Applications of Bayesian networks and Petri nets in safety, reliability, and risk assessments: A review
Abstract System safety, reliability and risk analysis are important tasks that are performed
throughout the system life-cycle to ensure the dependability of safety-critical systems …
throughout the system life-cycle to ensure the dependability of safety-critical systems …
Application of machine learning in supply chain management: a comprehensive overview of the main areas
In today's complex and ever‐changing world, concerns about the lack of enough data have
been replaced by concerns about too much data for supply chain management (SCM). The …
been replaced by concerns about too much data for supply chain management (SCM). The …
Predicting supply chain risks using machine learning: The trade-off between performance and interpretability
Managing supply chain risks has received increased attention in recent years, aiming to
shield supply chains from disruptions by predicting their occurrence and mitigating their …
shield supply chains from disruptions by predicting their occurrence and mitigating their …
Automatic defect detection and segmentation of tunnel surface using modified Mask R-CNN
The detection of tunnel surface defects is the very important part to ensure tunnel safety.
Traditional tunnel detection mainly relies on naked-eye inspection, which is time-consuming …
Traditional tunnel detection mainly relies on naked-eye inspection, which is time-consuming …
Identifying coal mine safety production risk factors by employing text mining and Bayesian network techniques
S Li, M You, D Li, J Liu - Process safety and environmental protection, 2022 - Elsevier
Coal industry is a typical high-risk industry with frequent accidents. In an effort to ensure
workers' safety and health, and reduce the probability of productivity decrease, it is essential …
workers' safety and health, and reduce the probability of productivity decrease, it is essential …
Visualization technology-based construction safety management: A review
Construction safety management has been a popular issue in research and practice in
recent years due to the high accident and death rates in the construction industry. The …
recent years due to the high accident and death rates in the construction industry. The …
A review of risk management through BIM and BIM-related technologies
Risk management in the AEC (Architecture, Engineering and Construction) industry is a
global issue. Failure to adequately manage risks may not only lead to difficulties in meeting …
global issue. Failure to adequately manage risks may not only lead to difficulties in meeting …
Risk assessment of gas explosion in coal mines based on fuzzy AHP and bayesian network
M Li, H Wang, D Wang, Z Shao, S He - Process Safety and Environmental …, 2020 - Elsevier
Gas explosion is one of the most deadly hazards in underground coal mining. Risk
assessment has played an effective role in avoiding gas explosions and revising coal mine …
assessment has played an effective role in avoiding gas explosions and revising coal mine …
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) …
Bayesian network modeling of accident investigation reports for aviation safety assessment
Safety assurance is of paramount importance in the air transportation system. In this paper,
we analyze the historical passenger airline accidents that happened from 1982 to 2006 as …
we analyze the historical passenger airline accidents that happened from 1982 to 2006 as …