The deep neural network architecture, called a denoising autoencoder, is similar to FlowNet and U-Net and consists of encoder and decoder components to progressively subsample and upsample inputs ...

Researchers in Australia have developed a simplified residual network-based architecture method to filter out noise from electroluminescence images of PV modules. The proposed technique reportedly ...