- Deep learning integrated Bayesian health indicator for cross-machine health monitoring. In: Structural Health Monitoring, v. 23, n. 6 (February 2024). (2024):
- Data-driven stress and strain curves of the unidirectional composites by deep neural networks with principal component analysis and selective-data augmentation. In: Composite Structures, v. 313 (June 2023). (2023):
- Multi-objective optimization of indoor air quality control and energy consumption minimization in a subway ventilation system. In: Energy and Buildings, v. 66 (November 2013). (2013):
- Online monitoring and interpretation of periodic diurnal and seasonal variations of indoor air pollutants in a subway station using parallel factor analysis (PARAFAC). In: Energy and Buildings, v. 68 (January 2014). (2014):
- Evaluation of an optimal ventilation IAQ control strategy using control performance assessment and energy demand. In: Energy and Buildings, v. 98 (July 2015). (2015):
- Gain scheduling based ventilation control with varying periodic indoor air quality (IAQ) dynamics for healthy IAQ and energy savings. In: Energy and Buildings, v. 153 (October 2017). (2017):
- A deep reinforcement learning-based autonomous ventilation control system for smart indoor air quality management in a subway station. In: Energy and Buildings, v. 202 (November 2019). (2019):
- Flexible real-time ventilation design in a subway station accommodating the various outdoor PM10 air quality from climate change variation. In: Building and Environment, v. 153 (April 2019). (2019):