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