Drone Ad-hoc Networks operate in dynamic tactical environments, making them highly vulnerable to communication disruption attacks such as jamming. Conventional threshold-based detection methods are inherently reactive, ...

This study proposes an iterative multi-task hybrid deep learning architecture for MRI-based brain disease detection. The proposed framework addresses the limited ability of conventional convolutional neural networks (CNNs) ...

Online product reviews are often short, written in multiple languages, and filled with emojis. While emojis carry strong emotional meaning, most traditional sentiment analysis models ignore them, leading to the omission ...

In this article, we introduce an intelligent accounting analytics system built upon an approach of multi-source data integration and Power BI that can help overcome the limitations of accounting data processing in the ...

With the rapid diffusion of DeepSeek in higher education, Chinese college students’ usage frequency of this tool has been steadily increasing. However, the underlying adoption mechanisms remain insufficiently explored. To ...

.

.

.

.

.