Xueguan Song
- (2023): A Clustering Algorithm for Tunnel Boring Machine Data Based on Ridge Regression and Fuzzy C-Means. In: Journal of Physics: Conference Series, v. 2555, n. 1 (1 July 2023).
- (2024): Data-driven excavation trajectory planning for unmanned mining excavator. In: Automation in Construction, v. 162 (June 2024).
- (2024): Active learning framework for tunnel geological reconstruction based on TBM operational data. In: Automation in Construction, v. 158 (February 2024).
- (2023): Digital twin-based excavation trajectory generation of Uncrewed excavators for autonomous mining. In: Automation in Construction, v. 151 (July 2023).
- (2016): Multidisciplinary design optimization of tunnel boring machine considering both structure and control parameters under complex geological conditions. In: Structural and Multidisciplinary Optimization, v. 54, n. 4 (28 April 2016).
- (2017): Modeling and Dynamic Analysis of Cutterhead Driving System in Tunnel Boring Machine. In: Shock and Vibration, v. 2017 ( 2017).
- (2022): Multi-objective excavation trajectory optimization for unmanned electric shovels based on pseudospectral method. In: Automation in Construction, v. 136 (April 2022).
- (2019): Recurrent neural networks for real-time prediction of TBM operating parameters. In: Automation in Construction, v. 98 (February 2019).
- (2018): Dynamic load prediction of tunnel boring machine (TBM) based on heterogeneous in-situ data. In: Automation in Construction, v. 92 (August 2018).
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