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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. Chen, Guanlong / Wang, Yakun / Li, Xue / Bi, Qiushi / Li, XueFei: Shovel point optimization for unmanned loader based on pile reconstruction. In: Computer-Aided Civil and Infrastructure Engineering.

    https://doi.org/10.1111/mice.13190

  2. Chen, Guanlong / Chang, Ruizhi / Bai, Jie / Li, Jing / Li, XueFei (2024): Shovel parameter sensitivity analysis and online optimization method for unmanned loaders. In: Automation in Construction, v. 157 (January 2024).

    https://doi.org/10.1016/j.autcon.2023.105149

  3. Qi, Yansu / Li, XueFei / Liu, Yingjie / He, Xiujuan / Gao, Weijun / Miao, Sheng (2023): The Influence of Block Morphology on Urban Thermal Environment Analysis Based on a Feed-Forward Neural Network Model. In: Buildings, v. 13, n. 2 (14 February 2023).

    https://doi.org/10.3390/buildings13020528

  4. Li, Jing / Chen, Chuanhai / Li, Yingnan / Wu, Han / Li, XueFei (2021): Difficulty assessment of shoveling stacked materials based on the fusion of neural network and radar chart information. In: Automation in Construction, v. 132 (December 2021).

    https://doi.org/10.1016/j.autcon.2021.103966

  5. Lu, Jinxiong / Yao, ZongWei / Bi, Qiushi / Li, XueFei (2021): A neural network–based approach for fill factor estimation and bucket detection on construction vehicles. In: Computer-Aided Civil and Infrastructure Engineering, v. 36, n. 12 (September 2021).

    https://doi.org/10.1111/mice.12675

  6. Yao, ZongWei / Huang, Qiuping / Ji, Ze / Li, XueFei / Bi, Qiushi (2021): Deep learning-based prediction of piled-up status and payload distribution of bulk material. In: Automation in Construction, v. 121 (January 2021).

    https://doi.org/10.1016/j.autcon.2020.103424

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