A new artificial intelligence model, PLGMamba, improves hyperspectral image super-resolution by combining local spectral similarity with global ...

ABSTRACT: The nearly analytic discretization of the frequency-domain wave equation produces large-scale, sparse, and ill-conditioned linear system, which challenge conventional iterative solvers. To ...

Abstract: We propose a novel spatiotemporal fusion method based on deep convolutional neural networks (CNNs) under the application background of massive remote sensing data. In the training stage, we ...

A new artificial intelligence model, PLGMamba, improves hyperspectral image super-resolution by combining local spectral ...

Abstract: We propose a deep learning method for single image super-resolution (SR). Our method directly learns an end-to-end mapping between the low/high-resolution images. The mapping is represented ...

This project implements DCGAN (Deep Convolutional GAN) for generating realistic images. The architecture uses convolutional layers in both generator and discriminator networks. It includes batch ...

With what appears to be an extra finger on his right hand and no actual arrow in his bow, the man featured in the Department of Energy and Environmental Protection‘s Facebook post did not look like ...

The significant contributions of this work are threefold. First, it leverages deep learning to extend in vivo imaging depth of two-photon excitation fluorescence microscopy, far beyond the depths ...