Search Results - (( parameters mitigation clustering algorithm ) OR ( zakat distribution model algorithm ))*

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    Enhancement Of Clustering Algorithm Using 3D Euclidean Distance To Improve Network Connectivity In Wireless Sensor Networks For Correlated Node Behaviours by Kalid Abdlkader Marsal Salih

    Published 2024
    “…Thus, this research proposes enhancement on clustering algorithm to mitigate the impact of correlated node behaviour on network performances. …”
    thesis::doctoral thesis
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    Assessments of the data management practices in zakat institutions in Malaysia: a concept paper by Awang Abu Bakar, Normi Sham, Yahya, Norzariyah, Abdullah, Lili Marziana, S. Abd. Aziz, Madihah, Baharuden, Ahmad Fazreen, Rosli, Rozaini, Jumaan, Ibrahim Ali

    Published 2025
    “…This study examines the current state of data management in institutions like Lembaga Zakat Selangor (LZS) and explores how advanced data analytics, including predictive models and machine learning algorithms, can enhance the efficiency of zakat management. …”
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    Proceeding Paper
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    A coalition model for efficient indexing in wireless sensor network with random mobility / Hazem Jihad Ali Badarneh by Hazem Jihad , Ali Badarneh

    Published 2021
    “…The proposed framework aims to improve the indexing packets and mitigate the disseminated data. Static-Coalition algorithm rearranges the packets in each gateway, by source (location attribute). …”
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    Thesis
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    Detection And Identification Of Stiction In Control Valves Based On Fuzzy Clustering Method by Daneshwar, Muhammad Amin

    Published 2016
    “…This modification prevents the fuzzy clustering algorithm from turning into numerical problem. …”
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    Thesis
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    Model-based hybrid variational level set method applied to object detection in grey scale images by Wang, Jing

    Published 2024
    “…To tackle the persistent challenge of segmenting grayscale images with both uneven characteristics and high noise levels, a hybrid level-set algorithm based on kernel metrics is introduced. This algorithm leverages an improved multi-scale mean filter to mitigate grayscale inhomogeneity while reducing the impact of scale parameter selection. …”
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    Thesis