Huamin Qu
- A coupled computational fluid dynamics and back-propagation neural network-based particle swarm optimizer algorithm for predicting and optimizing indoor air quality. Dans: Building and Environment, v. 207 (janvier 2022). (2022):
- Development of a back-propagation neural network and adaptive grey wolf optimizer algorithm for thermal comfort and energy consumption prediction and optimization. Dans: Energy and Buildings, v. 253 (décembre 2021). (2021):
- PRAISE-HK: A personalized real-time air quality informatics system for citizen participation in exposure and health risk management. Dans: Sustainable Cities and Society, v. 54 (mars 2020). (2020):