Search Results - Shapiai, M.I.

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  1. 1
    Data trustworthiness in Internet of Things: A taxonomy and future directions

    Data trustworthiness in Internet of Things: A taxonomy and future directions by Haron, N., Jaafar, J., Aziz, I.A., Hassan, M.H., Shapiai, M.I.

    Published 2018
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  2. 2
    DR-Net with Convolution Neural Network

    DR-Net with Convolution Neural Network by Aujih, A.B., Shapiai, M.I., Meriaudeau, F., Tang, T.B.

    Published 2021
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  3. 3
    EDR-Net: Lightweight Deep Neural Network Architecture for Detecting Referable Diabetic Retinopathy

    EDR-Net: Lightweight Deep Neural Network Architecture for Detecting Referable Diabetic Retinopathy by Aujih, A.B., Shapiai, M.I., Meriaudeau, F., Tang, T.B.

    Published 2022
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  4. 4
    EDR-Net: Lightweight Deep Neural Network Architecture for Detecting Referable Diabetic Retinopathy

    EDR-Net: Lightweight Deep Neural Network Architecture for Detecting Referable Diabetic Retinopathy by Aujih, A.B., Shapiai, M.I., Meriaudeau, F., Tang, T.B.

    Published 2022
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  5. 5
    Feature selection using angle modulated simulated Kalman filter for peak classification of EEG signals

    Feature selection using angle modulated simulated Kalman filter for peak classification of EEG signals by Adam, A., Ibrahim, Z., Mokhtar, N., Shapiai, M.I., Mubin, M., Saad, I.

    Published 2016
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  6. 6
    Evaluation of different time domain peak models using extreme learning machine-based peak detection for EEG signal

    Evaluation of different time domain peak models using extreme learning machine-based peak detection for EEG signal by Adam, A., Ibrahim, Z., Mokhtar, N., Shapiai, M.I., Cumming, P., Mubin, M.

    Published 2016
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  7. 7
    Evaluation of different peak models of eye blink EEG for signal peak detection using artificial neural network

    Evaluation of different peak models of eye blink EEG for signal peak detection using artificial neural network by Adam, A., Ibrahim, Z., Mokhtar, N., Shapiai, M.I., Mubin, M.

    Published 2016
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  8. 8
    Common spatial pattern with feature scaling (FSc-CSP) for motor imagery classification

    Common spatial pattern with feature scaling (FSc-CSP) for motor imagery classification by Prathama, Y.B.H., Shapiai, M.I., Aris, S.A.M., Ibrahim, Z., Jaafar, J., Fauzi, H.

    Published 2017
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