This paper considers the problem of reliability analysis of that consists groups of components organized in parallel and/or in serial given the reliability of the basic component. The mathematical tool used to tackle this problem is that of Bayesian networks (BN) that derive from convergence of statistics and Artificial Intelligence (AI). It consists of the representation of probabilistic causal relation between variables of a system
Nowadays, the scientific community is looking for ways to understand the effect of software executio...
abstract: A quantitative analysis of a system that has a complex reliability structure always involv...
Analyzing the impact of software execution on the reliability of a complex digital system is an incr...
This paper presents an extension of Bayesian networks (BN) applied to reliability analysis. We devel...
Over the last decade, Bayesian networks (BNs) have become a popular tool for modeling many kinds of ...
Over the last decade, Bayesian networks (BNs) have become a popular tool for modelling many kinds of...
abstract: Bayesian networks are powerful tools in system reliability assessment due to their flexibi...
A Bayesian network (BN) is a powerful tool to represent the quantitative and qualitative features of...
Bayesian Networks (BN) provide robust probabilistic methods of reasoning under uncertainty, but desp...
This paper proposes a methodology to apply Bayesian networks to structural system reliability reasse...
AbstractIn this paper, we present an approach to reliability modeling and analysis based on the auto...
In this paper, we present an approach to reliability modeling and analysis based on the automatic c...
A common goal of the papers in this thesis is to propose, formalize and exemplify the use of Bayesia...
Abstract: In this paper, system reliability allocation using BN(Bayesian Network) was researched. Th...
The Bayesian network (BN) is a powerful model for probabilistic knowledge representation and inferen...
Nowadays, the scientific community is looking for ways to understand the effect of software executio...
abstract: A quantitative analysis of a system that has a complex reliability structure always involv...
Analyzing the impact of software execution on the reliability of a complex digital system is an incr...
This paper presents an extension of Bayesian networks (BN) applied to reliability analysis. We devel...
Over the last decade, Bayesian networks (BNs) have become a popular tool for modeling many kinds of ...
Over the last decade, Bayesian networks (BNs) have become a popular tool for modelling many kinds of...
abstract: Bayesian networks are powerful tools in system reliability assessment due to their flexibi...
A Bayesian network (BN) is a powerful tool to represent the quantitative and qualitative features of...
Bayesian Networks (BN) provide robust probabilistic methods of reasoning under uncertainty, but desp...
This paper proposes a methodology to apply Bayesian networks to structural system reliability reasse...
AbstractIn this paper, we present an approach to reliability modeling and analysis based on the auto...
In this paper, we present an approach to reliability modeling and analysis based on the automatic c...
A common goal of the papers in this thesis is to propose, formalize and exemplify the use of Bayesia...
Abstract: In this paper, system reliability allocation using BN(Bayesian Network) was researched. Th...
The Bayesian network (BN) is a powerful model for probabilistic knowledge representation and inferen...
Nowadays, the scientific community is looking for ways to understand the effect of software executio...
abstract: A quantitative analysis of a system that has a complex reliability structure always involv...
Analyzing the impact of software execution on the reliability of a complex digital system is an incr...