These results highlight the potential of the Autoencoder–GCN pipeline as a scalable and reliable solution for AMS structure recognition under real-world constraints.

Figure 5. Minimal information flow tree effectively restrains the accumulation of reconstruction errors. (A) Reconstruction comparisons in the fusion process with MIFT and without MIFT are shown. Both ...

A New Jersey US district court judge withdrew his decision in a biopharma securities case Wednesday after lawyers complained that his opinion contained numerous errors, including made-up quotes and ...

In this paper, we propose a novel Transformer based approach, namely Cross-modal Contrastive Masked AutoEncoder (C2MAE), to Self-Supervised Learning (SSL) on compressed videos. A unified Transformer ...

HONG KONG, July 11, 2025 (EZ Newswire) -- Math Magic has officially launched Hitem3D, the world’s first AI-powered tool for 3D content creation that supports ultra-high-resolution models up to ...