Daeho Kim 
- (2024): Deep learning-based automated productivity monitoring for on-site module installation in off-site construction. In: Developments in the Built Environment, v. 18 (April 2024).
- (2023): Near Real-Time 3D Reconstruction and Quality 3D Point Cloud for Time-Critical Construction Monitoring. In: Buildings, v. 13, n. 2 (14 February 2023).
- (2023): Hybrid DNN training using both synthetic and real construction images to overcome training data shortage. In: Automation in Construction, v. 149 (May 2023).
- (2023): 3D Excavator Pose Estimation Using Projection-Based Pose Optimization for Contact-Driven Hazard Monitoring. In: Journal of Computing in Civil Engineering, v. 37, n. 1 (January 2023).
- (2022): Learning-driven construction productivity prediction for prefabricated external insulation wall system. In: Automation in Construction, v. 141 (September 2022).
- (2022): Conditional Generative Adversarial Networks with Adversarial Attack and Defense for Generative Data Augmentation. In: Journal of Computing in Civil Engineering, v. 36, n. 3 (May 2022).
- (2019): Construction and calibration of a large-area heat flow meter apparatus. In: Energy and Buildings, v. 203 (November 2019).
- (2020): Proximity Prediction of Mobile Objects to Prevent Contact-Driven Accidents in Co-Robotic Construction. In: Journal of Computing in Civil Engineering, v. 34, n. 4 (July 2020).
- (2017): Mapping the Rescue Equipment Mobilization Potential: Decision Support Tool for Emergency Management. In: Journal of Management in Engineering (ASCE), v. 33, n. 6 (November 2017).
- (2019): Remote proximity monitoring between mobile construction resources using camera-mounted UAVs. In: Automation in Construction, v. 99 (March 2019).
Structurae cooperates with
