IEEE

Assessing CNN and Semantic Segmentation Models for Coarse Resolution Satellite Image Classification in Subcontinental Scale Land Cover Mapping

Abstract: Based on studies using high-medium resolution images, convolutional neural networks (CNNs) and semantic segmentation have shown superiority over classical machine learning (ML), particularly ...
IEEE

Hyperspectral Image Compression Using Sampling and Implicit Neural Representations

Abstract: Hyperspectral images record the electromagnetic spectrum, and each hyperspectral pixel often stores hundreds of channels. Consequently, a hyperspectral image contains an order of magnitude ...
GitHub

Medical Image Classification for Disease Diagnosis Using Convolutional Neural Networks

The project titled "Medical Image Classification for Disease Diagnosis Using Convolutional Neural Networks" aims to develop a robust and accurate machine learning model for the automatic ...
SCOTUSblog

Supreme Court allows California to use congressional map benefitting Democrats

The Supreme Court on Wednesday afternoon cleared the way for California to use a new congressional map intended to give Democrats five additional seats in the U.S. House of Representatives. In a ...