G.-Q. Li

Predicting the Multi-Factor Trigger Probability of Major Urban Security Incidents Using the XGBoost Ensemble Algorithm

A multi-factor trigger probability prediction framework based on an improved Extreme Gradient Boosting (XGBoost) algorithm is proposed, which provides a reliable data-driven methodology for risk assessment and adaptive decision support in electromagnetic sensing networks, wireless monitoring systems, and intelligent co...