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    System setup on jetson nano for smart crowd covid monitoring system by Muhammad Othman, Maliki

    Published 2022
    “…The NVIDIA Jetson Nano was used to prototype a real-world scenario using the Object Detection Algorithm (YOLOv5) and an edge AI application: a smart camera capable of estimating the percentage of people wearing face masks in its field of view. …”
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    Undergraduates Project Papers
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    State-of-charge estimation for lithium-ion batteries with optimized self-supervised transformer deep learning model by Dickson Neoh Tze How, Dr.

    Published 2023
    “…Fortunately, these issues can be addressed with machine learning methods such as deep learning(DL) due to its capacity in modeling highly non-linear phenomena, powerful generalization capability, and fast run-time. …”
    text::Thesis
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    Performance evaluation on quantized weight for convolutional neural network based object detection by Putra, Mohd Hasbullah

    Published 2021
    “…The grid cell parameter value of the system is varied to evaluate its effectiveness and ability in detecting small size objects upon deployment. …”
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    Thesis
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    A Collision Detection Algorithm For Virtual Robot-Centered Flexible Manufacturing Cell by Arshad, Haslina

    Published 2008
    “…This thesis presents a collision detection algorithm for accurate simulation of a virtual flexible manufacturing cell. …”
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    Thesis
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    Propose a New Machine Learning Algorithm based on Cancer Diagnosis by Ali, Mohammed Hasan, Kohbalan, Moorthy, Anad, Mohammed Morad, Mohammed, Mohammed Abdulameer

    Published 2018
    “…In this review, we focus on the current status of machine learning applications in cancer research, also propose a new algorithm Fast Learning Network to work based on cancer research.…”
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    Article
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    A modified generalized RBF model with EM-based learning algorithm for medical applications by Ma, Li Ya, Abdul Rahman, Abdul Wahab, Quek, Chai

    Published 2006
    “…In this paper, we propose a generalized RBF (GRBF) model to reduce the number of basis functions and thus alleviate curse of dimensionality. An EM-based training algorithm is also introduced, which uses fewer parameters compared to some classical supervised learning methods. …”
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    Proceeding Paper
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    Performance of correlational filtering and deep learning based single target tracking algorithms / ZhongMing Liao and Azlan Ismail by ZhongMing, Liao, Ismail, Azlan

    Published 2023
    “…This paper closely follows the tracking framework of target tracking algorithms and discusses in detail the traditional visual target tracking methods, the mainstream single target tracking algorithms based on correlation filtering, and the video single target tracking algorithms based on deep learning. …”
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    Article