Zeming Qin
- Evaluating and enhancing the applicability of thermal comfort indices in diverse outdoor environments using Bayesian and random forest regression. In: Energy and Buildings, v. 324 (December 2024). (2024):
- Outdoor clothing choice for different populations in cold regions: A clothing choice prediction model based on machine learning. In: Energy and Buildings, v. 289 (June 2023). (2023):
- Combined effects of Thermal-PM2.5 indicators on subjective evaluation of campus environment. In: Building and Environment, v. 222 (August 2022). (2022):