- Technological Applications of Social Robots to Create Healthy and Comfortable Smart Home Environment. In: Building and Environment. :
- Human-centered intelligent construction for sustainable cities. In: Automation in Construction, v. 168 (December 2024). (2024):
- Occupant activities and clothes detection based on semi-supervised learning for occupant-centric thermal control. In: Building and Environment, v. 267 (January 2025). (2025):
- Vision-based multi-label detection framework for capturing occupant action and clothing information using large-scale dataset. In: Building and Environment, v. 257 (June 2024). (2024):
- Thermal comfort prediction based on automated extraction of skin temperature of face component on thermal image. In: Energy and Buildings, v. 298 (November 2023). (2023):
- Visual–auditory learning network for construction equipment action detection. In: Computer-Aided Civil and Infrastructure Engineering, v. 38, n. 14 (July 2023). (2023):
- A bi-level reinforcement learning model for optimal scheduling and planning of battery energy storage considering uncertainty in the energy-sharing community. In: Sustainable Cities and Society, v. 94 (July 2023). (2023):
- Blockchain-based IoT system for personalized indoor temperature control. In: Automation in Construction, v. 140 (August 2022). (2022):
- Occupant-centered real-time control of indoor temperature using deep learning algorithms. In: Building and Environment, v. 208 (January 2022). (2022):
- 3D convolutional neural network‐based one‐stage model for real‐time action detection in video of construction equipment. In: Computer-Aided Civil and Infrastructure Engineering, v. 37, n. 1 (20 December 2022). (2022):