Somin Park
- (2024): Natural language instructions for intuitive human interaction with robotic assistants in field construction work. In: Automation in Construction, v. 161 (Mai 2024).
- (2023): Proposal of a correction factor for predicting the thermal transmittance of building envelopes in existing buildings accounting for aging and environmental conditions. In: Building and Environment, v. 243 (September 2023).
- (2023): A comparative assessment of in-situ measurement methods for thermal resistance of building walls under mild climate conditions. In: Journal of Building Engineering, v. 77 (Oktober 2023).
- (2023): A Comprehensive Evaluation of Factors Influencing Acceptance of Robotic Assistants in Field Construction Work. In: Journal of Management in Engineering (ASCE), v. 39, n. 3 (Mai 2023).
- (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 (Mai 2022).
- (2021): Synthetic data generation using building information models. In: Automation in Construction, v. 130 (Oktober 2021).
- (2021): Computer Vision–Based Estimation of Flood Depth in Flooded-Vehicle Images. In: Journal of Computing in Civil Engineering, v. 35, n. 2 (März 2021).
- (2020): Image augmentation to improve construction resource detection using generative adversarial networks, cut-and-paste, and image transformation techniques. In: Automation in Construction, v. 115 (Juli 2020).
- (2019): Encoder–decoder network for pixel‐level road crack detection in black‐box images. In: Computer-Aided Civil and Infrastructure Engineering, v. 34, n. 8 (März 2019).
- (2018): Image retrieval using BIM and features from pretrained VGG network for indoor localization. In: Building and Environment, v. 140 (August 2018).
- (2019): Vision-based nonintrusive context documentation for earthmoving productivity simulation. In: Automation in Construction, v. 102 (Juni 2019).
- (2019): Patch-Based Crack Detection in Black Box Images Using Convolutional Neural Networks. In: Journal of Computing in Civil Engineering, v. 33, n. 3 (Mai 2019).
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