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    Classification of ECG signals using deep neural networks by Nadour Mohamed, Cherroun Lakhmissi, Hadroug Nadji

    Published 2023-06-01
    “…To achieve this classification, 2D Scalogram images obtained through the continuous wavelet transform (CWT) are utilized as input for the models. The study's findings demonstrate that the GoogleNet, AlexNet and Resnet models achieve an impressive accuracy rate of 96%, 95,33% and 92,66%, in accurately predicting and classifying ECG signals associated with these cardiac conditions, respectively. …”
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    Unsupervised Learning in a Ternary SNN Using STDP by Abhinav Gupta, Sneh Saurabh

    Published 2024-01-01
    “…Further, we show that a pair of dual-pocket Fully-Depleted Silicon-on-Insulator (FD-SOI) MOSFETs can be utilized to generate a current, which reduces exponentially with increasing duration of firing events between pre- and post-synaptic neurons. …”
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