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Die folgende Bibliografie enthält alle in dieser Datenbank indizierten Veröffentlichungen, die mit diesem Namen als Autor, Herausgeber oder anderweitig Beitragenden verbunden sind.

  1. Shi, Mengnan / Chen, Chen / Xiao, Bo / Seo, JoonOh (2024): Vision-Based Detection Method for Construction Site Monitoring by Integrating Data Augmentation and Semisupervised Learning. In: Journal of Construction Engineering and Management, v. 150, n. 5 (Mai 2024).

    https://doi.org/10.1061/jcemd4.coeng-14388

  2. Shi, Mengnan / Hua, Tianbo / Yang, Zhaohui (Joey) / Tan, Cai / Wen, Yu (2024): Weakly supervised deep learning-based concrete aggregates automatic segmentation for assessing separation degree. In: Journal of Building Engineering, v. 82 (April 2024).

    https://doi.org/10.1016/j.jobe.2023.108342

  3. Guan, Shiwei / Wang, Jiajun / Wang, Xiaoling / Shi, Mengnan / Lin, Weiwei / Chen, Wenlong (2022): Dynamic hyperparameter tuning-based path tracking control for robotic rollers working on earth-rock dam under complex construction conditions. In: Automation in Construction, v. 143 (November 2022).

    https://doi.org/10.1016/j.autcon.2022.104576

  4. Shi, Mengnan / Wang, Jiajun / Li, Qihu / Cui, Bo / Guan, Shiwei / Zeng, Tuocheng (2022): Accelerated Earth-Rockfill Dam Compaction by Collaborative Operation of Unmanned Roller Fleet. In: Journal of Construction Engineering and Management, v. 148, n. 7 (Juli 2022).

    https://doi.org/10.1061/(asce)co.1943-7862.0002267

  5. Shi, Mengnan / Wang, Jiajun / Guan, Tao / Chen, Wenlong / Wang, Xiaoling (2022): Effective compaction power index for real-time compaction quality assessment of coarse-grained geomaterials: Proposal and comparative study. In: Construction and Building Materials, v. 321 (Februar 2022).

    https://doi.org/10.1016/j.conbuildmat.2022.126375

  6. Wang, Jiajun / Zhong, Denghua / Wu, Binping / Shi, Mengnan (2018): Evaluation of Compaction Quality Based on SVR with CFA: Case Study on Compaction Quality of Earth-Rock Dam. In: Journal of Computing in Civil Engineering, v. 32, n. 3 (Mai 2018).

    https://doi.org/10.1061/(asce)cp.1943-5487.0000742

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