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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
    “…Then canonical Polyadic decomposition-based attribute reduction is applied to the offload-able task to reduce the data size. Enhance hybrid genetic algorithm and particle Swarm optimization are developed to select the optimal device in either fog or cloud. …”
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  2. 2
    Implication of image processing algorithm in remote sensing and GIS applications

    Implication of image processing algorithm in remote sensing and GIS applications by Pathan, Mubeena, Jusoff, Kamaruzaman, Mohd Sood, Alias, Razali, Yaakob, Qureshi, Barkatullah

    Published 2011
    “…This review emphasizes the effects and consumption of different algorithms in different image processing applications. …”
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  3. 3
    Identifying movement of object in multiple images via particle swarm optimization algorithm / Mohd Haidhar Iqbal Hassan

    Identifying movement of object in multiple images via particle swarm optimization algorithm / Mohd Haidhar Iqbal Hassan by Iqbal Hassan, Mohd Haidhar

    Published 2016
    “…Every algorithm or technique has their own process to solve the problem. …”
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  4. 4
    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 the second phase, a classifier ensemble learning model is proposed consisting of separate outputs: (i) To select a relevant subset of original features based on Binary Quantum Gravitational Search Algorithm (QBGSA), (ii) To mine data streams using various data chunks and overcome a failure of single classifiers based on SVM, MLP and K-NN algorithms. …”
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    Thesis
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  5. 5
    UNSUPERVISED SEGMENTATION OF CORAL REEF IMAGES BY USING COLOR AND TEXTURE FEATURES

    UNSUPERVISED SEGMENTATION OF CORAL REEF IMAGES BY USING COLOR AND TEXTURE FEATURES by MOHAMMAD SAMEER ALOUN

    Published 2022
    “…This thesis proposed a modified JSEG algorithm to solve the problem of over segmentation when applying it to underwater coral reef images.…”
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    Thesis
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  6. 6
    Separator Database and SPM Tree Framework for Mining Sequential Patterns Using Prefixspan with Pseudoprojection

    Separator Database and SPM Tree Framework for Mining Sequential Patterns Using Prefixspan with Pseudoprojection by Dhany, Saputra

    Published 2008
    “…The results also show that in Java, A Arraylist is the most suitable choice for storing Object and Arraylnt list is the most suitablec choice for storing integer data. …”
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    Thesis
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  7. 7
    Three Dimension Pixel Distribution Shifting Based Color Correction Method For Digital Images

    Three Dimension Pixel Distribution Shifting Based Color Correction Method For Digital Images by Goh, Jinn Chyn

    Published 2017
    “…This algorithm ensures loss of information does not occur during image enhancement process. …”
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    Monograph
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  8. 8
    Simulated kalman filter (SKF) based image template matching for distance measurement by using stereo vision system

    Simulated kalman filter (SKF) based image template matching for distance measurement by using stereo vision system by Nurnajmin Qasrina Ann, Ayop Azmi

    Published 2018
    “…As reported in literature, conventional algorithm for image template matching such as correlation between two images took very long processing time. …”
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  9. 9
    Separator Database and SPM Tree Framework for Mining Sequential Patterns Using Prefixspan with Pseudoprojection

    Separator Database and SPM Tree Framework for Mining Sequential Patterns Using Prefixspan with Pseudoprojection by Saputra , Dhany, Rambli, Dayang R.A., Foong, Oi Mean

    Published 2008
    “…The results also show that in Java, A Arraylist is the most suitable choice for storing Object and Arraylnt list is the most suitablec choice for storing integer data. …”
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  10. 10
    Inverse problem: comparison between linear back-projection algorithm and filtered back-projection algorithm in soft-field tomography

    Inverse problem: comparison between linear back-projection algorithm and filtered back-projection algorithm in soft-field tomography by Yasmin, Abdul Wahab, Ruzairi, Abdul Rahim, Fazalul, Rahiman, Suzzana, Ridzuan Aw, Fazlul Rahman, Mohd Yunus, Jaysuman, Pusppanathan, Nor Muzakkir , Nor Ayob, Leow, Pei Ling

    Published 2017
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  11. 11
    Features selection for intrusion detection system using hybridize PSO-SVM

    Features selection for intrusion detection system using hybridize PSO-SVM by Tabaan, Alaa Abdulrahman

    Published 2016
    “…Genetic algorithm GA had been adopted to perform features selection method; however, this method could not deliver an acceptable detection rate, lower accuracy, and higher false alarm rates. …”
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  12. 12
    Diagonal-Newton Fast Iterative Shrinkage-Thresholding Algorithm for solving linear inverse problems in image restoration

    Diagonal-Newton Fast Iterative Shrinkage-Thresholding Algorithm for solving linear inverse problems in image restoration by Sim, Hong Seng, Goh, Yong Kheng, Chua, Sing Yee, Leong, Wah June

    Published 2025
    “…The Fast Iterative Shrinkage-Thresholding Algorithm (FISTA) is widely used to solve inverse problems arising from various image processing applications. …”
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  13. 13
    The automatic focus segmentation of multi-focus image fusion

    The automatic focus segmentation of multi-focus image fusion by Kamarul Hawari, Ghazali, Ismail, .

    Published 2022
    “…Finally, the Resnet50 model algorithm in multi-focus image fusion can handle the ghost effect problem well.…”
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  14. 14
    Fuzzy modeling of brain tissues in Bayesian segmentation of brain MR images

    Fuzzy modeling of brain tissues in Bayesian segmentation of brain MR images by Farzan, Ali, Ramli, Abdul Rahman, Mashohor, Syamsiah, Mahmud, Rozi

    Published 2010
    “…Hence involving problem specific information and expert knowledge in designing segmentation algorithms seems to be useful. …”
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    Conference or Workshop Item
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  15. 15
    Reducing of Inconsistent Data using Fuzzy Multi Attribute Decision Making for Accessing Data from Database

    Reducing of Inconsistent Data using Fuzzy Multi Attribute Decision Making for Accessing Data from Database by Yusof, Mohd Kamir, Abdul Rahman, Mohd Nordin, Azlan, Atiqah

    Published 2013
    “…Sample data was selected for experiments purposes. The result indicates fuzzy multi attribute decision making is a suitable technique in reducing inconsistent data from database. …”
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  16. 16
    Character classification for license plate recognition system based on image processing using MATLAB

    Character classification for license plate recognition system based on image processing using MATLAB by Hashim, Mustafa Adil

    Published 2016
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  17. 17
    Nonlinear Local-pixel-shifting Color Constancy Algorithm

    Nonlinear Local-pixel-shifting Color Constancy Algorithm by Wan Muhammad Syahrir, Wan Hussin, Mohd Naim, Mohd Jain Noordin, Nor Ashidi, Mat Isa

    Published 2018
    “…Most color constancy algorithms implement a color correction process that performs globally for the entire input pixel image. …”
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  18. 18
    Enhancement of parallel thinning algorithm for handwritten characters using neural network

    Enhancement of parallel thinning algorithm for handwritten characters using neural network by Engkamat, Adeline

    Published 2005
    “…It also works faster than Parker thinning algorithm but it cannot deals with the necking problem. …”
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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
    “…De-noising can be generally defined as removing noise in image. 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. …”
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  20. 20
    Image Analysis of Sludge Aggregates in Palm Oil Mill Effluent (POME)

    Image Analysis of Sludge Aggregates in Palm Oil Mill Effluent (POME) by Rizal Song, Ian Norman

    Published 2015
    “…By conducting this research, image analysis algorithm can be developed to monitor sludge aggregates in POME. …”
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    Final Year Project
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