Abstract: Magnetic resonance imaging (MRI) is an important tool for brain cancer diagnosis and classification. Combined with modern convolutional neural network (CNN) technology, it can effectively ...
Abstract: Malware classification m ethods a re o ften costly, requiring constant retraining and large amounts of computing power in order to support large models that analyze software in numerous ways ...
Abstract: Hyperspectral image (HSI) classification plays a key role in remote sensing applications such as land cover mapping and environmental monitoring. Mamba is a state-space-based model that has ...
The Trump administration’s cancellation of the largest solar project in the United States has sparked confusion and concern among Republicans and Democrats alike. Known as the Esmeralda 7, the ...
Abstract: Domain adaptation (DA)-based cross-domain hyperspectral image (HSI) classification methods have garnered significant attention. The majority of DA techniques utilize models based on ...
Abstract: In recent years, uncrewed aerial vehicle (UAV) technology has shown great potential for application in hyperspectral image (HSI) classification tasks due to its advantages of flexible ...
Abstract: Few-shot learning has garnered increasing attention in hyperspectral image classification (HSIC) due to its potential to reduce dependency on labor-intensive and costly labeled data. However ...
A version of this story appeared in CNN’s What Matters newsletter. To get it in your inbox, sign up for free here. They’re questions that could be asked of any number of President Donald Trump’s ...
Users in the US can now shop for products using natural language descriptions and reference images. Users in the US can now shop for products using natural language descriptions and reference images ...
Abstract: The evolution of landscapes has opened the opportunity to utilize previously unused land for various purposes, such as agriculture and urban development. This approach promotes sustainable ...