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