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  1. 1
    3D silhouette rendering algorithms using vectorisation technique from Kedah topography map

    3D silhouette rendering algorithms using vectorisation technique from Kedah topography map by Che Mat, Ruzinoor, Nordin, Norani

    Published 2004
    “…The vectorisation software has been used for producing these data. …”
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    Conference or Workshop Item
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  2. 2
    Design Of Feature Selection Methods For Hand Movement Classification Based On Electromyography Signals

    Design Of Feature Selection Methods For Hand Movement Classification Based On Electromyography Signals by Too, Jing Wei

    Published 2020
    “…The second method is called the Modified Binary Tree Growth Algorithm (MBTGA) that applies swap, crossover, and mutation operators. …”
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  3. 3
    EMG Feature Selection And Classification Using A Pbest-Guide Binary Particle Swarm Optimization

    EMG Feature Selection And Classification Using A Pbest-Guide Binary Particle Swarm Optimization by Too, Jing Wei, Tee, Wei Hown, Abdullah, Abdul Rahim, Mohd Saad, Norhashimah

    Published 2019
    “…In order to measure the effectiveness of PBPSO, binary particle swarm optimization (BPSO), genetic algorithm (GA), modified binary tree growth algorithm (MBTGA), and binary differential evolution (BDE) were used for performance comparison. …”
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  4. 4
    A DNA-dynamic permutation-diffusion algorithm for image encryption using scaling chaotification models and advanced DNA operations

    A DNA-dynamic permutation-diffusion algorithm for image encryption using scaling chaotification models and advanced DNA operations by Alkawsi, Gamal, Khairullah, Mustafa Kamil, Baharuddin, Mohd Zafri, Thabit, Reema, Alomari, Mohammad Ahmed, A. Saif, Faten

    Published 2025
    “…To evaluate the proposed algorithm, extensive experiments have been conducted, and results have been compared with the latest encryption algorithms. …”
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  5. 5
    An Automated System For Classifying Conference Papers

    An Automated System For Classifying Conference Papers by Ngan, Seon Choon Han

    Published 2021
    “…The Knowledge Discovery in Databases (KDD) process was followed as a formal data mining methodology where 1000 AI conference papers were carefully collected, pre-processed and transformed to numerical representations through TF-IDF vectorisation. A randomised stratified 5- fold cross validation was then applied on several data mining algorithms and evaluated using the F-measure as a metric. …”
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