- Dynamic energy optimization strategy to provide appropriate thermal comfort and fresh air under occupants’ different activity types. Dans: Energy and Buildings, v. 321 (octobre 2024). (2024):
- Non-intrusive personal thermal comfort modeling: A machine learning approach using infrared face recognition. Dans: Building and Environment, v. 247 (janvier 2024). (2024):
- A deep learning-aided analytical model for the whole process analysis of RC slabs under compressive arching action. Dans: Engineering Structures, v. 278 (mars 2023). (2023):
- Improved-GEP-based models for predicting distortion control indices of curved composite box girders. Dans: Structures, v. 49 (mars 2023). (2023):
- Investigation into effect of non-uniform thermal environment on thermal sensation under stratum ventilation for heating by using interpolation-based multi-level fuzzy comprehensive evaluation. Dans: Journal of Building Engineering, v. 64 (avril 2023). (2023):
- Comparative analysis of thermal preference prediction performance in different conditions using ensemble learning models based on ASHRAE Comfort Database II. Dans: Building and Environment, v. 223 (septembre 2022). (2022):
- Experimental study on human comfort responses after simulated summer commutes with double transients of temperature and metabolic rate. Dans: Building and Environment, v. 221 (août 2022). (2022):
- Examining the Impact of Adverse Weather on Urban Rail Transit Facilities on the Basis of Fault Tree Analysis and Fuzzy Synthetic Evaluation. Dans: Journal of Transportation Engineering, v. 140, n. 3 (mars 2014). (2014):
- Short time air temperature prediction using pattern approximate matching. Dans: Energy and Buildings, v. 244 (août 2021). (2021):
- Multi-criteria decision making of integrating thermal comfort with energy utilization coefficient under different air supply conditions based on human factors and 13-value thermal comfort scale. Dans: Journal of Building Engineering, v. 39 (juillet 2021). (2021):