- Secure environmental, social, and governance (ESG) data management for construction projects using blockchain. Dans: Sustainable Cities and Society, v. 114 (novembre 2024). (2024):
- Multi-source transfer learning method for enhancing the deployment of deep reinforcement learning in multi-zone building HVAC control. Dans: Energy and Buildings, v. 322 (novembre 2024). (2024):
- Heritage building facades preservation: Automatic fresh air curtain wall generation for air pollutant dilution based on digital twins. Dans: Journal of Building Engineering, v. 90 (août 2024). (2024):
- Thermal performance improvement for residential heritage building preservation based on digital twins. Dans: Journal of Building Engineering, v. 82 (avril 2024). (2024):
- Multi-indicator adaptive HVAC control system for low-energy indoor air quality management of heritage building preservation. Dans: Building and Environment, v. 246 (décembre 2023). (2023):
- Predictive control of HVAC by multiple output GRU - CFD integration approach to manage multiple IAQ for commercial heritage building preservation. Dans: Building and Environment, v. 245 (novembre 2023). (2023):
- An ontology-based framework for automatic building energy modeling with thermal zoning. Dans: Energy and Buildings, v. 296 (octobre 2023). (2023):
- Suitability analysis of consensus protocols for blockchain-based applications in the construction industry. Dans: Automation in Construction, v. 145 (janvier 2023). (2023):
- Prediction and optimization of thermal comfort, IAQ and energy consumption of typical air-conditioned rooms based on a hybrid prediction model. Dans: Building and Environment, v. 225 (novembre 2022). (2022):
- Impact of shaft design to thermal comfort and indoor air quality of floors using BIM technology. Dans: Journal of Building Engineering, v. 51 (juillet 2022). (2022):
- Automatic relative humidity optimization in underground heritage sites through ventilation system based on digital twins. Dans: Building and Environment, v. 216 (mai 2022). (2022):
- BIM-supported sensor placement optimization based on genetic algorithm for multi-zone thermal comfort and IAQ monitoring. Dans: Building and Environment, v. 216 (mai 2022). (2022):