Abstract: Traditional manual methods can no longer meet the needs of analyzing the increasing number of literary works, and most existing sentiment analysis technologies are limited to simple ...

Researchers explore quantum machine learning to detect financial risk faster in high-frequency trading, achieving promising accuracy in experimental models.

Abstract: This study proposes an image-text multimodal classification algorithm based on a combination of convolutional neural networks (CNN) and Transformer, aiming to solve the key problems in ...