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Tzu-Hsuan Lin ORCID

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. Putranto, Alan / Huang, Bo-Xun / Lin, Tzu-Hsuan (2019): Electromagnetic wave-driven deep learning for structural evaluation of reinforced concrete strength. In: Journal of Civil Engineering and Management, v. 0, n. 0 (22 August 2019).

    https://doi.org/10.3846/jcem.2024.22266

  2. Putranto, Alan / Lin, Tzu-Hsuan / Huang, Bo-Xun (2024): Deep learning-integrated electromagnetic imaging for evaluating reinforced concrete structures in water-contact scenarios. In: Automation in Construction, v. 164 (August 2024).

    https://doi.org/10.1016/j.autcon.2024.105459

  3. Lin, Tzu-Hsuan / Chiang, Pin-Chian / Putranto, Alan (2024): Multispecies hybrid bioinspired climbing robot for wall tile inspection. In: Automation in Construction, v. 164 (August 2024).

    https://doi.org/10.1016/j.autcon.2024.105446

  4. Lin, Tzu-Hsuan / Chang, Chien-Ta / Yang, Bo-Hong / Hung, Chung-Chan / Wen, Kuo-Wei (2023): AI-powered shotcrete robot for enhancing structural integrity using ultra-high performance concrete and visual recognition. In: Automation in Construction, v. 155 (November 2023).

    https://doi.org/10.1016/j.autcon.2023.105038

  5. Lin, Tzu-Hsuan / Putranto, Alan / Chen, Pin-Hang / Teng, Yun-Zhen / Chen, Li (2023): High-mobility inchworm climbing robot for steel bridge inspection. In: Automation in Construction, v. 152 (August 2023).

    https://doi.org/10.1016/j.autcon.2023.104905

  6. Lin, Tzu-Hsuan / Huang, Yu-Hua / Putranto, Alan (2022): Intelligent question and answer system for building information modeling and artificial intelligence of things based on the bidirectional encoder representations from transformers model. In: Automation in Construction, v. 142 (October 2022).

    https://doi.org/10.1016/j.autcon.2022.104483

  7. Lin, Tzu-Hsuan / Putranto, Alan / Wang, Yan-ting (2021): Smart sensor tags for seepage sensing protected by 3D-printed case for embedding in concrete structures. In: Construction and Building Materials, v. 284 (May 2021).

    https://doi.org/10.1016/j.conbuildmat.2021.122784

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