Results 11 to 20 of about 401,511 (278)
Mapping the drivers of uncertainty in atmospheric selenium deposition with global sensitivity analysis [PDF]
Atmospheric Chemistry and Physics, 2020 An estimated 0.5–1 billion people globally have inadequate intakes of selenium (Se), due to a lack of bioavailable Se in agricultural soils. Deposition from the atmosphere, especially through precipitation, is an important source of Se to soils. However,
A. Feinberg +8 more
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Uncertainty Quantification of Reactivity Scales [PDF]
ChemPhysChem, 2021 AbstractThe front cover artwork is provided by Prof. Ricardo A. Mata from the University of Göttingen. The image contrasts single‐valued reactivity parameters and distributions thereof. The latter allow chemists to better assess relative reactivity and, therefore, support synthesis planning.
Proppe, Jonny +3 more
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The Gaussian Process Modeling Module in UQLab [PDF]
Journal of Soft Computing in Civil Engineering, 2018 We introduce the Gaussian process (GP) modeling module developed within the UQLab software framework. The novel design of the GP-module aims at providing seamless integration of GP modeling into any uncertainty quantification workflow, as well as a ...
Christos Lataniotis +2 more
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Geometry of martensite needles in shape memory alloys
Comptes Rendus. Mathématique, 2021 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
Frontiers in Computer Science, 2022 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]
Hydrology and Earth System Sciences, 2019 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
Nuclear Engineering and Technology, 2021 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
IEEE Open Journal of the Communications Society, 2020 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]
ESAIM: Proceedings and SurveysTo 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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GENERATIONS IN BAYESIAN NETWORKS
Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska, 2019 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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