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Xueguan Song

La bibliographie suivante contient toutes les publications répertoriées dans la base de données qui sont reliées à ce nom en tant qu'auteur, éditeur ou collaborateur.

  1. Wang, Hao / Liu, Lixue / Shi, Maolin / Yang, Jie / Song, Xueguan / Zhang, Chao / Tao, Dacheng (2024): Active learning framework for tunnel geological reconstruction based on TBM operational data. Dans: Automation in Construction, v. 158 (février 2024).

    https://doi.org/10.1016/j.autcon.2023.105230

  2. Fu, Tao / Zhang, Tianci / Lv, Yilin / Song, Xueguan / Li, Guang / Yue, Haifeng (2023): Digital twin-based excavation trajectory generation of Uncrewed excavators for autonomous mining. Dans: Automation in Construction, v. 151 (juillet 2023).

    https://doi.org/10.1016/j.autcon.2023.104855

  3. Sun, Wei / Wang, Xiaobang / Wang, Lintao / Zhang, Jie / Song, Xueguan (2016): Multidisciplinary design optimization of tunnel boring machine considering both structure and control parameters under complex geological conditions. Dans: Structural and Multidisciplinary Optimization, v. 54, n. 4 (28 avril 2016).

    https://doi.org/10.1007/s00158-016-1455-9

  4. Sun, Wei / Ma, Honghui / Song, Xueguan / Wang, Lintao / Ding, Xin (2017): Modeling and Dynamic Analysis of Cutterhead Driving System in Tunnel Boring Machine. Dans: Shock and Vibration, v. 2017 ( 2017).

    https://doi.org/10.1155/2017/7156816

  5. Zhang, Tianci / Fu, Tao / Song, Xueguan / Qu, Fuzheng (2022): Multi-objective excavation trajectory optimization for unmanned electric shovels based on pseudospectral method. Dans: Automation in Construction, v. 136 (avril 2022).

    https://doi.org/10.1016/j.autcon.2022.104176

  6. Gao, Xianjie / Shi, Maolin / Song, Xueguan / Zhang, Chao / Zhang, Hongwei (2019): Recurrent neural networks for real-time prediction of TBM operating parameters. Dans: Automation in Construction, v. 98 (février 2019).

    https://doi.org/10.1016/j.autcon.2018.11.013

  7. Sun, Wei / Shi, Maolin / Zhang, Chao / Zhao, Junhong / Song, Xueguan (2018): Dynamic load prediction of tunnel boring machine (TBM) based on heterogeneous in-situ data. Dans: Automation in Construction, v. 92 (août 2018).

    https://doi.org/10.1016/j.autcon.2018.03.030

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