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 ...

Technical Terms Denoising Convolutional Autoencoder: A deep learning framework that reconstructs enhanced, high-resolution signals by removing noise from lower resolution 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 ...

It includes 4 steps and corresponds to 4 key technologies, namely, acquisition of AS signals, denoising of AS signals, feature extraction of AS signals, and decision-making algorithm.