Kijeon Nam
- (2023): Deep-AI soft sensor for sustainable health risk monitoring and control of fine particulate matter at sensor devoid underground spaces: A zero-shot transfer learning approach. In: Tunnelling and Underground Space Technology, v. 131 (Januar 2023).
- (2022): Neural circuit policies-based temporal flexible soft-sensor modeling of subway PM2.5 with applications on indoor air quality management. In: Building and Environment, v. 207 (Januar 2022).
- (2020): Sustainable subway indoor air quality monitoring and fault-tolerant ventilation control using a sparse autoencoder-driven sensor self-validation. In: Sustainable Cities and Society, v. 52 (Januar 2020).
- (2021): Multi-objective optimization of a time-delay compensated ventilation control system in a subway facility – A harmony search strategy. In: Building and Environment, v. 190 (März 2021).
- (2019): 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).
- (2020): Energy-efficient time-delay compensated ventilation control system for sustainable subway air quality management under various outdoor conditions. In: Building and Environment, v. 174 (Mai 2020).
- (2018): A dynamic gain-scheduled ventilation control system for a subway station based on outdoor air quality conditions. In: Building and Environment, v. 144 (Oktober 2018).
Structurae kooperiert mit
