Nature

This AI combo could unlock human-level intelligence

Blending ‘old-fashioned’ logic systems with the neural networks that power large language models is one of the hottest trends ...
GitHub

csce585-mlsystems/cae_cylinder

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.
IEEE

Multivariate Machine Learning Model Based on YOLOv8 for Traffic Flow Prediction in Intelligent Transportation Systems

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 ...
GitHub

A project to add flow control and dual boiler PID control to an E61 style espresso machine using an ESP32 microcontroller.

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 ...
IEEE

The Impact of Network Indices Integration on Traffic Flow Imputation Accuracy: A Machine Learning Approach

Abstract: Traffic flow imputation aims to estimate missing flow values within a traffic network. While machine learning methods have been widely applied to this challenge and outperformed conventional ...