Jaewon Jeoung 
- (2024): Vision-based multi-label detection framework for capturing occupant action and clothing information using large-scale dataset. In: Building and Environment, v. 257 (Juni 2024).
- (2023): 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 (Juli 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 (Juli 2023).
- (2022): 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 (Januar 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 Dezember 2022).
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