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 …

Bayesian network (BN) modeling is a rapidly advancing field. Here we explore new methods
by which BN model development and application are being joined with other tools and …

The second edition of this bestseller provides a practical and accessible introduction to the
main concepts, foundation, and applications of Bayesian networks. This edition contains a …

Background modeling is an important component of many vision systems. Existing work in
the area has mostly addressed scenes that consist of static or quasi-static structures. When …

In this study, we applied Bayesian networks to prioritize the factors that influence hazardous
material (Hazmat) transportation accidents. The Bayesian network structure was built based …

Organizational factors are the major root causes of human errors, while there have been no
formal causal model of human behavior to model the effects of organizational factors on …

Perhaps no other topic in risk analysis is more difficult, more controversial, or more important
to risk management policy analysts and decision-makers than how to draw valid, correctly …

This article attempts to investigate the various types of threats that exist in healthcare
information systems (HIS). A study has been carried out in one of the government-supported …

The risk management of hazardous materials (HazMats) transportation is a systematic
process consisting of risk identification, evaluation, and control. A quality function …

Recently, depression has becomes a widespread disease throughout the world. However,
most people are not aware of the possibility of becoming depressed during their daily lives …