Predicts velocity and pressure fields for various Reynolds numbers. Integrates CAE for dimensionality reduction and reconstruction. Uses LSTM to capture temporal dynamics for short-term predictions.

Discover how to transform your supply chain operations to embrace the circular economy model with insights from experts at ...

Abstract: Traffic flow prediction plays a crucial role in Intelligent Transportation Systems (ITS), as it substantially enhances traffic management efficiency, alleviates congestion, and improves road ...

Abstract: Traffic flow prediction is a key step to realizing the effective guidance and control of intelligent transportation systems. For using the short-term non-stationarity and spatio-temporal ...

The circular flow model is a simplified representation of the economy, showing the interactions between households and firms in two key markets: the market for goods and services and the market for ...