Gi-Wook Cha

Comparison of Random Forest and Gradient Boosting Machine Models for Predicting Demolition Waste Based on Small Datasets and Categorical Variables

Gi-Wook Cha, Hyeun-Jun Moon, Young‐Chan Kim · International Journal of Environmental Research and Public Health · 2021 · 146 citations · Full text

Computing, Computer Science, Environmental Engineering +17

An estimation framework for building information modeling (BIM)-based demolition waste by type

Young-Chan Kim, Won‐Hwa Hong, Jae‐Woo Park et al. · Waste Management & Research The Journal for a Sustainable Circular Economy · 2017 · 97 citations

Management, Construction Management, Environmental Engineering +17

Development of a Prediction Model for Demolition Waste Generation Using a Random Forest Algorithm Based on Small DataSets

Gi-Wook Cha, Hyeun Jun Moon, Young‐Min Kim et al. · International Journal of Environmental Research and Public Health · 2020 · 87 citations · Full text

Computing, Environmental Engineering, Machine Learning +16

A hybrid machine-learning model for predicting the waste generation rate of building demolition projects

Gi-Wook Cha, Hyeun Jun Moon, Young‐Chan Kim · Journal of Cleaner Production · 2022 · 63 citations

Management, Construction Management, Environmental Engineering +16

New approach for forecasting demolition waste generation using chi-squared automatic interaction detection (CHAID) method

Gi-Wook Cha, Young-Chan Kim, Hyeun Jun Moon et al. · Journal of Cleaner Production · 2017 · 55 citations

Engineering, Environmental Engineering, Environmental Sciences +15