Paige Wenbin Tien 
- (2024): Real-time clothing insulation level classification based on model transfer learning and computer vision for PMV-based heating system optimization through piecewise linearization. In: Building and Environment, v. 253 (April 2024).
- (2023): An occupant-centric control strategy for indoor thermal comfort, air quality and energy management. In: Energy and Buildings, v. 285 (April 2023).
- (2022): Indoor fire detection utilizing computer vision-based strategies. In: Journal of Building Engineering, v. 61 (December 2022).
- (2022): Numerical evaluation of the use of vegetation as a shelterbelt for enhancing the wind and thermal comfort in peripheral and lateral-type skygardens in highrise buildings. In: Building Simulation, v. 16, n. 2 (September 2022).
- (2023): Enhancing the detection performance of a vision-based occupancy detector for buildings. In: Proceedings of the Institution of Civil Engineers - Engineering Sustainability, v. 176, n. 6 (1 December 2023).
- (2022): Real-time building heat gains prediction and optimization of HVAC setpoint: An integrated framework. In: Journal of Building Engineering, v. 49 (May 2022).
- (2022): Deep learning and computer vision based occupancy CO2 level prediction for demand-controlled ventilation (DCV). In: Journal of Building Engineering, v. 56 (September 2022).
- (2022): Development and evaluation of a vision-based transfer learning approach for indoor fire and smoke detection. In: Building Services Engineering Research and Technology, v. 43, n. 3 (April 2022).
- (2022): A coupled deep learning-based internal heat gains detection and prediction method for energy-efficient office building operation. In: Journal of Building Engineering, v. 47 (April 2022).
- (2021): The impact of deep learning–based equipment usage detection on building energy demand estimation. In: Building Services Engineering Research and Technology, v. 42, n. 5 (July 2021).
- (2021): Vision-based human activity recognition for reducing building energy demand. In: Building Services Engineering Research and Technology, v. 42, n. 6 (September 2021).
- (2020): A vision-based deep learning approach for the detection and prediction of occupancy heat emissions for demand-driven control solutions. In: Energy and Buildings, v. 226 (November 2020).
- (2019): Numerical analysis of the wind and thermal comfort in courtyards "skycourts" in high rise buildings. In: Journal of Building Engineering, v. 24 (July 2019).
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