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    1
    Development of Smart Toothbrush App Software with Automatic Recognition of Toothbrushing Region based on Personalized Machine Learning Models

    2
    Solving Inverse Electrocardiographic Mapping Using Machine learning and Deep Learning Frameworks

    3
    Development of a Deep Learning Gait Classification Algorithmic Using Time-Frequency Features and Its Verification on Neuro-Degenerative Diseases’ Gait Classification

    4
    Development of a SMOTE-based Sleep Apnea/Hypopnea Event Classification Algorithm using Electrocardiogram Spectrogram and DWT coefficients with Machine Learning/Deep Learning Approaches

    5
    Research on Recognizing the Visual Field Clarity during Surgery based on Deep Learning Algorithms and using it to Adjust the Pressure of the Shoulder Arthroscopy Irrigation Pump

    6
    Development of an Oversampling Framework based on Sliding Window Method for CNN-based Sleep Recognition Algorithm via PSG Spectrogram Fusion
    This full text is not authorized to be published.AA

    7
    Development of an over/under sampling framework for CNN-based sleep recognition algorithm via PSG spectrogram fusion

    8
    Development of Smart Toothbrush with Automatic Recognition of Toothbrushing Region based on Personalized Machine Learning Model
    This full text is not authorized to be published.AA

    9
    Development of an AI-based Sleep Apnea Detection Algorithm based on a Time-Frequency Spectrogram of an ECG Signal

    10
    Development of an AI-based Arrhythmia and Structural Heart Disease Classification Algorithm based on Pulse AudioGram
    This full text is not authorized to be published.AA
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