A fault detection method for power conversion circuits using thermal images and a convolutional autoencoder is presented. The autoencoder is trained on thermal images captured from a commercial power ...
Bottleneck Layer,Convolutional Autoencoder,Convolutional Encoder,Convolutional Layers,Convolutional Neural Network,Depigmentation,Face Images,Feature Compression ...
A low-dimensional voice latent space derived from deep learning captures speaker-identity representations in the temporal voice areas and supports reconstruction of voices preserving identity ...
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