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A bayesian network approach for systemic risk analysis in unmanned aerial vehicle (UAV) operations. [PDF]
Wang L, Zhu M, Li N.
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AI-assisted reliability-based design framework for tunnel concrete linings in weak rocks. [PDF]
Khani J +4 more
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Social Impact and Economic Burden of Uncoded Hyponatremia in Elderly - A Cost-of-Illness Study. [PDF]
Weinrebe W +6 more
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Procedure FAILURE — The computation of probability of failure
Advances in Engineering Software and Workstations, 1991Summary: This article presents the description of the procedure FAILURE which may be used for the probability analysis of practically any reliability condition. The estimation of the probability of failures is based on the simulation method Monte Carlo.
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Execution Ordering in AND/OR Graphs with Failure Probabilities
Proceedings of the International Symposium on Combinatorial Search, 2021In this paper we consider finding solutions for problems represented using AND/OR graphs, which contain tasks that can fail when executed. In our setting each node represent an atomic task which is associated with a failure probability and a rollback penalty. This paper reports the following contributions - (a) an algorithm for finding
Priyankar Ghosh +2 more
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Abstracting from failure probabilities
Proceedings Second International Conference on Application of Concurrency to System Design, 2002In fault-tolerant computing, dependability of systems is usually demonstrated by abstracting from failure probabilities (under simplifying assumptions on failure occurrences). In the specification framework Focus, we show under which conditions and to which extent this is sound: We use a specification language that is interpreted in the usual abstract ...
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General Probability of System Failure
IEEE Transactions on Reliability, 1983This paper presents a general method to determine probabilities of failure of any fixed subset of coherent system components under various conditions. The method uses a known reliability structure of the system and the known joint probability distribution of its components times-to- failure.
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Estimating the probability of failure when testing reveals no failures
IEEE Transactions on Software Engineering, 1992Formulas for estimating the probability of failure when testing reveals no errors are introduced. These formulas incorporate random testing results, information about the input distribution; and prior assumptions about the probability of failure of the software.
Keith W. Miller 0001 +6 more
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