423 results on '"Zhang, Limao"'
Search Results
2. Geological risk prediction under uncertainty in tunnel excavation using online learning and hidden Markov model
3. Correction: Physics Informed Machine Learning (PIML) for Design, Management and Resilience-Development of Urban Infrastructures: A Review
4. Advanced informatic technologies for intelligent construction: A review
5. Computational methodologies for critical infrastructure resilience modeling: A review
6. Multiplex networks in resilience modeling of critical infrastructure systems: A systematic review
7. Deep reinforcement learning for multi-objective optimization in BIM-based green building design
8. Energy-driven TBM health status estimation with a hybrid deep learning approach
9. Zone-based many-objective building decarbonization considering outdoor temperature and occupation uncertainty
10. EMNet: An ensemble deep learning approach for geological condition detection in tunnel excavation
11. Uncertainty-based multi-objective optimization in twin tunnel design considering fluid-solid coupling
12. Detecting energy consumption anomalies with dynamic adaptive encoder-decoder deep learning networks
13. Building electricity load forecasting based on spatiotemporal correlation and electricity consumption behavior information
14. Multi-objective optimization for energy-efficient building design considering urban heat island effects
15. Dual hierarchical attention-enhanced transfer learning for semantic segmentation of point clouds in building scene understanding
16. Hybrid model for robust and accurate forecasting building electricity demand combining physical and data-driven methods
17. Automated position control of tunnel boring machine during excavation using deep reinforcement learning
18. Intelligent design of key joints in aerial building machine using topology optimization and generative adversarial network
19. Data-driven optimization for mitigating energy consumption and GHG emissions in buildings
20. Robust multi-scale time series prediction for building carbon emissions with explainable deep learning
21. Enhancing resilience of urban underground space under floods: Current status and future directions
22. Physics-guided deep learning for driving force estimation in synchronous tunnel boring machines under missing cylinders
23. Safety assessment of tunnel construction based on counterintuitivity detection using multi-profile multi-model ensemble learning
24. Dynamic reliability analysis of Aerial Building Machine under extreme wind loads using improved QBDC-based active learning
25. Estimating urban land subsidence with satellite data using a spatially multiscale geographically weighted regression approach
26. Data-driven joint multi-objective prediction and optimization for advanced control during tunnel construction
27. A causal-temporal graphic convolutional network (CT-GCN) approach for TBM load prediction in tunnel excavation
28. Digital twin enabled real-time advanced control of TBM operation using deep learning methods
29. Online multi-objective optimization for real-time TBM attitude control with spatio-temporal deep learning model
30. Physics-informed deep reinforcement learning for enhancement on tunnel boring machine's advance speed and stability
31. Modelling clogging dynamics in groundwater systems using multiscale homogenized physics informed neural network (MHPINN)
32. Ensemble deep learning enabled multi-condition generative design of aerial building machine considering uncertainties
33. Simulation-based rescue plan modeling and performance assessment towards resilient metro systems under emergency
34. Modeling urban rail transit system resilience under natural disasters: A two-layer network framework based on link flow
35. Data-driven multi-step prediction and analysis of monthly rainfall using explainable deep learning
36. Integrating BIM and AI for Smart Construction Management: Current Status and Future Directions
37. Dual attention-based deep learning network for multi-class object semantic segmentation of tunnel point clouds
38. Online multi-objective optimization for tunnel boring machine segment assembly considering stress concentration
39. Dynamic adaptive encoder-decoder deep learning networks for multivariate time series forecasting of building energy consumption
40. LOD2 for energy simulation (LOD2ES) for CityGML: A novel level of details model for IFC-based building features extraction and energy simulation
41. Modified boosting and bagging for building tilt rate prediction in tunnel construction
42. Dynamic and explainable deep learning-based risk prediction on adjacent building induced by deep excavation
43. Flood risk assessment and mitigation for metro stations: An evidential-reasoning-based optimality approach considering uncertainty of subjective parameters
44. Time series clustering for TBM performance investigation using spatio-temporal complex networks
45. Multi-objective optimization ensembled generative design for large-diameter tunnel passing underneath existing tunnels
46. Time series clustering-enabled geological condition perception in tunnel boring machine excavation
47. Probabilistic safety risk assessment in large-diameter tunnel construction using an interactive and explainable tree-based pipeline optimization method
48. Deep learning for large-scale point cloud segmentation in tunnels considering causal inference
49. Driving forces analysis of urban ground deformation using satellite monitoring and multiscale geographically weighted regression
50. Multi-objective robust optimization for enhanced safety in large-diameter tunnel construction with interactive and explainable AI
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