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  1. 1
    Modified Contrast Limited Adaptive Histogram Equalization for high dynamic range images

    Modified Contrast Limited Adaptive Histogram Equalization for high dynamic range images by Tung, Li Qian

    Published 2012
    “…The image was then segmented into smaller parts using pixel-region-based image segmentation method. …”
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  2. 2
    Image segmentation method for boundary detection of breast thermography using random walkers

    Image segmentation method for boundary detection of breast thermography using random walkers by Moghbel, Mehrdad

    Published 2013
    “…Nevertheless the proposed method was able to surpass the highest accuracy reported within the literature. Use of interactive segmentation can further enhance these results dramatically as all the standard images that were not segmented correctly by the automatically method were correctly segmented after the utilization of the interactive mode.…”
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  3. 3
    Framework for stream clustering of trajectories based on temporal micro clustering technique

    Framework for stream clustering of trajectories based on temporal micro clustering technique by Abdulrazzaq, Musaab Riyadh

    Published 2018
    “…The temporal micro cluster data structure is proposed in CC_TRS algorithm to store the summarized information for each group of similar segments. …”
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  4. 4
    A framework of test case prioritisation in regression testing using particle swarm-artificial bee colony algorithm

    A framework of test case prioritisation in regression testing using particle swarm-artificial bee colony algorithm by Ba-Quttayyan, Bakr Salim Abdullah

    Published 2024
    “…This research employed a modified version of the Design Science Research Methodology (DSRM), streamlined into five stages: problem identification, theoretical study, framework development, evaluation, and reporting. …”
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  5. 5
    Development of Hybrid Convolutional Neural Network and Radial Basis Function for Autism Spectrum Disorder Classification

    Development of Hybrid Convolutional Neural Network and Radial Basis Function for Autism Spectrum Disorder Classification by Huey Chern, Lim

    Published 2024
    “…Hence, this study proposed hybrid deep learning algorithms for ASD classification. Two algorithms merged: U-net neural network and Radial Basis Function (RBF) for medical image segmentation. …”
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  6. 6
    Structural crack detection using deep convolutional neural network / Raza Ali

    Structural crack detection using deep convolutional neural network / Raza Ali by Raza , Ali

    Published 2022
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  7. 7
    An ensemble learning method for spam email detection system based on metaheuristic algorithms

    An ensemble learning method for spam email detection system based on metaheuristic algorithms by Behjat, Amir Rajabi

    Published 2015
    “…In order to address the challenges that mentioned above in this study, in the first phase, a novel architecture based on ensemble feature selection techniques include Modified Binary Bat Algorithm (NBBA), Binary Quantum Particle Swarm Optimization (QBPSO) Algorithm and Binary Quantum Gravita tional Search Algorithm (QBGSA) is hybridized with the Multi-layer Perceptron (MLP) classifier in order to select relevant feature subsets and improve classification accuracy. …”
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  8. 8
    Green vehicle traffic routing system using ant-based algorithm

    Green vehicle traffic routing system using ant-based algorithm by Jabbarpour, M.R., Noor, R.M., Khokhar, R.H.

    Published 2015
    “…Hence, in this paper, we present a green VTRS that reduces fuel consumption and consequently CO2 emissions via ant-based algorithm combined with fuel consumption model. This VTRS is an Ant-based Vehicle Congestion Avoidance System (AVCAS) that uses Signalized Intersection Design and Research Aid (SIDRA) fuel consumption and emission model in its vehicle routing procedure. …”
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  9. 9
    An introduction of two differential excitation potentials technique in electrical capacitance tomography

    An introduction of two differential excitation potentials technique in electrical capacitance tomography by Elmy Johana, Mohamad, Dr., Ruzairi, Abdul Rahim, Prof. Dr., Leow, Pei Ling, Dr., Mohd Hafiz Fazalul, Rahiman, Dr., Omar Mohd Faizan, Marwah, Nor Muzakkir, Nor Ayob, Herlina, Abdul Rahim, Dr., Fazlul Rahman, Mohd Yunus

    Published 2013
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  10. 10
    An introduction of two differential excitation potentials technique in electrical capacitance tomography

    An introduction of two differential excitation potentials technique in electrical capacitance tomography by Mohamad, E.J., A. Rahim, R., Leow, P.L., Rahiman, M.H. Fazalul, Marwah, O.M.F., Nor Ayob, N.M., A. Rahim, H., Mohd Yunus, F.R.

    Published 2012
    “…Forward modelling using COMSOL Multiphysics is developed in order to obtain an algorithm to quantify the image reconstruction. …”
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  11. 11
    An introduction of two differential excitation potentials technique in electrical capacitance tomography

    An introduction of two differential excitation potentials technique in electrical capacitance tomography by Mohamad, Elmy Johana, Abdul Rahim, Ruzairi, Leow, Pei Ling, Rahiman, Mohd Hafiz Fazalul, Marwah, Omar Mohd Faizan, Nor Ayob, Nor Muzakkir, Rahim, Herlina Abdul, Mohd Yunus, F.R.

    Published 2012
    “…Forward modelling using COMSOL Multiphysics is developed in order to obtain an algorithm to quantify the image reconstruction. …”
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  12. 12
    Ant-based vehicle congestion avoidance framework using vehicular networks / Mohammad Reza Jabbarpour Sattari

    Ant-based vehicle congestion avoidance framework using vehicular networks / Mohammad Reza Jabbarpour Sattari by Sattari, Mohammad Reza Jabbarpour

    Published 2015
    “…Previous researches concentrated on using static algorithms to find the shortest path in VTRSs. …”
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  13. 13
    Fuzzy-based multi-agent approach for reliability assessment and improvement of power system protection

    Fuzzy-based multi-agent approach for reliability assessment and improvement of power system protection by Nadheer Abdulridha, Shalash

    Published 2015
    “…The second agent is a reliability evaluation agent that uses a recursive algorithm to predict the suitability generator based on the frequency and duration reliability indices in each state while the third agent is the storage and transfer of data between the other two agents. …”
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  14. 14
    Evolutionary cost-cognizant regression test case prioritization for object-oriented programs

    Evolutionary cost-cognizant regression test case prioritization for object-oriented programs by Bello, AbdulKarim

    Published 2019
    “…Afterward evolutionary algorithm (EA) was employed to prioritize test cases based on the rate severity of fault detection per unit test cost. …”
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