- Real-time clothing insulation level classification based on model transfer learning and computer vision for PMV-based heating system optimization through piecewise linearization. Dans: Building and Environment, v. 253 (avril 2024). (2024):
- DeepVision based detection for energy-efficiency and indoor air quality enhancement in highly polluted spaces. Dans: Journal of Building Engineering, v. 84 (mai 2024). (2024):
- An occupant-centric control strategy for indoor thermal comfort, air quality and energy management. Dans: Energy and Buildings, v. 285 (avril 2023). (2023):
- Indoor fire detection utilizing computer vision-based strategies. Dans: Journal of Building Engineering, v. 61 (décembre 2022). (2022):
- Enhancing the detection performance of a vision-based occupancy detector for buildings. Dans: Proceedings of the Institution of Civil Engineers - Engineering Sustainability, v. 176, n. 6 (1 décembre 2023). (2023):
- Real-time building heat gains prediction and optimization of HVAC setpoint: An integrated framework. Dans: Journal of Building Engineering, v. 49 (mai 2022). (2022):
- Deep learning and computer vision based occupancy CO2 level prediction for demand-controlled ventilation (DCV). Dans: Journal of Building Engineering, v. 56 (septembre 2022). (2022):
- Development and evaluation of a vision-based transfer learning approach for indoor fire and smoke detection. Dans: Building Services Engineering Research and Technology, v. 43, n. 3 (avril 2022). (2022):
- A coupled deep learning-based internal heat gains detection and prediction method for energy-efficient office building operation. Dans: Journal of Building Engineering, v. 47 (avril 2022). (2022):
- The impact of deep learning–based equipment usage detection on building energy demand estimation. Dans: Building Services Engineering Research and Technology, v. 42, n. 5 (juillet 2021). (2021):
- Vision-based human activity recognition for reducing building energy demand. Dans: Building Services Engineering Research and Technology, v. 42, n. 6 (septembre 2021). (2021):
- A vision-based deep learning approach for the detection and prediction of occupancy heat emissions for demand-driven control solutions. Dans: Energy and Buildings, v. 226 (novembre 2020). (2020):