Research graph
References from Safety risk assessment of higher-order couplings in utility tunnels using multi-source monitoring data. Local targets link to admitted publications; unresolved targets remain external evidence.
A risk assessment model of a sewer pipeline in an underground utility tunnel based on a Bayesian network
10.1016/j.tust.2020.103473 · 2020 · External reference
Energy-based coupling risk assessment (CRA) model for urban underground utility tunnels
10.1016/j.ress.2024.110255 · 2024 · External reference
Addressing alarm flood situations in the process industries through alarm summary display design and alarm response strategy
10.1016/j.ergon.2013.11.008 · 2014 · External reference
A data-driven alarm and event management framework
10.1016/j.jlp.2019.103959 · 2019 · External reference
On expected detection delays for alarm systems with deadbands and delay-timers
10.1016/j.jprocont.2011.06.019 · 2011 · External reference
Humanitarian logistics network design under mixed uncertainty
10.1016/j.ejor.2015.08.059 · 2016 · External reference
Empowering underground utility tunnel operation and maintenance with data intelligence: risk factors, prospects, and challenges
10.32604/sdhm.2024.058864 · 2025 · External reference
Risk assessment method combining complex networks with MCDA for multi-facility risk chain and coupling in UUS
10.1016/j.tust.2021.104242 · 2022 · External reference
Risk assessment of utility tunnels through risk interaction-based deep learning
10.1016/j.ress.2023.109626 · 2024 · External reference
Applications of machine learning methods for engineering risk assessment – a review
10.1016/j.ssci.2019.09.015 · 2020 · External reference
Integration of deep learning and Bayesian networks for condition and operation risk monitoring of complex engineering systems
10.1016/j.ress.2022.108433 · 2022 · External reference
Hypergraph learning: methods and practices
2021 · External reference
Uncertainty quantification of a deep learning model for failure rate prediction of water distribution networks
10.1016/j.ress.2023.109088 · 2023 · External reference
Enhancing construction safety: machine learning-based classification of injury types
10.1016/j.ssci.2023.106102 · 2023 · External reference
Condition monitoring using machine learning: a review of theory, applications, and recent advances
10.1016/j.eswa.2023.119738 · 2023 · External reference
Fault detection in complex mechatronic systems by a hierarchical graph convolution attention network based on causal paths
10.1016/j.ress.2023.109872 · 2024 · External reference
Fusing logic rule-based hybrid variable graph neural network approaches to fault diagnosis of industrial processes
10.1016/j.eswa.2023.121753 · 2024 · External reference
Towards trustworthy remaining useful life prediction through multi-source information fusion and a novel LSTM-DAU model
10.1016/j.ress.2024.110047 · 2024 · External reference
10.1016/j.tust.2024.106329
10.1016/j.tust.2024.106329 · External reference
Graph neural networks for construction applications
10.1016/j.autcon.2023.104984 · 2023 · External reference
Robustness study of hybrid hypergraphs
10.1016/j.ress.2024.110474 · 2024 · External reference
Artificial intelligence and smart vision for building and construction 4.0: machine and deep learning methods and applications
10.1016/j.autcon.2022.104440 · 2022 · External reference
Spatial predictions of harsh driving events using statistical and machine learning methods
10.1016/j.ssci.2022.105722 · 2022 · External reference
An approach to constructing effective training data for a classification model to evaluate the reliability of a passive safety system
10.1016/j.ress.2022.108446 · 2022 · External reference
Novel IAPSO-LSTM neural network for risk analysis and early warning of food safety
10.1016/j.eswa.2023.120747 · 2023 · External reference
An ensemble model using temporal convolution and dual attention gated recurrent unit to analyze risk of civil aircraft
10.1016/j.eswa.2023.121423 · 2024 · External reference
Research on multi-factor adaptive integrated early warning method for coal mine disaster risks based on multi-task learning
10.1016/j.ress.2025.111002 · 2025 · External reference
Uncertainty-aware trustworthy weather-driven failure risk predictor for overhead contact lines
10.1016/j.ress.2023.109734 · 2024 · External reference
Trustworthy interval prediction method with uncertainty estimation based on evidence neural networks
10.1016/j.ress.2025.111086 · 2025 · External reference
An uncertainty-guided contrastive learning method for OOD detection in trustworthy fault diagnosis
10.1016/j.ress.2025.111967 · 2026 · External reference
Construction safety predictions with multi-head attention graph and sparse accident networks
10.1016/j.autcon.2023.105102 · 2023 · External reference
Network analysis and graph neural network (GNN)-based link prediction of construction hazards
10.1016/j.autcon.2025.106302 · 2025 · External reference
Using graph attention network for causal reasoning of construction safety accidents
10.1061/jcemd4.coeng-16609 · 2025 · External reference
A data-driven and knowledge graph-based research on safety risk-coupled evolution analysis and assessment in shield tunneling
10.1016/j.tust.2025.106657 · 2025 · External reference
Temporal multi-resolution hypergraph attention network for remaining useful life prediction of rolling bearings
10.1016/j.ress.2024.110143 · 2024 · External reference
Hypergraph convolution network for urban traffic forecast incorporating high-order and multi-modal semantic correlations
10.1016/j.eswa.2025.128410 · 2025 · External reference
An uncertainty-informed framework for trustworthy fault diagnosis in safety-critical applications
10.1016/j.ress.2022.108865 · 2023 · External reference
Uncertainty-aware risk mapping with passive WiFi and modified zonal safety analysis (mZSA) in BIM for construction
10.1016/j.autcon.2026.106779 · 2026 · External reference
AGFNN: a smart platform for uncertainty-aware prediction of freezing time in artificial ground freezing
10.1016/j.tust.2025.107331 · 2026 · External reference
Self-adaptive hybrid uncertainty integration method via deterministic analytic formula
10.1016/j.ress.2025.111427 · 2025 · External reference
A novel transformer-based few-shot learning method for intelligent fault diagnosis with noisy labels under varying working conditions
10.1016/j.ress.2024.110400 · 2024 · External reference
Risk-aware classification via uncertainty quantification
10.1016/j.eswa.2024.125906 · 2025 · External reference
A decision support system to assess the operational safety and economic benefits of risk-based inspection implementation strategies
10.1016/j.ssci.2024.106570 · 2024 · External reference
Latent dirichlet allocation
2003 · External reference
Interactions-based risk clustering methodologies and algorithms for complex project management
10.1016/j.ijpe.2010.11.022 · 2013 · External reference
Forecasting PM2.5 concentrations with spatial-temporal hypergraph attention network: Modeling geospatial correlations and latent associations among stations
10.1016/j.eswa.2025.128298 · 2025 · External reference
Hypergraph convolutional networks with multi-ordering relations for cross-document event coreference resolution
10.1016/j.inffus.2024.102769 · 2025 · External reference
Unresolved reference
External reference
Unresolved reference
External reference
Fire risk assessment of urban utility tunnels based on improved cloud model and evidence theory
10.3390/app13042204 · 2023 · External reference
Soft labelling based on triangular distributions for ordinal classification
10.1016/j.inffus.2023.01.003 · 2023 · External reference
XGBoost algorithm-based prediction of concrete electrical resistivity for structural health monitoring
10.1016/j.autcon.2020.103155 · 2020 · External reference
Predicting fatal fall from heights accidents using random forest classification machine learning model
10.1016/j.ssci.2022.106023 · 2023 · External reference
Enhancing data classification using locally informed weighted k-nearest neighbor algorithm
10.1016/j.eswa.2025.126942 · 2025 · External reference
Two-stage support vector machine-enabled deep excavation settlement prediction considering class imbalance and multi-source uncertainties
10.1016/j.ress.2023.109578 · 2024 · External reference
Probabilistic failure assessment of oil and gas gathering pipelines using machine learning approach
10.1016/j.ress.2024.110747 · 2025 · External reference
A deep neural network and Bayesian method based framework for all-terminal network reliability estimation considering degradation
10.1016/j.ress.2022.108881 · 2023 · External reference
Deep belief network based intrusion detection techniques: a survey
10.1016/j.eswa.2020.114170 · 2021 · External reference
Assessing human situation awareness reliability considering fatigue and mood using EEG data: a Bayesian neural network-Bayesian network approach
2025 · External reference
Predicting the cost of rework in high-rise buildings using graph convolutional networks
10.1061/jcemd4.coeng-14739 · 2024 · External reference
LSTM-based deformation forecasting for additional stress estimation of existing tunnel structure induced by adjacent shield tunneling
10.1016/j.tust.2024.105664 · 2024 · External reference
Dynamic spatial–temporal graph convolutional recurrent networks for traffic flow forecasting
10.1016/j.eswa.2023.122381 · 2024 · External reference
LSTM-ReGAT: a network-centric approach for cryptocurrency price trend prediction
10.1016/j.dss.2023.113955 · 2023 · External reference
XGBoost algorithm-based prediction of concrete electrical resistivity for structural health monitoring
10.1016/j.autcon.2020.103155 · ExternalCitation · doi-reference
Artificial intelligence and smart vision for building and construction 4.0: machine and deep learning methods and applications
10.1016/j.autcon.2022.104440 · ExternalCitation · doi-reference
Graph neural networks for construction applications
10.1016/j.autcon.2023.104984 · ExternalCitation · doi-reference
Construction safety predictions with multi-head attention graph and sparse accident networks
10.1016/j.autcon.2023.105102 · ExternalCitation · doi-reference
Network analysis and graph neural network (GNN)-based link prediction of construction hazards
10.1016/j.autcon.2025.106302 · ExternalCitation · doi-reference
Uncertainty-aware risk mapping with passive WiFi and modified zonal safety analysis (mZSA) in BIM for construction
10.1016/j.autcon.2026.106779 · ExternalCitation · doi-reference
LSTM-ReGAT: a network-centric approach for cryptocurrency price trend prediction
10.1016/j.dss.2023.113955 · ExternalCitation · doi-reference
Humanitarian logistics network design under mixed uncertainty
10.1016/j.ejor.2015.08.059 · ExternalCitation · doi-reference
Addressing alarm flood situations in the process industries through alarm summary display design and alarm response strategy
10.1016/j.ergon.2013.11.008 · ExternalCitation · doi-reference
Deep belief network based intrusion detection techniques: a survey
10.1016/j.eswa.2020.114170 · ExternalCitation · doi-reference
Condition monitoring using machine learning: a review of theory, applications, and recent advances
10.1016/j.eswa.2023.119738 · ExternalCitation · doi-reference
Novel IAPSO-LSTM neural network for risk analysis and early warning of food safety
10.1016/j.eswa.2023.120747 · ExternalCitation · doi-reference
An ensemble model using temporal convolution and dual attention gated recurrent unit to analyze risk of civil aircraft
10.1016/j.eswa.2023.121423 · ExternalCitation · doi-reference
Fusing logic rule-based hybrid variable graph neural network approaches to fault diagnosis of industrial processes
10.1016/j.eswa.2023.121753 · ExternalCitation · doi-reference
Dynamic spatial–temporal graph convolutional recurrent networks for traffic flow forecasting
10.1016/j.eswa.2023.122381 · ExternalCitation · doi-reference
Risk-aware classification via uncertainty quantification
10.1016/j.eswa.2024.125906 · ExternalCitation · doi-reference
Enhancing data classification using locally informed weighted k-nearest neighbor algorithm
10.1016/j.eswa.2025.126942 · ExternalCitation · doi-reference
Forecasting PM2.5 concentrations with spatial-temporal hypergraph attention network: Modeling geospatial correlations and latent associations among stations
10.1016/j.eswa.2025.128298 · ExternalCitation · doi-reference
Hypergraph convolution network for urban traffic forecast incorporating high-order and multi-modal semantic correlations
10.1016/j.eswa.2025.128410 · ExternalCitation · doi-reference
Interactions-based risk clustering methodologies and algorithms for complex project management
10.1016/j.ijpe.2010.11.022 · ExternalCitation · doi-reference
Soft labelling based on triangular distributions for ordinal classification
10.1016/j.inffus.2023.01.003 · ExternalCitation · doi-reference
Hypergraph convolutional networks with multi-ordering relations for cross-document event coreference resolution
10.1016/j.inffus.2024.102769 · ExternalCitation · doi-reference
A data-driven alarm and event management framework
10.1016/j.jlp.2019.103959 · ExternalCitation · doi-reference
On expected detection delays for alarm systems with deadbands and delay-timers
10.1016/j.jprocont.2011.06.019 · ExternalCitation · doi-reference
Integration of deep learning and Bayesian networks for condition and operation risk monitoring of complex engineering systems
10.1016/j.ress.2022.108433 · ExternalCitation · doi-reference
An approach to constructing effective training data for a classification model to evaluate the reliability of a passive safety system
10.1016/j.ress.2022.108446 · ExternalCitation · doi-reference
An uncertainty-informed framework for trustworthy fault diagnosis in safety-critical applications
10.1016/j.ress.2022.108865 · ExternalCitation · doi-reference
A deep neural network and Bayesian method based framework for all-terminal network reliability estimation considering degradation
10.1016/j.ress.2022.108881 · ExternalCitation · doi-reference
Uncertainty quantification of a deep learning model for failure rate prediction of water distribution networks
10.1016/j.ress.2023.109088 · ExternalCitation · doi-reference
Two-stage support vector machine-enabled deep excavation settlement prediction considering class imbalance and multi-source uncertainties
10.1016/j.ress.2023.109578 · ExternalCitation · doi-reference
Risk assessment of utility tunnels through risk interaction-based deep learning
10.1016/j.ress.2023.109626 · ExternalCitation · doi-reference
Uncertainty-aware trustworthy weather-driven failure risk predictor for overhead contact lines
10.1016/j.ress.2023.109734 · ExternalCitation · doi-reference
Fault detection in complex mechatronic systems by a hierarchical graph convolution attention network based on causal paths
10.1016/j.ress.2023.109872 · ExternalCitation · doi-reference
Towards trustworthy remaining useful life prediction through multi-source information fusion and a novel LSTM-DAU model
10.1016/j.ress.2024.110047 · ExternalCitation · doi-reference
Temporal multi-resolution hypergraph attention network for remaining useful life prediction of rolling bearings
10.1016/j.ress.2024.110143 · ExternalCitation · doi-reference
Energy-based coupling risk assessment (CRA) model for urban underground utility tunnels
10.1016/j.ress.2024.110255 · ExternalCitation · doi-reference
A novel transformer-based few-shot learning method for intelligent fault diagnosis with noisy labels under varying working conditions
10.1016/j.ress.2024.110400 · ExternalCitation · doi-reference
Robustness study of hybrid hypergraphs
10.1016/j.ress.2024.110474 · ExternalCitation · doi-reference
Probabilistic failure assessment of oil and gas gathering pipelines using machine learning approach
10.1016/j.ress.2024.110747 · ExternalCitation · doi-reference
Research on multi-factor adaptive integrated early warning method for coal mine disaster risks based on multi-task learning
10.1016/j.ress.2025.111002 · ExternalCitation · doi-reference
Trustworthy interval prediction method with uncertainty estimation based on evidence neural networks
10.1016/j.ress.2025.111086 · ExternalCitation · doi-reference
Self-adaptive hybrid uncertainty integration method via deterministic analytic formula
10.1016/j.ress.2025.111427 · ExternalCitation · doi-reference
An uncertainty-guided contrastive learning method for OOD detection in trustworthy fault diagnosis
10.1016/j.ress.2025.111967 · ExternalCitation · doi-reference
Applications of machine learning methods for engineering risk assessment – a review
10.1016/j.ssci.2019.09.015 · ExternalCitation · doi-reference
Spatial predictions of harsh driving events using statistical and machine learning methods
10.1016/j.ssci.2022.105722 · ExternalCitation · doi-reference
Predicting fatal fall from heights accidents using random forest classification machine learning model
10.1016/j.ssci.2022.106023 · ExternalCitation · doi-reference
Enhancing construction safety: machine learning-based classification of injury types
10.1016/j.ssci.2023.106102 · ExternalCitation · doi-reference
A decision support system to assess the operational safety and economic benefits of risk-based inspection implementation strategies
10.1016/j.ssci.2024.106570 · ExternalCitation · doi-reference
A risk assessment model of a sewer pipeline in an underground utility tunnel based on a Bayesian network
10.1016/j.tust.2020.103473 · ExternalCitation · doi-reference
Risk assessment method combining complex networks with MCDA for multi-facility risk chain and coupling in UUS
10.1016/j.tust.2021.104242 · ExternalCitation · doi-reference
LSTM-based deformation forecasting for additional stress estimation of existing tunnel structure induced by adjacent shield tunneling
10.1016/j.tust.2024.105664 · ExternalCitation · doi-reference
10.1016/j.tust.2024.106329
10.1016/j.tust.2024.106329 · ExternalCitation · doi-reference
A data-driven and knowledge graph-based research on safety risk-coupled evolution analysis and assessment in shield tunneling
10.1016/j.tust.2025.106657 · ExternalCitation · doi-reference
AGFNN: a smart platform for uncertainty-aware prediction of freezing time in artificial ground freezing
10.1016/j.tust.2025.107331 · ExternalCitation · doi-reference
Predicting the cost of rework in high-rise buildings using graph convolutional networks
10.1061/jcemd4.coeng-14739 · ExternalCitation · doi-reference
Using graph attention network for causal reasoning of construction safety accidents
10.1061/jcemd4.coeng-16609 · ExternalCitation · doi-reference
Empowering underground utility tunnel operation and maintenance with data intelligence: risk factors, prospects, and challenges
10.32604/sdhm.2024.058864 · ExternalCitation · doi-reference
Fire risk assessment of urban utility tunnels based on improved cloud model and evidence theory
10.3390/app13042204 · ExternalCitation · doi-reference
