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- Prediction of bending strength of glass fiber reinforced methacrylate-based pipeline UV-CIPP rehabilitation materials based on machine learning. Dans: Tunnelling and Underground Space Technology, v. 140 (octobre 2023). (2023):
- Stochastic full-range multiscale modeling of thermal conductivity of Polymeric carbon nanotubes composites: A machine learning approach. Dans: Composite Structures, v. 289 (juin 2022). (2022):
- A stochastic multiscale method for the prediction of the thermal conductivity of Polymer nanocomposites through hybrid machine learning algorithms. Dans: Composite Structures, v. 273 (octobre 2021). (2021):
- Interevent acoustic emission character of three-point-bending tests on concrete beams by the nearest neighbor distance. Dans: Construction and Building Materials, v. 224 (novembre 2019). (2019):