer-aided acute leukemia blast cells segmentation in peripheral blood images

    Computer-aided acute leukemia blast cells segmentation in peripheral blood images by Madhloom, H.T., Kareem, S.A., Ariffin, H.

    Published 2015
    “…The method also introduces an approach to split overlapping cells using the marker-controlled watershed algorithm based on a new marker selection scheme. …”
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  16. 16
    Adaptive Initial Contour and Partly-Normalization Algorithm for Iris Segmentation of Blurry Iris Images

    Adaptive Initial Contour and Partly-Normalization Algorithm for Iris Segmentation of Blurry Iris Images by Jamaludin, Shahrizan, Mohamad Ayob, Ahmad Faisal, Mohd Norzeli, Syamimi, Mohamed, Saiful Bahri

    Published 2022
    “…The findings revealed that the algorithm outperformed the other active contour-based approaches in computational time and segmentation accuracy. …”
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  17. 17
    OPTIMIZED MIN-MIN TASK SCHEDULING ALGORITHM FOR SCIENTIFIC WORKFLOWS IN A CLOUD ENVIRONMENT

    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. …”
    Review
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  18. 18
    Temporal video segmentation using squared form of Krawtchouk-Tchebichef moments

    Temporal video segmentation using squared form of Krawtchouk-Tchebichef moments by Abdulhussain, Sadiq H.

    Published 2018
    “…In the proposed TVS, a modified candidate segment selection technique is initially employed to determine the candidate segments from the entire video. …”
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  19. 19
    A Reinforced Active Learning Algorithm for Semantic Segmentation in Complex Imaging

    A Reinforced Active Learning Algorithm for Semantic Segmentation in Complex Imaging by Usmani, U.A., Watada, J., Jaafar, J., Aziz, I.A., Roy, A.

    Published 2021
    “…The decision on the area of selection is dependent on the assumptions and segmentation model uncertainties taken for training purposes. …”
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  20. 20
    Multilevel Thresholding for segmentation of pigmented skin lesions

    Multilevel Thresholding for segmentation of pigmented skin lesions by Humayun, Jawad, Malik, Aamir Saeed, Kamel , Nidal

    Published 2011
    “…Our algorithm is able to divide image into multiple classes based on intensity level with optimized selection of threshold values. …”
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