A variational autoencoder (VAE) is a deep neural system that can be used to generate synthetic data. VAEs share some architectural similarities with regular neural autoencoders (AEs) but an AE is not ...

To overcome these limitations, the researchers implemented a deep learning approach using a Convolutional Variational Autoencoder (VAE) for compressing Ca II (8542 Å) spectral data. Their method ...

Next, Dear-DIA uses a variational autoencoder to extract the peak features ... Dear-DIA uses a convolutional neural network to recalculate the peak shape similarity of fragments in the same ...