Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Roles of artificial intelligence in construction engineering and management: A critical review and future trends
With the extensive adoption of artificial intelligence (AI), construction engineering and
management (CEM) is experiencing a rapid digital transformation. Since AI-based solutions …
management (CEM) is experiencing a rapid digital transformation. Since AI-based solutions …
[HTML][HTML] Safety risk management of underground engineering in China: Progress, challenges and strategies
Q Qian, P Lin - Journal of Rock Mechanics and Geotechnical …, 2016 - Elsevier
Underground construction in China is featured by large scale, high speed, long construction
period, complex operation and frustrating situations regarding project safety. Various …
period, complex operation and frustrating situations regarding project safety. Various …
Multi-classifier information fusion in risk analysis
This paper develops a novel multi-classifier information fusion approach that integrates the
probabilistic support vector machine (SVM) and the improved Dempster-Shafer (DS) …
probabilistic support vector machine (SVM) and the improved Dempster-Shafer (DS) …
Improved fuzzy Bayesian network-based risk analysis with interval-valued fuzzy sets and D–S evidence theory
A novel risk analysis approach is developed by merging interval-valued fuzzy sets (IVFSs),
improved Dempster-Shafer (DS) evidence theory, and fuzzy Bayesian networks (BNs) …
improved Dempster-Shafer (DS) evidence theory, and fuzzy Bayesian networks (BNs) …
[HTML][HTML] A decision support system for selection and risk management of sustainability governance approaches in multi-tier supply chain
Lower-tier suppliers' sustainability noncompliance and focal company's failure at meeting
the expectations of the stakeholders to extend sustainability towards lower-tier suppliers …
the expectations of the stakeholders to extend sustainability towards lower-tier suppliers …
Constructing a Bayesian network model for improving safety behavior of employees at workplaces
Introduction Unsafe behavior increases the risk of accident at workplaces and needs to be
managed properly. The aim of the present study was to provide a model for managing and …
managed properly. The aim of the present study was to provide a model for managing and …
A novel fuzzy dynamic Bayesian network for dynamic risk assessment and uncertainty propagation quantification in uncertainty environment
Risk assessment (RA) plays a vital role in safety engineering. The conventional RA
approaches have limited capabilities in handling time dependence and data uncertainty …
approaches have limited capabilities in handling time dependence and data uncertainty …
A hybrid BN-HFACS model for predicting safety performance in construction projects
Lacking a holistic framework for analyzing risk factors would result in the inaccurate
assessment of safety performance and poor safety management. This research aims to …
assessment of safety performance and poor safety management. This research aims to …
A data-driven and knowledge graph-based analysis of the risk hazard coupling mechanism in subway construction accidents
With the development and expansion of subway construction, accidents usually cause
economic losses and seriously threaten personnel safety. Exploring the experience and …
economic losses and seriously threaten personnel safety. Exploring the experience and …