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