Hanbit Choi

Applicability Assessment of XGBoost-Based Prediction of Smoke Layer Arrival Time Using Fire Experiment Data under Different Spatial Configurations

This study investigated the applicability of a machine learning-based approach for predicting smoke layer arrival time using fire experiment data. Experimental datasets obtained from an infinite ceiling space and an underground passageway were used to develop an XGBoost-based prediction model with space type, ceiling h...