In the initial stage, endmember extraction and abundance map estimation are carried out using a convolutional autoencoder. An elliptical kernel is then applied to compute spectral distances and ...

Subsequently, we delve into the current mainstream deep learning methods, including Autoencoder, Generative Adversarial Networks (GANs) and Convolutional Neural Networks (CNNs), and their applications ...

Mind-wandering reflects a dynamic interplay between focused attention and off-task mental states ... processes of continuous sensory sequences using our previously proposed variational RNN model under ...

Methods: This study integrates rainfall, surface displacement, and vertical displacement monitoring data, and proposes an automatic failure mode identification method based on deep convolutional ...