Abstract: Few-shot hyperspectral image (HSI) classification plays a crucial role in the field of remote sensing with the rapid development of deep learning. However, few-shot HSI classification ...

The Trump administration is targeting one of the world’s most trusted sources of climate and oceanic data—the Ocean Observatories Initiative (OOI). According to the New York Times, ships will be ...

Perioperative outcomes and early survival after curative-intent non–small cell lung cancer (NSCLC) resection in a Colombian tertiary center. Performance of the DLN-based OS prediction model.

Abstract: We leveraged an unsupervised deep learning (DL) network for blind noise attenuation in a massive multi-input multi-output (MIMO) system without prior knowledge or labeled data. Initially, ...

Researchers have developed a new artificial intelligence-based approach for detecting fatty deposits inside coronary arteries using optical coherence tomography (OCT) images. Because these lipid-rich ...

Could a machine outthink the best human mind in the world? Thirty years ago that was still an open question, but a historic matchup between a chess grandmaster and an IBM supercomputer answered it. On ...

A new AI developed at Duke University can uncover simple, readable rules behind extremely complex systems. It studies how systems evolve over time and reduces thousands of variables into compact ...

While synthetic fertilizers are filled with complicated ingredients that most of us can't pronounce, said ingredients may not be as beneficial to the soil in our gardens as much as we'd like to think.

Predicting tropical cyclones (TCs) accurately is crucial for disaster mitigation and public safety. Although the forecasting accuracy of TC tracks has improved substantially in recent decades, ...