Search Results - Saufi, Mohd Syahril Ramadhan bin Mohd

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  1. 1
    Integration of Artificial Neural Network (ANN) in Set-Based Concurrent Engineering (SBCE) for Automotive Front Reinforcement Bumper Design

    Integration of Artificial Neural Network (ANN) in Set-Based Concurrent Engineering (SBCE) for Automotive Front Reinforcement Bumper Design by Shaharudin, Muhammad Syafiq bin, Maulana, Muhd Ikmal Isyraf bin Mohd, Najib, Abdillah Sani bin Mohd, Kadir, Aini Zuhra binti Abdul, Bakar, Saiful Anuar bin Abu, Saufi, Mohd Syahril Ramadhan bin Mohd

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  2. 2
    Gearbox Fault Diagnosis Using a Deep Learning Model With Limited Data Sample

    Gearbox Fault Diagnosis Using a Deep Learning Model With Limited Data Sample by Saufi, Syahril Ramadhan, Ahmad, Zair Asrar Bin, Leong, Mohd Salman, Lim, Meng Hee

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  3. 3
    Challenges and Opportunities of Deep Learning Models for Machinery Fault Detection and Diagnosis: A Review

    Challenges and Opportunities of Deep Learning Models for Machinery Fault Detection and Diagnosis: A Review by Saufi, Syahril Ramadhan, Ahmad, Zair Asrar Bin, Leong, Mohd Salman, Lim, Meng Hee

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  4. 4
    Rotating machinery reliability assessment based on improved extreme learning machine and hippopotamus optimization algorithm

    Rotating machinery reliability assessment based on improved extreme learning machine and hippopotamus optimization algorithm by Isham, Muhammad Firdaus bin, Mohd Kamal, Muhammad Harith, Raheimi, Amirulaminnur, Mohd Saufi, Mohd Syahril Ramadhan, Lim, Meng Hee, Leong, Mohd Salman, Waziralilah, Nur Fathiah

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  5. 5
    Differential evolution optimization for resilient stacked sparse autoencoder and its applications on bearing fault diagnosis

    Differential evolution optimization for resilient stacked sparse autoencoder and its applications on bearing fault diagnosis by Saufi, Syahril Ramadhan, Ahmad, Zair Asrar bin, Leong, Mohd Salman, Lim, Meng Hee

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  6. 6
    Low-Speed Bearing Fault Diagnosis Based on ArSSAE Model Using Acoustic Emission and Vibration Signals

    Low-Speed Bearing Fault Diagnosis Based on ArSSAE Model Using Acoustic Emission and Vibration Signals by Saufi, Syahril Ramadhan, Ahmad, Zair Asrar Bin, Leong, Mohd Salman, Lim, Meng Hee

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