Deep learning has been successfully applied in the field of medical diagnosis, and improving the accurate classification of ...

Abstract: Recent advancements in deep neural networks heavily rely on large-scale labeled datasets. However, acquiring annotations for large datasets can be challenging due to annotation constraints.

Abstract: Traditional investment efficiency evaluation methods have problems such as low accuracy, slow response speed, and static analysis in terms of multi-dimensional feature processing, dynamic ...

Democratic lawmakers and California’s attorney general expressed deep skepticism about Paramount Skydance’s potential takeover of Warner Bros. Discovery after Netflix abruptly pulled out of the ...

High-resolution magnetic resonance vessel wall imaging (HR-VWI) is an advanced MR imaging technique that can directly visualize intracranial vessel walls and detect subtle pathological changes. HR-VWI ...

Abstract: The prediction of smart grid (SG) stability holds essential importance for ensuring reliable grid operation under changing unpredictable conditions. The accurate prediction of grid stability ...

This has been a big week in the long-running — and still very much not-over — saga of the Jeffrey Epstein files. That’s because we’ve begun to learn more about the Justice Department’s controversial ...

AI systems are far better than people at spotting deepfake images, but when it comes to deepfake videos, humans may still have the edge. That’s the surprising twist from a new study that pits people ...

There is nothing like the excitement of a rocket launch. I’ll never forget the feeling of being at NASA’s Kennedy Space Center in Florida for the highly anticipated liftoff of the uncrewed Artemis I ...

Abstract: To tackle the challenge of data diversity in sentiment analysis and improve the accuracy and generalization ability of sentiment analysis, this study first cleans, denoises, and standardizes ...