We have used Support Vector Regression and Random Forest Regression to predict traffic or congestion.

The project aims to develop models that can forecast traffic congestion, aiding in effective traffic management and planning.

This project presents a novel hybrid algorithm that combines the power of a deep neural network (DNN) with a random forest regressor (RFR) to effectively enhance PID tasks within the experiment.

Enhancing GPS Positioning Accuracy Using Machine Learning

rAthena is an open-source cross-platform MMORPG server.