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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. Wang, Ruhua / Li, Jun / Li, Ling / An, Senjian / Ezard, Bradley / Li, Qilin / Hao, Hong (2024): Structural damage identification by using physics-guided residual neural networks. In: Engineering Structures, v. 318 (November 2024).

    https://doi.org/10.1016/j.engstruct.2024.118703

  2. Wang, Ruhua / Shao, Yanda / Li, Qilin / Li, Ling / Li, Jun / Hao, Hong (2023): A novel transformer-based semantic segmentation framework for structural condition assessment. In: Structural Health Monitoring, v. 23, n. 2 (July 2023).

    https://doi.org/10.1177/14759217231182303

  3. Li, Jun / Hao, Hong / Wang, Ruhua / Li, Ling (2022): Structural damage quantification using ensemble‐based extremely randomised trees and impulse response functions. In: Structural Control and Health Monitoring, v. 29, n. 10 (13 September 2022).

    https://doi.org/10.1002/stc.3033

  4. Wang, Ruhua / Li, Jun / An, Senjian / Hao, Hong / Liu, Wanquan / Li, Ling (2021): Densely connected convolutional networks for vibration based structural damage identification. In: Engineering Structures, v. 245 (October 2021).

    https://doi.org/10.1016/j.engstruct.2021.112871

  5. Wang, Ruhua / An, Senjian / Li, Jun / Li, Ling / Hao, Hong / Liu, Wanquan (2021): Deep residual network framework for structural health monitoring. In: Structural Health Monitoring, v. 20, n. 4 (April 2021).

    https://doi.org/10.1177/1475921720918378

  6. Pathirage, Chathurdara Sri Nadith / Li, Jun / Li, Ling / Hao, Hong / Liu, Wanquan / Wang, Ruhua (2017): Development and application of a deep learning–based sparse autoencoder framework for structural damage identification. In: Structural Health Monitoring, v. 18, n. 1 (December 2017).

    https://doi.org/10.1177/1475921718800363

  7. Li, Jun / Hao, Hong / Wang, Ruhua / Li, Ling (2021): Development and application of random forest technique for element level structural damage quantification. In: Structural Control and Health Monitoring, v. 28, n. 3 (5 February 2021).

    https://doi.org/10.1002/stc.2678

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