Hasil Pencarian - Norhashimah Mohd Saad

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  1. 1
    Hybrid Binary Particle Swarm Optimization Differential Evolution-Based Feature Selection for EMG Signals Classification

    Hybrid Binary Particle Swarm Optimization Differential Evolution-Based Feature Selection for EMG Signals Classification oleh Jingwei Too, Abdul Rahim Abdullah, Norhashimah Mohd Saad

    Diterbitkan 2019-07-01
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  2. 2
    A New Co-Evolution Binary Particle Swarm Optimization with Multiple Inertia Weight Strategy for Feature Selection

    A New Co-Evolution Binary Particle Swarm Optimization with Multiple Inertia Weight Strategy for Feature Selection oleh Jingwei Too, Abdul Rahim Abdullah, Norhashimah Mohd Saad

    Diterbitkan 2019-05-01
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  3. 3
    Binary Competitive Swarm Optimizer Approaches for Feature Selection

    Binary Competitive Swarm Optimizer Approaches for Feature Selection oleh Jingwei Too, Abdul Rahim Abdullah, Norhashimah Mohd Saad

    Diterbitkan 2019-06-01
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  4. 4
    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 oleh Jingwei Too, Abdul Rahim Abdullah, Norhashimah Mohd Saad, Weihown Tee

    Diterbitkan 2019-02-01
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  5. 5
    Feature Selection Based on Binary Tree Growth Algorithm for the Classification of Myoelectric Signals

    Feature Selection Based on Binary Tree Growth Algorithm for the Classification of Myoelectric Signals oleh Jingwei Too, Abdul Rahim Abdullah, Norhashimah Mohd Saad, Nursabillilah Mohd Ali

    Diterbitkan 2018-12-01
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  6. 6
    A New Competitive Binary Grey Wolf Optimizer to Solve the Feature Selection Problem in EMG Signals Classification

    A New Competitive Binary Grey Wolf Optimizer to Solve the Feature Selection Problem in EMG Signals Classification oleh Jingwei Too, Abdul Rahim Abdullah, Norhashimah Mohd Saad, Nursabillilah Mohd Ali, Weihown Tee

    Diterbitkan 2018-11-01
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  7. 7
    Automated Classification of Collateral Circulation for Ischemic Stroke in Cone-Beam CT Images Using VGG11: A Deep Learning Approach

    Automated Classification of Collateral Circulation for Ischemic Stroke in Cone-Beam CT Images Using VGG11: A Deep Learning Approach oleh Nur Hasanah Ali, Abdul Rahim Abdullah, Norhashimah Mohd Saad, Ahmad Sobri Muda, Ervina Efzan Mhd Noor

    Diterbitkan 2024-07-01
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