Limao Zhang
Orcid: 0000-0002-7245-3741
According to our database1,
Limao Zhang
authored at least 92 papers
between 2013 and 2025.
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Bibliography
2025
Uncertainty-based multi-objective optimization in twin tunnel design considering fluid-solid coupling.
Reliab. Eng. Syst. Saf., 2025
Reliab. Eng. Syst. Saf., 2025
EMNet: An ensemble deep learning approach for geological condition detection in tunnel excavation.
Expert Syst. Appl., 2025
Data-driven optimization for enhanced excavation efficiency in tunnel construction: A case study.
Eng. Appl. Artif. Intell., 2025
Physics-guided deep reinforcement learning for improved operation of TBM considering kinetic inertia stability.
Adv. Eng. Informatics, 2025
2024
Data-driven joint multi-objective prediction and optimization for advanced control during tunnel construction.
Expert Syst. Appl., March, 2024
A causal-temporal graphic convolutional network (CT-GCN) approach for TBM load prediction in tunnel excavation.
Expert Syst. Appl., March, 2024
A probabilistic deep reinforcement learning approach for optimal monitoring of a building adjacent to deep excavation.
Comput. Aided Civ. Infrastructure Eng., March, 2024
Modeling urban rail transit system resilience under natural disasters: A two-layer network framework based on link flow.
Reliab. Eng. Syst. Saf., January, 2024
Simulation-based rescue plan modeling and performance assessment towards resilient metro systems under emergency.
Reliab. Eng. Syst. Saf., January, 2024
Data-driven multi-step prediction and analysis of monthly rainfall using explainable deep learning.
Expert Syst. Appl., January, 2024
Multiplex networks in resilience modeling of critical infrastructure systems: A systematic review.
Reliab. Eng. Syst. Saf., 2024
Dynamic reliability analysis of Aerial Building Machine under extreme wind loads using improved QBDC-based active learning.
Reliab. Eng. Syst. Saf., 2024
Expert Syst. Appl., 2024
Safety assessment of tunnel construction based on counterintuitivity detection using multi-profile multi-model ensemble learning.
Expert Syst. Appl., 2024
Eng. Appl. Artif. Intell., 2024
Automated position control of tunnel boring machine during excavation using deep reinforcement learning.
Appl. Soft Comput., 2024
Computational methodologies for critical infrastructure resilience modeling: A review.
Adv. Eng. Informatics, 2024
2023
Flood risk assessment and mitigation for metro stations: An evidential-reasoning-based optimality approach considering uncertainty of subjective parameters.
Reliab. Eng. Syst. Saf., October, 2023
Unsupervised Pixel-Level Detection of Rail Surface Defects Using Multistep Domain Adaptation.
IEEE Trans. Syst. Man Cybern. Syst., September, 2023
Time series clustering for TBM performance investigation using spatio-temporal complex networks.
Expert Syst. Appl., September, 2023
Multi-objective optimization ensembled generative design for large-diameter tunnel passing underneath existing tunnels.
Appl. Soft Comput., September, 2023
Probabilistic safety risk assessment in large-diameter tunnel construction using an interactive and explainable tree-based pipeline optimization method.
Appl. Soft Comput., August, 2023
Multi-objective robust optimization for enhanced safety in large-diameter tunnel construction with interactive and explainable AI.
Reliab. Eng. Syst. Saf., June, 2023
Causality-based multi-model ensemble learning for safety assessment in metro tunnel construction.
Reliab. Eng. Syst. Saf., June, 2023
Simulation-based multi-objective optimization towards proactive evacuation planning at metro stations.
Eng. Appl. Artif. Intell., April, 2023
Data-driven multi-step robust prediction of TBM attitude using a hybrid deep learning approach.
Adv. Eng. Informatics, January, 2023
Adv. Eng. Informatics, January, 2023
Safety-Oriented Credibility-Based Fuzzy Incremental Learning for Predicting Dependent Outputs.
IEEE Trans. Syst. Man Cybern. Syst., 2023
Probabilistic reliability assessment of twin tunnels considering fluid-solid coupling with physics-guided machine learning.
Reliab. Eng. Syst. Saf., 2023
A hybrid deep learning approach for dynamic attitude and position prediction in tunnel construction considering spatio-temporal patterns.
Expert Syst. Appl., 2023
Sampling-attention deep learning network with transfer learning for large-scale urban point cloud semantic segmentation.
Eng. Appl. Artif. Intell., 2023
Adaptive learning for single-output complex systems via data augmentation and data type identification.
Appl. Soft Comput., 2023
2022
IEEE Trans. Cybern., 2022
Multi-criteria group decision-making with cloud model and TOPSIS for alternative selection under uncertainty.
Soft Comput., 2022
Soft Comput., 2022
Enhancing the MEP Coordination Process with BIM Technology and Management Strategies.
Sensors, 2022
Simulation-based multi-objective optimization for enhanced safety of fire emergency response in metro stations.
Reliab. Eng. Syst. Saf., 2022
Reliab. Eng. Syst. Saf., 2022
Enhanced prediction intervals of tunnel-induced settlement using the genetic algorithm and neural network.
Reliab. Eng. Syst. Saf., 2022
An automated machine learning approach for earthquake casualty rate and economic loss prediction.
Reliab. Eng. Syst. Saf., 2022
Modeling and predicting rainfall time series using seasonal-trend decomposition and machine learning.
Knowl. Based Syst., 2022
Uncertainty-oriented reliability and risk-based output control for complex systems with compatibility considerations.
Inf. Sci., 2022
Randomness-oriented Multi-dimensional Cloud-based belief rule Base approach for complex system modeling.
Expert Syst. Appl., 2022
Deep learning modeling of public's sentiments towards temporal evolution of COVID-19 transmission.
Appl. Soft Comput., 2022
Data-driven prediction of building energy consumption using an adaptive multi-model fusion approach.
Appl. Soft Comput., 2022
Appl. Soft Comput., 2022
Data-driven estimation of TBM performance in soft soils using density-based spatial clustering and random forest.
Appl. Soft Comput., 2022
Detecting logical relationships in mechanical, electrical, and plumbing (MEP) systems with BIM using graph matching.
Adv. Eng. Informatics, 2022
Multi-class object detection in tunnels from 3D point clouds: An auto-optimized lazy learning approach.
Adv. Eng. Informatics, 2022
Modeling and analyzing dynamic social networks for behavioral pattern discovery in collaborative design.
Adv. Eng. Informatics, 2022
2021
Raw data (filtration concentration & streamflow height parameters) for training MPINN-UPC model and other ML models.
Dataset, October, 2021
Multi-objective optimization for limiting tunnel-induced damages considering uncertainties.
Reliab. Eng. Syst. Saf., 2021
Reliab. Eng. Syst. Saf., 2021
Reliab. Eng. Syst. Saf., 2021
Resilience assessment of regional areas against earthquakes using multi-source information fusion.
Reliab. Eng. Syst. Saf., 2021
Retraceable and online multi-objective active optimal control using belief rule base.
Knowl. Based Syst., 2021
Knowl. Based Syst., 2021
Hybrid deep learning of social media big data for predicting the evolution of COVID-19 transmission.
Knowl. Based Syst., 2021
An adaptive decision making method with copula Bayesian network for location selection.
Inf. Sci., 2021
Correlation-oriented complex system structural risk assessment using Copula and belief rule base.
Inf. Sci., 2021
Time-series interval prediction under uncertainty using modified double multiplicative neuron network.
Expert Syst. Appl., 2021
Eng. Appl. Artif. Intell., 2021
Estimating long-term impacts of tunnel infrastructure development on urban sustainability using granular computing.
Appl. Soft Comput., 2021
Cluster-based information fusion for probabilistic risk analysis in complex projects under uncertainty.
Appl. Soft Comput., 2021
Data-driven quantification of public-private partnership experience levels under uncertainty with Bayesian hierarchical model.
Appl. Soft Comput., 2021
Data-driven time series prediction based on multiplicative neuron model artificial neuron network.
Appl. Soft Comput., 2021
Explainable data-driven optimization for complex systems with non-preferential multiple outputs using belief rule base.
Appl. Soft Comput., 2021
2020
A new lossy compression algorithm for wireless sensor networks using Bayesian predictive coding.
Wirel. Networks, 2020
Improved Fuzzy Bayesian Network-Based Risk Analysis With Interval-Valued Fuzzy Sets and D-S Evidence Theory.
IEEE Trans. Fuzzy Syst., 2020
Mining event logs for knowledge discovery based on adaptive efficient fuzzy Kohonen clustering network.
Knowl. Based Syst., 2020
Hybrid belief rule base for regional railway safety assessment with data and knowledge under uncertainty.
Inf. Sci., 2020
Eng. Appl. Artif. Intell., 2020
Comput. Aided Civ. Infrastructure Eng., 2020
Performance risk assessment in public-private partnership projects based on adaptive fuzzy cognitive map.
Appl. Soft Comput., 2020
Appl. Soft Comput., 2020
2019
Reliab. Eng. Syst. Saf., 2019
2018
2017
Knowl. Based Syst., 2017
Performing Global Uncertainty and Sensitivity Analysis from Given Data in Tunnel Construction.
J. Comput. Civ. Eng., 2017
Intelligent Approach to Estimation of Tunnel-Induced Ground Settlement Using Wavelet Packet and Support Vector Machines.
J. Comput. Civ. Eng., 2017
Global Sensitivity Analysis of Tunnel-Induced Building Movements by a Precise Metamodel.
J. Comput. Civ. Eng., 2017
Appl. Soft Comput., 2017
Appl. Soft Comput., 2017
2016
Simulation-Based Analysis of Tunnel Boring Machine Performance in Tunneling Excavation.
J. Comput. Civ. Eng., 2016
2015
A dynamic Bayesian network based approach to safety decision support in tunnel construction.
Reliab. Eng. Syst. Saf., 2015
J. Intell. Robotic Syst., 2015
Proceedings of the 2015 Winter Simulation Conference, 2015
Proceedings of the 2015 Winter Simulation Conference, 2015
2014
Reliab. Eng. Syst. Saf., 2014
2013
Decision support analysis for safety control in complex project environments based on Bayesian Networks.
Expert Syst. Appl., 2013