Government procurement contracts can be complicated, with extensive risk analysis and compliance reviews. The traditional ...

However, effectively integrating semantic understanding into 3DGS in a generalizable way remains a challenge. To overcome these bottlenecks, we introduce SceneSplat, the first end-to-end large-scale ...

By using explainable AI, the study identifies not only which skills define each cluster but also the relative importance of these skills in classification decisions. This level of interpretability ...

The Next Gen Stats analytics team explains new advanced metrics for the 2025 NFL season, including Coverage Responsibility ...

In the multi-modal emotion recognition scenario, Zhu et al. (2020) proposed a sentiment analysis model based on improved ResNet to analyze and improve the accuracy of image emotion classification.

Multi-label text classification (MLTC) assigns multiple relevant labels to a text. While deep learning models have achieved state-of-the-art results in this area, they require large amounts of labeled ...

Accurate and automated sound classification enables a strong groundwork for diverse advanced deep learning applications within the audio and music domain. This study focuses on the application of ...