Abstract: Froth image features serve as crucial reference indicators for optimizing productivity under complex flotation process conditions. However, due to the instability of the production ...
Abstract: This work investigates ECG arrhythmia classification using two-dimensional convolutional neural networks (2D CNNs) applied to wavelet-based time–frequency representations. Three CNN ...
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