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Shanglian Zhou

The following bibliography contains all publications indexed in this database that are linked with this name as either author, editor or any other kind of contributor.

  1. Canchila, Carlos / Zhou, Shanglian / Song, Wei (2024): Hyperparameter Optimization and Importance Ranking in Deep Learning–Based Crack Segmentation. In: Journal of Computing in Civil Engineering, v. 38, n. 2 (March 2024).

    https://doi.org/10.1061/jccee5.cpeng-5512

  2. Zhou, Shanglian / Canchila, Carlos / Song, Wei (2023): Deep learning-based crack segmentation for civil infrastructure: data types, architectures, and benchmarked performance. In: Automation in Construction, v. 146 (February 2023).

    https://doi.org/10.1016/j.autcon.2022.104678

  3. Zhou, Shanglian / Song, Wei (2021): Crack segmentation through deep convolutional neural networks and heterogeneous image fusion. In: Automation in Construction, v. 125 (May 2021).

    https://doi.org/10.1016/j.autcon.2021.103605

  4. Zhou, Shanglian / Song, Wei (2021): Deep learning–based roadway crack classification with heterogeneous image data fusion. In: Structural Health Monitoring, v. 20, n. 3 (January 2021).

    https://doi.org/10.1177/1475921720948434

  5. Zhou, Shanglian / Song, Wei (2020): Concrete roadway crack segmentation using encoder-decoder networks with range images. In: Automation in Construction, v. 120 (December 2020).

    https://doi.org/10.1016/j.autcon.2020.103403

  6. Zhou, Shanglian / Song, Wei (2020): Deep learning-based roadway crack classification using laser-scanned range images: A comparative study on hyperparameter selection. In: Automation in Construction, v. 114 (June 2020).

    https://doi.org/10.1016/j.autcon.2020.103171

  7. Zhou, Shanglian / Song, Wei (2020): Robust Image-Based Surface Crack Detection Using Range Data. In: Journal of Computing in Civil Engineering, v. 34, n. 2 (March 2020).

    https://doi.org/10.1061/(asce)cp.1943-5487.0000873

  8. Zhou, Shanglian / Song, Wei (2018): Environmental-effects-embedded model updating method considering environmental impacts. In: Structural Control and Health Monitoring, v. 25, n. 3 (March 2018).

    https://doi.org/10.1002/stc.2116

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