Results 11 to 20 of about 78,109 (159)
Geometry of martensite needles in shape memory alloys
We study the geometry of needle-shaped domains in shape-memory alloys. Needle-shaped domains are ubiquitously found in martensites around macroscopic interfaces between regions which are laminated in different directions, or close to macroscopic ...
Conti, Sergio +4 more
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Quantum-Inspired Uncertainty Quantification
Reasonable quantification of uncertainty is a major issue of cognitive infocommunications, and logic is a backbone for successful communication. Here, an axiomatic approach to quantum logic, which highlights similarity to and differences to classical ...
Günther Wirsching
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Contaminant source localization via Bayesian global optimization [PDF]
Contaminant source localization problems require efficient and robust methods that can account for geological heterogeneities and accommodate relatively small data sets of noisy observations.
G. Pirot +7 more
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Uncertainty quantification and propagation with probability boxes
In the last decade, the best estimate plus uncertainty methodologies in nuclear technology and nuclear power plant design have become a trending topic in the nuclear field.
L. Duran-Vinuesa, D. Cuervo
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An Accurate Sample Rejection Estimator of the Outage Probability With Equal Gain Combining
We evaluate the outage probability (OP) for L-branch equal gain combining (EGC) receivers operating over fading channels, i.e., equivalently the cumulative distribution function (CDF) of the sum of the L channel envelopes.
Nadhir Ben Rached +3 more
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Multidimensional integration using machine learning and Monte Carlo methods for acoustic predictions [PDF]
To predict underwater noise radiated by a ship, various numerical methods are available. In underwater acoustics, the most effective prediction methods consist in solving an acoustic analogy using an integral formulation.
Coiffard Théo +5 more
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Uncertainty Quantification of Imperfect Diagnostics
The operable state of a system is maintained during operation, which requires knowledge of the system’s state. Technical diagnostics, as a process of accurately obtaining information about the system state, becomes a crucial stage in the life cycle of ...
Vladimir Ulansky, Ahmed Raza
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GENERATIONS IN BAYESIAN NETWORKS
This paper focuses on the study of some aspects of the theory of oriented graphs in Bayesian networks. In some papers on the theory of Bayesian networks, the concept of “Generation of vertices” denotes a certain set of vertices with many parents ...
Alexander Litvinenko +3 more
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Convex Optimal Uncertainty Quantification [PDF]
Accepted for publication in SIAM Journal on ...
Han, Shuo +4 more
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The current handling of data in earth observation, modelling and prediction measures gives cause for critical consideration, since we all too often carelessly ignore data uncertainty.
Hendrik Paasche +4 more
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