- Corrigendum to “Explainable AI-driven high-fidelity IAQ prediction (HiFi-IAQ) model for subway stations: Spatiotemporal outdoor air quality interpolation using geographic data”. In: Building and Environment, v. 267 (Januar 2025). (2025):
- Multi-sensor fault detection and correction for automated IAQ monitoring in smart buildings through attention-aware autoencoders with spatial prediction module. In: Journal of Building Engineering, v. 96 (November 2024). (2024):
- Explainable AI-driven high-fidelity IAQ prediction (HiFi-IAQ) model for subway stations: Spatiotemporal outdoor air quality interpolation using geographic data. In: Building and Environment, v. 263 (September 2024). (2024):
- Enhancing the sustainable management of fine particulate matter-related health risks at subway stations through sequential forecast and gated probabilistic transformer. In: Building and Environment, v. 244 (Oktober 2023). (2023):
- Distance adaptive graph convolutional gated network-based smart air quality monitoring and health risk prediction in sensor-devoid urban areas. In: Sustainable Cities and Society, v. 91 (April 2023). (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). (2023):
- 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). (2022):
- 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). (2020):