Tag: temporal modeling

Researchers introduced Speed-Invariant Phase Normalization to eliminate temporal distortions and improve hand gesture recognition in graph convolutional networks.

A narrative review traces how deep-learning architectures for surgical video evolved from recurrent networks to transformers while confronting latency, fusion ...

A unified taxonomy of long-term forecasting models shows that channel-independent designs excel on simple benchmarks while channel-dependent designs gain an ...

A lightweight CNN-LSTM framework classifies negative, neutral, and positive sentiment from live video at 84.89 percent accuracy on RAVDESS, outperforming ...

A new open-access study combines Transformer temporal encoding with proximal policy optimization to personalize long-term digital psychological interventions, reporting significantly ...

A hybrid model combining bidirectional deep learning, attention and fuzzy reasoning reported 98.8% accuracy on a 2,500-observation macro-financial policy dataset ...

Researchers have developed a hierarchical temporal graph network that predicts student academic outcomes with high accuracy while using gradient-based attribution ...

Researchers have developed E-GTNet, a hybrid graph neural network that detects and visualizes evolving illicit Bitcoin transaction networks using edge-aware ...