Tag: Transformer

A new Spatio-Temporal Graph Transformer model predicts urban traffic speeds across multiple horizons by integrating fixed road network structures with ...

A twelve-year empirical study of China's A-share equity market shows that deep learning models such as LSTMs and Transformers outperform ...

Researchers found that incorporating short-term temporal signal history improves surface electromyography recognition of static American Sign Language gestures while identifying ...

A study evaluating XAI on live honeypot telemetry found that tree-based models provide more faithful explanations for intrusion detection than ...

A new pose-guided transformer framework achieves 96.28% accuracy in recognizing tennis strokes from single frames by integrating cross-scale attention and ...

A new GCN-Transformer framework analyzes synthetic sports sensor data to model team coordination and temporal stability with high classification accuracy.

By visualizing the internal mechanisms of the networks, the team shows that Transformers do not merely act as black boxes ...

A retrospective dual-center study evaluated a prescription-aware diffusion Transformer framework for predicting radiation dose distributions in simultaneous integrated boost esophageal ...

Researchers have developed a hybrid deep learning pipeline that automates character transcription and diacritic restoration for fragile historical Tamil palm ...

Researchers have introduced a physics-guided graph transformer framework that combines convolutional features, transformer attention, and graph topology for automated multimodal ...