Demand prediction plays a critical role in traffic research. The key challenge of traffic demand prediction lies in modeling the complex spatial dependencies and temporal dynamics. However, there is ...

A new study published in Big Earth Data demonstrates that integrating Twitter data with deep learning techniques can ...

AI-generated deception is best detected not by examining isolated data points, but by analyzing how content behaves over time ...

A research team has introduced a lightweight artificial intelligence method that accurately identifies wheat growth stages from a single field image.

Crop nutrition and quality formation are complex processes influenced by genotype, environment, and management practices. Remote sensing and proximal ...

Spatiotemporal Evolution Patterns and Intelligent Forecasting of Passenger Flow in Megacity High-Speed Rail Hubs: A Case ...

By transferring temporal knowledge from complex time-series models to a compact model through knowledge distillation and attention mechanisms, the ...

In order to understand currents, tides and other ocean dynamics, scientists need to accurately capture sea surface height, or ...