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Song-Shun Lin

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, Song-Shun / Zheng, Xin-Jiang: Enhancing smart city assessment: an advanced MCDM approach for urban performance evaluation. In: Sustainable Cities and Society.

    https://doi.org/10.1016/j.scs.2024.105930

  2. Lin, Song-Shun / Zhou, Annan / Shen, Shui-Long (2024): Multi-status Bayesian network for analyzing collapse risk of excavation construction. In: Automation in Construction, v. 158 (February 2024).

    https://doi.org/10.1016/j.autcon.2023.105193

  3. Lin, Song-Shun / Zhou, Annan / Shen, Shui-Long (2023): Optimal construction method evaluation for underground infrastructure construction. In: Automation in Construction, v. 152 (August 2023).

    https://doi.org/10.1016/j.autcon.2023.104921

  4. Lin, Song-Shun / Zhang, Ning / Zhou, Annan / Shen, Shui-Long (2022): Risk evaluation of excavation based on fuzzy decision-making model. In: Automation in Construction, v. 136 (April 2022).

    https://doi.org/10.1016/j.autcon.2022.104143

  5. Lin, Song-Shun / Zhang, Ning / Zhou, Annan / Shen, Shui-Long (2022): Time-series prediction of shield movement performance during tunneling based on hybrid model. In: Tunnelling and Underground Space Technology, v. 119 (January 2022).

    https://doi.org/10.1016/j.tust.2021.104245

  6. Lin, Song-Shun / Shen, Shui-Long / Zhou, Annan / Zhang, Ning (2021): Ensemble model for risk status evaluation of excavation. In: Automation in Construction, v. 132 (December 2021).

    https://doi.org/10.1016/j.autcon.2021.103943

  7. Lin, Song-Shun / Shen, Shui-Long / Zhang, Ning / Zhou, Annan (2021): Comprehensive environmental impact evaluation for concrete mixing station (CMS) based on improved TOPSIS method. In: Sustainable Cities and Society, v. 69 (June 2021).

    https://doi.org/10.1016/j.scs.2021.102838

  8. Lin, Song-Shun / Shen, Shui-Long / Zhou, Annan / Xu, Ye-Shuang (2021): Risk assessment and management of excavation system based on fuzzy set theory and machine learning methods. In: Automation in Construction, v. 122 (February 2021).

    https://doi.org/10.1016/j.autcon.2020.103490

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