Blending ‘old-fashioned’ logic systems with the neural networks that power large language models is one of the hottest trends ...
Abstract: This paper presents an image-based framework for classifying fluid flow regimes into low and high-speed states by utilizing spatially localized texture features combined with machine ...
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.
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 ...
Set up the hardware as per the provided schematics. Flash the firmware onto the ESP32. Connect the sensors and actuators according to the wiring diagram. Power on the system. Use the web interface to ...