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

Traditional diagnostic methods have shortcomings in accuracy and robustness. Methods: Therefore, the study integrates variational autoencoders with long short-term memory network models, enhances them ...

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 ...

While it is working just fine with client v4.x, in version v5.x it gives a type error: Node.js Version 22.16.0 Redis Server Version N/A Node Redis Version 5.6.0 Platform MacOS Logs ValorHeart added ...

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 ...