Abstract: Polarimetric synthetic aperture radar (PolSAR) images hold significant importance in applications such as crop classification. To achieve better classification performance, deep learning ...

Bridging communication gaps between hearing and hearing-impaired individuals is an important challenge in assistive ...

Abstract: For the classification of hyperspectral images (HSIs), most deep learning networks are data-driven and lack the usage of prior knowledge. In this letter, we propose a knowledge graph-guided ...

Density Functional Theory (DFT) is the most widely used electronic structure method for predicting the properties of molecules and materials. Although DFT is, in principle, an exact reformulation of ...

This project implements ResNet-50, a deep convolutional neural network with 50 layers that uses residual connections to enable training of very deep networks. The architecture includes identity ...