- Automatic Construction and Uncertainty Analysis of Geological Profiles in Dredging Engineering Based on Multiple-Point Geostatistics. Dans: Journal of Waterway, Port, Coastal, and Ocean Engineering, v. 150, n. 6 (novembre 2024). (2024):
- Online Assessment of Spontaneous Mental Fatigue in Construction Workers Considering Data Quality: Improved Online Sequential Extreme Learning Machine. Dans: Journal of Construction Engineering and Management, v. 150, n. 11 (novembre 2024). (2024):
- CNN-Transformer hybrid network for concrete dam crack patrol inspection. Dans: Automation in Construction, v. 163 (juillet 2024). (2024):
- A transfer learning-based approach to fatigue life prediction of corroded bimetallic steel bars using small samples. Dans: Construction and Building Materials, v. 400 (octobre 2023). (2023):
- An intelligent design method for new binder material activated by solid wastes by integrating attention-based tree model and heuristic optimization algorithm. Dans: Construction and Building Materials, v. 409 (décembre 2023). (2023):
- Automated pixel-level crack detection and quantification using deep convolutional neural networks for structural condition assessment. Dans: Structures, v. 59 (janvier 2024). (2024):
- Intelligent identification and classification of sewer pipeline network defects based on improved RegNetY network. Dans: Journal of Civil Structural Health Monitoring, v. 13, n. 2-3 (août 2022). (2022):
- Intelligent question answering method for construction safety hazard knowledge based on deep semantic mining. Dans: Automation in Construction, v. 145 (janvier 2023). (2023):
- Multi-sensor real-time monitoring of dam behavior using self-adaptive online sequential learning. Dans: Automation in Construction, v. 140 (août 2022). (2022):
- Hybrid intelligence approach for performance estimation of rectangular CFST columns under different loading conditions. Dans: Structures, v. 39 (mai 2022). (2022):
- A multiple-point monitoring model for concrete dam displacements based on correlated multiple-output support vector regression. Dans: Structural Health Monitoring, v. 21, n. 6 (mars 2022). (2022):
- A new interval prediction method for displacement behavior of concrete dams based on gradient boosted quantile regression. Dans: Structural Control and Health Monitoring, v. 29, n. 1 (octobre 2021). (2021):
- A robust prediction model for displacement of concrete dams subjected to irregular water‐level fluctuations. Dans: Computer-Aided Civil and Infrastructure Engineering, v. 36, n. 5 (mai 2021). (2021):
- Productivity estimation of cutter suction dredger operation through data mining and learning from real-time big data. Dans: Engineering, Construction and Architectural Management, v. 28, n. 7 ( 2021). (2021):
- Productivity analysis of trailing suction hopper dredgers using stacking strategy. Dans: Automation in Construction, v. 122 (février 2021). (2021):
- Experimental study on electro-thermal and compaction properties of electrically conductive roller-compacted concrete overwintering layer in high RCC dams. Dans: Construction and Building Materials, v. 263 (décembre 2020). (2020):
- Thermal deformation coordination analysis of CC-RCC combined dam structure during construction and operation periods. Dans: Engineering Structures, v. 213 (juin 2020). (2020):
- Multiple mechanical properties prediction of hydraulic concrete in the form of combined damming by experimental data mining. Dans: Construction and Building Materials, v. 207 (mai 2019). (2019):