Liang Yuan 
- (2024): A semi-Naïve Bayesian rock burst intensity prediction model based on average one-dependent estimator and incremental learning. In: Tunnelling and Underground Space Technology, v. 146 (April 2024).
- (2024): Assessing and enhancing the applicability of standard effective temperature in outdoor thermal sensation prediction for continental climates. In: Energy and Buildings, v. 305 (Februar 2024).
- (2023): Calibrating thermal sensation vote scales for different short_term thermal histories using ensemble learning. In: Building and Environment, v. 246 (Dezember 2023).
- (2023): Evaluating the Impact of Macroeconomic Policy Interventions and Recession on a Sewage Treatment PPP Project Using a System Dynamic Model. In: Advances in Civil Engineering, v. 2023 (Februar 2023).
- (2022): An integrated study of physical and numerical modelling on the stability of underground tunnel influenced by unloading rate. In: Tunnelling and Underground Space Technology, v. 129 (November 2022).
- (2022): Analysis of precursor information for coal and gas outbursts induced by roadway tunneling: A simulation test study for the whole process. In: Tunnelling and Underground Space Technology, v. 122 (April 2022).
- (2020): Automatic classification of common building materials from 3D terrestrial laser scan data. In: Automation in Construction, v. 110 (Februar 2020).
- (2020): Time and cost analysis of geometric quality assessment of structural columns based on 3D terrestrial laser scanning. In: Automation in Construction, v. 110 (Februar 2020).
- (2019): Cooperative action and compatibility between Portland cement and MSWI bottom ash alkali-activated double gel system materials. In: Construction and Building Materials, v. 209 (Juni 2019).
Structurae kooperiert mit
