Shanglian Zhou
- (2024): Hyperparameter Optimization and Importance Ranking in Deep Learning–Based Crack Segmentation. In: Journal of Computing in Civil Engineering, v. 38, n. 2 (März 2024).
- (2023): Deep learning-based crack segmentation for civil infrastructure: data types, architectures, and benchmarked performance. In: Automation in Construction, v. 146 (Februar 2023).
- (2021): Crack segmentation through deep convolutional neural networks and heterogeneous image fusion. In: Automation in Construction, v. 125 (Mai 2021).
- (2021): Deep learning–based roadway crack classification with heterogeneous image data fusion. In: Structural Health Monitoring, v. 20, n. 3 (Januar 2021).
- (2020): Concrete roadway crack segmentation using encoder-decoder networks with range images. In: Automation in Construction, v. 120 (Dezember 2020).
- (2020): Deep learning-based roadway crack classification using laser-scanned range images: A comparative study on hyperparameter selection. In: Automation in Construction, v. 114 (Juni 2020).
- (2020): Robust Image-Based Surface Crack Detection Using Range Data. In: Journal of Computing in Civil Engineering, v. 34, n. 2 (März 2020).
- (2018): Environmental-effects-embedded model updating method considering environmental impacts. In: Structural Control and Health Monitoring, v. 25, n. 3 (März 2018).
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