Search Results - (( java simulation optimization algorithm ) OR ( quality segmentation method algorithm ))

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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
    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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  3. 3
    Customer segmentation using clustering techniques / Mohamad Amir Salihin Mustafa

    Customer segmentation using clustering techniques / Mohamad Amir Salihin Mustafa by Mustafa, Mohamad Amir Salihin

    Published 2024
    “…Studying clustering methodologies, creating a K-Means clustering model, and assessing its quality for efficient client segmentation are the main goals. …”
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  4. 4
    A Hybrid Active Contour and Artificial Bee Colony Algorithm for Segmenting Mixed-Meal Food Images (S/O: 13239)

    A Hybrid Active Contour and Artificial Bee Colony Algorithm for Segmenting Mixed-Meal Food Images (S/O: 13239) by Harun, Nor Hazlyna, Mahmuddin, Massudi, Harun, Hazaruddin

    Published 2020
    “…This modified active contour method exhibited significant results with regard to less iteration consumption and segmentation quality compared with the original one…”
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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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  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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  7. 7
    Image enhancement and segmentation on simultaneous latent fingerprint detection

    Image enhancement and segmentation on simultaneous latent fingerprint detection by Rozita, Mohd Yusof

    Published 2015
    “…Segmentation of 240 images is performed and compared with manual segmentation methods. …”
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  8. 8
    Segmenting nodules of lung tomography image with level set algorithm and neural network

    Segmenting nodules of lung tomography image with level set algorithm and neural network by Chong, Soon Yee, Tan, Min Keng, Yeo, Kiam Beng, Mohd Yusof Ibrahim, Hao, Xiaoxi, Teo, Kenneth Tze Kin

    Published 2019
    “…Segmentation technique which is level set method (LSM) is applied to segment the nodule. …”
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  9. 9
    AUTOMATED CERVICAL CELL NUCLEI SEGMENTATION BASED ON MULTILAYER UNSUPERVISED CLUSTERING ALGORITHM AND MORPHOLOGICAL APPROACH

    AUTOMATED CERVICAL CELL NUCLEI SEGMENTATION BASED ON MULTILAYER UNSUPERVISED CLUSTERING ALGORITHM AND MORPHOLOGICAL APPROACH by Khalis Danial Nukman, Khiruddin, Wan Azani, Mustafa, Khairur Rijal, Jamaludin, Khairul Shakir, Ab Rahman, Hiam, Alquran, Syahrul Nizam, Junaini

    Published 2025
    “…The average segmentation score of the 917 images exceeds 90%, highlighting the method's flexibility.…”
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  10. 10
    Comparison of 3S multi-thresolding with fuzzy c-means method

    Comparison of 3S multi-thresolding with fuzzy c-means method by Mortazavi, Daryoush, Mashohor, Syamsiah, Mahmud, Rozi, Jantan, Adznan

    Published 2009
    “…The results show that 3S method produced almost the same segmentation quality or in some occasions better quality than FCM, and the computation time of 3S method is much lower than FCM. …”
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  11. 11
    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
    “…This paper presents a new image segmentation method to extract acute leukemia blast cells in peripheral blood. …”
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  12. 12
    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
    “…This algorithm is used to obtain the best solution or best fitness value from the initial random threshold values, and to evaluate the quality of a solution, correlation function is used. …”
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  13. 13
    Model-based hybrid variational level set method applied to object detection in grey scale images

    Model-based hybrid variational level set method applied to object detection in grey scale images by Wang, Jing

    Published 2024
    “…In industrial inspection, segmentation algorithms detect product defects, cracks, or anomalies for quality control and safety. …”
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  14. 14
    A rule-based image segmentation method and neural network model for classifying fruit in natural environment / Hamirul'aini Hambali

    A rule-based image segmentation method and neural network model for classifying fruit in natural environment / Hamirul'aini Hambali by Hambali, Hamirul'aini

    Published 2015
    “…This method adds separation and inverse processes to the algorithm in order to produce the best segmented images. …”
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  15. 15
    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. …”
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  16. 16
    Latent fingerprint enhancement and segmentation technique based on hybrid edge adaptive DTV model

    Latent fingerprint enhancement and segmentation technique based on hybrid edge adaptive DTV model by Yousef A. Baker, El-Ebiary, Abdilahi, Liban, Abdullah, M.A., Othman A. M., Miaikil, Contreras, Jennifer, Hilles, M.M.

    Published 2021
    “…The aim study of this paper is to propose latent fingerprint enhancement and segmentation based on hybrid model and Chan-Vese method for segmentation , in order to reduce low image quality and increase the accuracy of fingerprint . …”
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  17. 17
    Infrared Image Enhancement and Segmentation for Extracting the Thermal Anomalies in Electrical Equipment

    Infrared Image Enhancement and Segmentation for Extracting the Thermal Anomalies in Electrical Equipment by M. S., Jadin, Soib, Taib

    Published 2012
    “…Experimental results through different segmentation algorithms show that by enhancing the infrared image using the proposed algorithm could improve the segmentation performance. …”
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  18. 18
    Automated visual defect detection using deep learning

    Automated visual defect detection using deep learning by Loh, Xiao

    Published 2022
    “…The main goal of this project is to study and develop various automated defect detection models by utilizing state-of-the-art deep learning segmentation algorithms, including U-Net, Double U-Net, SETR, TransU-Net, TransDAU-Net, CAM and SEAM to perform semantic segmentation in fully supervised and weakly supervised learning manners. …”
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  19. 19
    Denoising histological images for a better colour image segmentation / Sulastri Putit

    Denoising histological images for a better colour image segmentation / Sulastri Putit by Putit, Sulastri

    Published 2013
    “…According to (Pierrick Coupe et.al, 2008), image de-noising is used to improve the accuracy of various image processing algorithms such as registration or segmentation. Generally, the quality of the artifact correction influences performance of the image processing procedure. …”
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  20. 20
    A rule-based image segmentation method and neural network model for classifying fruit in natural environment / Hamirul‘Aini Hambali

    A rule-based image segmentation method and neural network model for classifying fruit in natural environment / Hamirul‘Aini Hambali by Hambali, Hamirul‘Aini

    Published 2016
    “…Therefore, this research has developed three improved methods which are able to segment images acquired in natural environment satisfactorily.The first method is an improved thresholding-based segmentation (TsN), which adds algorithms of inverse process and adjustment on threshold value. …”
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