Firecrawl redefines web data acquisition for the AI era, offering developers an enterprise-grade tool kit that abstracts away ...

Abstract: Cross-scene classification of hyperspectral images (HSI) aims to classify target domain ... This paper proposes a novel framework for cross-scene HSI classification, termed Data ...

Leading Republicans in the House of Representatives have formally introduced their latest version of the bill to establish a regulatory structure for digital assets markets, something the industry ...

begins with raw data. It is first ingested, then structures or schemas are built on top of the data once it has been read. Governance rules, policies, and quality controls are also added to the ...

Abstract: Recently, few-shot learning (FSL) has shown promising results in the hyperspectral image (HSI) classification. However, in practical applications, insufficiently labeled training data make ...

Variance is a measurement of dispersion across a data set, comparing the difference between every other number in the set. Variance is a statistical measurement of how large of a spread there is ...

This project demonstrates how to build, train, and evaluate a Convolutional Neural Network (CNN) for image classification using the CIFAR-10 dataset. The implementation leverages TensorFlow and Keras ...

An HSI depicts a specific scene at several (L) narrow continuous spectral bands (actually, they visualize the reflectance of the depicted scene in various spectral bands). It can be represented by a ...