Obserwuj
Limao Zhang
Limao Zhang
Professor, School of Civil and Hydraulic Engineering, Huazhong University of Science and Technology
Zweryfikowany adres z hust.edu.cn
Tytuł
Cytowane przez
Cytowane przez
Rok
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
10192021
A BIM-data mining integrated digital twin framework for advanced project management
Y Pan, L Zhang
Automation in Construction 124, 103564, 2021
4502021
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
3102014
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
2382023
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
2262019
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
2212020
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
2012015
Prospective safety performance evaluation on construction sites
X Wu, Q Liu, L Zhang, MJ Skibniewski, Y Wang
Accident Analysis & Prevention 78, 58-72, 2015
1982015
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
1962016
Multi-classifier information fusion in risk analysis
Y Pan, L Zhang, X Wu, MJ Skibniewski
Information Fusion, 2020
1932020
Computational methodologies for optimal sensor placement in structural health monitoring: A review
Y Tan, L Zhang
Structural Health Monitoring 19 (4), 1287-1308, 2020
1692020
Optimizing energy efficiency and thermal comfort in building green retrofit
Q Li, L Zhang, L Zhang, X Wu
Energy 237, 121509, 2021
1682021
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
1552020
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
1522017
Multi-objective optimization for improved project management: Current status and future directions
K Guo, L Zhang
Automation in Construction 139, 104256, 2022
1402022
Data-driven estimation of building energy consumption with multi-source heterogeneous data
Y Pan, L Zhang
Applied Energy 268, 114965, 2020
1372020
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
1332016
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
1332014
Multiobjective optimization of building energy consumption based on BIM-DB and LSSVM-NSGA-II
B Chen, Q Liu, H Chen, L Wang, T Deng, L Zhang, X Wu
Journal of Cleaner Production 294, 126153, 2021
1282021
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
1252017
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