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  1. 1
    Initialization Methods For Conventional Fuzzy C-Means And Its Application Towards Colour Image Segmentation

    Initialization Methods For Conventional Fuzzy C-Means And Its Application Towards Colour Image Segmentation by Tan , Khang Siang

    Published 2011
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  2. 2
    Enhanced segment particle swarm optimization for large-scale kinetic parameter estimation of escherichia coli network model

    Enhanced segment particle swarm optimization for large-scale kinetic parameter estimation of escherichia coli network model by Mohammed Adam, Kunna Azrag

    Published 2021
    “…In this regard, a Local Sensitivity Analysis, Segment Particle Swarm Optimization (Se-PSO) algorithm, and the Enhanced Segment Particle Swarm Optimization (ESe-PSO) algorithm was adapted and proposed to estimate the parameters. …”
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  3. 3
    Non-invasive gliomas grading using swarm intelligence algorithm / Muhammad Harith Ramli

    Non-invasive gliomas grading using swarm intelligence algorithm / Muhammad Harith Ramli by Ramli, Muhammad Harith

    Published 2017
    “…From the testing conducted, it shows that Bat algorithm produced moderate performance towards gliomas grading and segmentation. …”
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  4. 4
    Towards a Malay derivational lexicon: learning affixes using expectation maximization

    Towards a Malay derivational lexicon: learning affixes using expectation maximization by Sulaiman, Suriani, Gasser, Michael, Kubler, Sandra

    Published 2011
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  5. 5
    Exploring Edge-Based Segmentation Towards Automated Skin Lesion Diagnosis

    Exploring Edge-Based Segmentation Towards Automated Skin Lesion Diagnosis by Lau, Hui Keng, Chang, Jia Woei, Norhayati Daut, Asni Tahir, Erdah Samino, Mohd Hanafi Bin Ahmad Hijazi

    Published 2018
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  6. 6
    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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  7. 7
    Acltshe-Amts: A New Adaptive Brain Tumour Enhancement And Segmentation Approaches

    Acltshe-Amts: A New Adaptive Brain Tumour Enhancement And Segmentation Approaches by Alkhafaji, Ali Fawzi Mohammed Ali

    Published 2024
    “…Multilevel thresholding is one of the prominent approaches used for brain image segmentation. Currently, when applying multilevel thresholding for brain tumor segmentation, two important problems must be carefully addressed. …”
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  8. 8
    Application of shuffled frog leaping algorithm for economic dispatch with multiple fuel options / Muhammad Akif Abu Bakar

    Application of shuffled frog leaping algorithm for economic dispatch with multiple fuel options / Muhammad Akif Abu Bakar by Abu Bakar, Muhammad Akif

    Published 2016
    “…This thesis discusses about an alternative approach towards solving economic dispatch problem with multiple fuel options using shuffled frog leaping algorithm (SFLA). …”
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  9. 9
    A detailed description on unsupervised heterogeneous anomaly based intrusion detection framework

    A detailed description on unsupervised heterogeneous anomaly based intrusion detection framework by Udzir, Nur Izura, Hajamydeen, Asif Iqbal

    Published 2019
    “…As each segment is instrumented for a particular undertaking towards a definitive objective, the commitment of each segment towards abnormality recognition is estimated with various execution measurements. …”
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  10. 10
    Adaptive abdominal fat and liver segmentation of ct scan images for abdominal fat-fatty liver correlation

    Adaptive abdominal fat and liver segmentation of ct scan images for abdominal fat-fatty liver correlation by Mharrib, Ahmed M.

    Published 2012
    “…Adaptive methods for abdominal fat segmentation and human liver segmentation using CT images are proposed. …”
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  11. 11
    Fire Detection Algorithm using Image Processing Techniques

    Fire Detection Algorithm using Image Processing Techniques by Poobalan, Kumarguru, Liew, Siau-Chuin

    Published 2015
    “…The algorithm uses RGB colour model to detect the colour of the fire which is mainly comprehended by the intensity of the component R which is red colour. …”
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  12. 12
    An object-based approach to detect tree stumps in a selective logging area using Unmanned Aerial Vehicle imagery

    An object-based approach to detect tree stumps in a selective logging area using Unmanned Aerial Vehicle imagery by Aisyah Marliza Muhmad Kamarulzaman, Wan Shafrina Wan Mohd Jaafar, Siti Nor Maizah Saad, Hamdan Omar, Mohd. Rizaludin Mahmud

    Published 2021
    “…This research implemented a technique for detecting, segmenting, classifying, and measuring tree stumps by using the Multiresolution Segmentation Algorithm method. …”
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  13. 13
    MELODY TRAINING WITH SEGMENT-BASED TILT CONTOUR FOR QURANIC TARANNUM

    MELODY TRAINING WITH SEGMENT-BASED TILT CONTOUR FOR QURANIC TARANNUM by Hanum, H.M., Abas, L.H.M., Aziz, A.S., Bakar, Z.A., Diah, N.M., Ahmad, W.F.W., Ali, N.M., Zamin, N.

    Published 2021
    “…The samples are pre-processed into segmented tarannum verse-contours using pitch sequences. …”
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  14. 14
    Improvement of horizontal streak on disparity map thru parameter optimization for stereo vision algorithm

    Improvement of horizontal streak on disparity map thru parameter optimization for stereo vision algorithm by Gan, Melvin Yeou Wei, Hamzah, Rostam Affendi, Nik Anwar, Nik Syahrim, Herman, Adi Irwan, Jamil Alsayaydeh, Jamil Abedalrahim

    Published 2024
    “…Next, the cost aggregation uses minimum spanning tree (MST) segmentation, which equipped with edge preserving properties and noise filtering. …”
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  15. 15
    Photogrammetric unmanned aerial vehicle for digital terrain model estimation under oil palm tree canopy area / Suzanah Abdullah

    Photogrammetric unmanned aerial vehicle for digital terrain model estimation under oil palm tree canopy area / Suzanah Abdullah by Abdullah, Suzanah

    Published 2021
    “…The experiments were performed in both simulation and real site studies based on four algorithms namely inverse watershed segmentation (IWS), object-based image analysis (OBIA), watershed segmentation (WS) and seed generation (SG). …”
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  16. 16
    Customer profiling and segmentation of starbucks Malaysia: Empirical investigation during CMCO 2.0

    Customer profiling and segmentation of starbucks Malaysia: Empirical investigation during CMCO 2.0 by Kamaruzzaman, Zetty Ain

    Published 2022
    “…In this paper, k-means clustering algorithm is used to segment the customers of Starbucks Malaysia according to their income and spend data. …”
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  17. 17
    A NOVEL FORWARD BACKWARD LINEAR PREDICTION ALGORITHM FOR SHORT TERM POWER LOAD FORECAST

    A NOVEL FORWARD BACKWARD LINEAR PREDICTION ALGORITHM FOR SHORT TERM POWER LOAD FORECAST by BAHARUDIN, ZUHAIRI

    Published 2010
    “…In addition to the parametric algorithms, the comparison is extended towards artificial neural networks (ANN). …”
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  18. 18
    A Novel Pixel Counting Technique to Assess the Volumetric Changes in Human Brain Morphology

    A Novel Pixel Counting Technique to Assess the Volumetric Changes in Human Brain Morphology by K., Nithyakalyani, R., Kalpana, S., Sudhakar, N., Vigneswaran

    Published 2015
    “…The clustering technique pursued includes the traditional K-means and fuzzy Cmeans algorithm by considering the Euclidean distance metric toward grouping of entities of similar pattern vectors. …”
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  19. 19
    New Distance Measures for Arabic Handwritten Text Recognition

    New Distance Measures for Arabic Handwritten Text Recognition by El-Bashir, Mohammad Said Mansur

    Published 2008
    “…The recognition step is performed by applying the nearest neighbor algorithm. Four different distance measures are used with the nearest neighbor, the first norm, second norm (Euclidean), and two new norms proposed called ENorm, EEuclidean. …”
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  20. 20
    Malaysia residential load profile management based on time of use tariff using ant colony optimization algorithm

    Malaysia residential load profile management based on time of use tariff using ant colony optimization algorithm by Dahlan, Nofri Yenita, Sulaima, Mohamad Fani, Wan Hanapi, Wan Noor Azzyati, Noor Din, Muhamad Muhtazam

    Published 2022
    “…For those reasons, the government has introduced Demand Side Management (DSM) as a programme to promote balanced energy use between energy generation and demand. However, such an energy management policy is usually geared towards industrial and commercial consumers’ but rarely towards residential consumers. …”
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