Review of graph-based hazardous event detection methods for autonomous driving systems
Automated and autonomous vehicles are often required to operate in complex road
environments with potential hazards that may lead to hazardous events causing injury or …
environments with potential hazards that may lead to hazardous events causing injury or …
Reliability analysis of complex multi-state system with common cause failure based on evidential networks
With the increasing complexity and size of modern advanced engineering systems, the
traditional reliability theory cannot characterize and quantify the complex characteristics of …
traditional reliability theory cannot characterize and quantify the complex characteristics of …
Applications of Bayesian approaches in construction management research: a systematic review
Purpose Bayesian approaches have been widely applied in construction management (CM)
research due to their capacity to deal with uncertain and complicated problems. However, to …
research due to their capacity to deal with uncertain and complicated problems. However, to …
Dynamic availability assessment of safety critical systems using a dynamic Bayesian network
Availability analysis of safety critical systems is an integral part of ensuring safety both in
onshore and offshore process operations. However, the availability assessment of these …
onshore and offshore process operations. However, the availability assessment of these …
[HTML][HTML] Gestión de la tecnología e innovación: un Modelo de Redes Bayesianas
A Terán Bustamante, G Dávila Aragón… - Economía: teoría y …, 2019 - scielo.org.mx
La presente investigación tiene como propósito fundamental estudiar y analizar la gestión
de la tecnología e innovación a través de Redes Bayesianas, para lo cual se realiza un …
de la tecnología e innovación a través de Redes Bayesianas, para lo cual se realiza un …
A Bayesian Network risk model for estimating coastal maritime transportation delays following an earthquake in British Columbia
F Goerlandt, S Islam - Reliability Engineering & System Safety, 2021 - Elsevier
Coastal communities are vulnerable to the consequences of disasters such as hurricanes,
earthquakes and tsunamis. Often, such communities are heavily dependent on maritime …
earthquakes and tsunamis. Often, such communities are heavily dependent on maritime …
Safety integrity through self-adaptation for multi-sensor event detection: Methodology and case-study
Traditional safety-critical systems are engineered in a way to be predictable in all operating
conditions. They are common in industrial automation and transport applications where …
conditions. They are common in industrial automation and transport applications where …
Using Bayesian networks for environmental health risk assessment
S Pérez, C German-Labaume, S Mathiot, S Goix… - Environmental …, 2022 - Elsevier
The study investigated the potential relationships between air pollution, socio-economy, and
proven pathologies (eg, respiratory, cardiovascular) within an industrial area in Southern …
proven pathologies (eg, respiratory, cardiovascular) within an industrial area in Southern …
Machine Learning–Based Bayesian Framework for Interval Estimate of Unsafe-Event Prediction in Construction
Construction safety is a critical concern for industry and academia, and numerous models
and algorithms have been developed to predict incidents or accidents to facilitate proactive …
and algorithms have been developed to predict incidents or accidents to facilitate proactive …
Risk assessment for handling hazardous substances within the European industry: Available methodologies and research streams
After the Seveso disaster occurred more than 40 years ago, there has been an increasing
awareness of the potential impacts that similar accident events can occur in a wide range of …
awareness of the potential impacts that similar accident events can occur in a wide range of …