Hyeonjoon Moon
- (2023): Attention‐guided multiscale neural network for defect detection in sewer pipelines. In: Computer-Aided Civil and Infrastructure Engineering, v. 38, n. 15 (April 2023).
- (2023): Lightweight pixel-level semantic segmentation and analysis for sewer defects using deep learning. In: Construction and Building Materials, v. 371 (März 2023).
- (2022): Deep learning-based masonry crack segmentation and real-life crack length measurement. In: Construction and Building Materials, v. 359 (Dezember 2022).
- (2022): Automatic tunnel lining crack evaluation and measurement using deep learning. In: Tunnelling and Underground Space Technology, v. 124 (Juni 2022).
- (2022): DefectTR: End-to-end defect detection for sewage networks using a transformer. In: Construction and Building Materials, v. 325 (März 2022).
- (2019): Underground sewer pipe condition assessment based on convolutional neural networks. In: Automation in Construction, v. 106 (Oktober 2019).
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