IEEE

Dynamic Spatial-Temporal Graph Convolutional Neural Networks Approach for Active Mode Traffic Prediction

Abstract: Accurate short-term predictions of active mode traffic are crucial for effective urban traffic control and management, helping to reduce delays, stops, and improve travel time reliability, ...

Using bent light to map complex planetary architectures

With new technologies comes new discoveries. Or so Spider Man's Uncle Ben might have said if he was an astronomer. Or a ...

Interpretable neural networks help reveal the nature of dark matter

A research team from the Xinjiang Astronomical Observatory (XAO) of the Chinese Academy of Sciences has developed an ...
IEEE

Spatial-Spectral Contrastive Graph Neural Network for Few-Shot Hyperspectral Image Classification

Abstract: Graph Neural Networks (GNNs) have emerged as a promising solution for few-shot hyperspectral image (HSI) classification. However, existing GNN-based approaches face critical limitations in ...
Nanowerk

Twisted graphene unlocks thermal sensing with built-in logic

Twisted graphene heterostructures detect temperature with 99% accuracy, reduce thermal image errors by 46%, and execute logic ...