Limao Zhang
Limao Zhang
Professor, School of Civil and Hydraulic Engineering, Huazhong University of Science and Technology
E-mail megerősítve itt: hust.edu.cn
Hivatkozott rá
Hivatkozott rá
Roles of artificial intelligence in construction engineering and management: A critical review and future trends
Y Pan, L Zhang
Automation in Construction 122, 103517, 2021
A BIM-data mining integrated digital twin framework for advanced project management
Y Pan, L Zhang
Automation in Construction 124, 103564, 2021
Bayesian-network-based safety risk analysis in construction projects
L Zhang, X Wu, MJ Skibniewski, J Zhong, Y Lu
Reliability Engineering & System Safety 131, 29-39, 2014
Improved fuzzy Bayesian network-based risk analysis with interval-valued fuzzy sets and D–S evidence theory
Y Pan, L Zhang, ZW Li, L Ding
IEEE Transactions on Fuzzy Systems 28 (9), 2063-2077, 2019
A dynamic Bayesian network based approach to safety decision support in tunnel construction
X Wu, H Liu, L Zhang, MJ Skibniewski, Q Deng, J Teng
Reliability Engineering & System Safety 134, 157-168, 2015
Towards a Fuzzy Bayesian Network Based Approach for Safety Risk Analysis of Tunnel‐Induced Pipeline Damage
L Zhang, X Wu, Y Qin, MJ Skibniewski, W Liu
Risk Analysis 36 (2), 278-301, 2016
Prospective safety performance evaluation on construction sites
X Wu, Q Liu, L Zhang, MJ Skibniewski, Y Wang
Accident Analysis & Prevention 78, 58-72, 2015
Energy consumption prediction and diagnosis of public buildings based on support vector machine learning: A case study in China
Y Liu, H Chen, L Zhang, X Wu, X Wang
Journal of Cleaner Production 272, 122542, 2020
Multi-classifier information fusion in risk analysis
Y Pan, L Zhang, X Wu, MJ Skibniewski
Information Fusion, 2020
Integrating BIM and AI for smart construction management: Current status and future directions
Y Pan, L Zhang
Archives of Computational Methods in Engineering 30 (2), 1081-1110, 2023
Computational methodologies for optimal sensor placement in structural health monitoring: A review
Y Tan, L Zhang
Structural Health Monitoring 19 (4), 1287-1308, 2020
Perceiving safety risk of buildings adjacent to tunneling excavation: An information fusion approach
L Zhang, X Wu, H Zhu, SM AbouRizk
Automation in Construction 73, 88-101, 2017
A spatial-channel hierarchical deep learning network for pixel-level automated crack detection
Y Pan, G Zhang, L Zhang
Automation in Construction 119, 103357, 2020
Bim-Based Risk Identification System in tunnel construction
L Zhang, X Wu, L Ding, MJ Skibniewski, Y Lu
Journal of Civil Engineering and Management 22 (4), 529-539, 2016
A probabilistic approach for safety risk analysis in metro construction
L Zhang, MJ Skibniewski, X Wu, Y Chen, Q Deng
Safety science 63, 8-17, 2014
Optimizing energy efficiency and thermal comfort in building green retrofit
Q Li, L Zhang, L Zhang, X Wu
Energy 237, 121509, 2021
An improved Dempster–Shafer approach to construction safety risk perception
L Zhang, L Ding, X Wu, MJ Skibniewski
Knowledge-Based Systems 132, 30-46, 2017
Data-driven estimation of building energy consumption with multi-source heterogeneous data
Y Pan, L Zhang
Applied Energy 268, 114965, 2020
Decision support analysis for safety control in complex project environments based on Bayesian Networks
L Zhang, X Wu, L Ding, MJ Skibniewski, Y Yan
Expert Systems with Applications 40 (11), 4273-4282, 2013
Simulation-based route planning for pedestrian evacuation in metro stations: a case study
L Zhang, M Liu, X Wu, SM AbouRizk
Automation in Construction 71, 430-442, 2016
A rendszer jelenleg nem tudja elvégezni a műveletet. Próbálkozzon újra később.
Cikkek 1–20