The health indicator (HI) of rotating machinery affects the reliability and accuracy of its remaining useful life (RUL) prediction. Convolutional autoencoder (CAE) is widely used for HI construction ...

In this article, we present a new spectral-spatial linear mixture model and an associated estimation method based on a convolutional neural network autoencoder unmixing (CNNAEU). The CNNAEU technique ...

In this paper, the stacked convolutional autoencoder network structure constructed with fusion selection kernel attention mechanism is based on FCAE, which consists of an encoder and a decoder.

2.1.2 Pan-sharpening convolutional autoencoder method To develop the proposed PS method, the CAE network was programmed to enhance the spatial details of the intensity (I) component of the resampled ...

PyTorch implementations of an Undercomplete Autoencoder and a Denoising Autoencoder that learns a lower dimensional latent space representation of images from the MNIST dataset.

Finally, we propose the best configuration and settings for the hyperparameters. The main contributions are summarized as follows: • A convolutional autoencoder model that can perform the endmember ...

PyTorch implementation of Masked AutoEncoder Due to limited resources, I only test my randomly designed ViT-Tiny on the CIFAR10 dataset. It is not my goal to reproduce MAE perfectly, but my ...