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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. Lin, Shan / Liang, Zenglong / Dong, Miao / Guo, Hongwei / Zheng, Hong (2024): Imbalanced rock burst assessment using variational autoencoder-enhanced gradient boosting algorithms and explainability. In: Underground Space, v. 17 (August 2024).

    https://doi.org/10.1016/j.undsp.2023.11.008

  2. Zhao, Shuaixing / Lin, Shan / Dong, Miao / Guo, Hongwei / Zheng, Hong (2024): Mass lumping schemes fitted to MLS-based numerical manifold method in vibration of plates with cutouts using CPT and FSDT. In: Composite Structures, v. 330 (February 2024).

    https://doi.org/10.1016/j.compstruct.2023.117815

  3. Nong, Xingzhong / Luo, Xu / Lin, Shan / Ruan, Yanmei / Ye, Xijun (2023): Multimodal Deep Neural Network-Based Sensor Data Anomaly Diagnosis Method for Structural Health Monitoring. In: Buildings, v. 13, n. 8 (2 August 2023).

    https://doi.org/10.3390/buildings13081976

  4. Ruan, Yanmei / Luo, Xu / Lin, Shan / Pei, Xingkai (2022): Experimental Study on Simulation Filling of New Underwater Cementitious Filling Material (NWC-FM). In: Advances in Civil Engineering, v. 2022 (January 2022).

    https://doi.org/10.1155/2022/2618478

  5. Lin, Shan / Zhang, Jing / Liu, Xuehua / Zhang, Xianwei / Cai, Zhichao / Chen, Xia (2022): Study on Distribution Characteristics of Metro Stray Current and Evaluation of Cumulative Corrosion Effect. In: Advances in Civil Engineering, v. 2022 (January 2022).

    https://doi.org/10.1155/2022/6845847

  6. Lin, Shan / Liu, Liping / Rao, Meiwan / Deng, Shu / Wang, Jiaxin / Zhong, Wenfan / Lun, Li (2021): A Principal Component Analysis Control Chart Method for Catenary Status Evaluation and Diagnosis. In: Advances in Civil Engineering, v. 2021 (January 2021).

    https://doi.org/10.1155/2021/7703359

  7. Lin, Shan / Zheng, Hong / Han, Chao / Han, Bei / Li, Wei (2021): Evaluation and prediction of slope stability using machine learning approaches. In: Frontiers of Structural and Civil Engineering, v. 15, n. 4 (August 2021).

    https://doi.org/10.1007/s11709-021-0742-8

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