Jimmy C. H. Fung
- (2023): Enhancing IAQ, thermal comfort, and energy efficiency through an adaptive multi-objective particle swarm optimizer-grey wolf optimization algorithm for smart environmental control. In: Building and Environment, v. 235 (May 2023).
- (2022): Development of a back-propagation neural network combined with an adaptive multi-objective particle swarm optimizer algorithm for predicting and optimizing indoor CO2 and PM2.5 concentrations. In: Journal of Building Engineering, v. 54 (August 2022).
- (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 (January 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 (December 2021).
- (2021): Improvement of PM2.5 and O3 forecasting by integration of 3D numerical simulation with deep learning techniques. In: Sustainable Cities and Society, v. 75 (December 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 (March 2020).
- (2018): High spatiotemporal characterization of on-road PM2.5 concentrations in high-density urban areas using mobile monitoring. In: Building and Environment, v. 143 (October 2018).
- (2019): Downwind flow behaviors of cuboid-shaped obstacles: Modeling and experiments. In: Proceedings of the Institution of Civil Engineers - Engineering and Computational Mechanics, v. 172, n. 1 (March 2019).
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