Results 21 to 30 of about 2,291,111 (185)
International Journal for Equity in Health, 2021 Background COVID-19 has caused almost unprecedented change across health, education, the economy and social interaction. It is widely understood that the existing mechanisms which shape health inequalities have resulted in COVID-19 outcomes following ...
Grant M. A. Wyper +6 more
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Data driven flavour model [PDF]
The European Physical Journal C, 2020 AbstractA bottom-up approach has been adopted to identify a flavour model that agrees with present experimental measurements. The charged fermion mass hierarchies suggest that only the top Yukawa term should be present at the renormalisable level. Similarly, describing the lightness of the active neutrinos through the type-I Seesaw mechanism, right ...
F. Arias-Aragón +3 more
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Towards Data-Driven Autonomics in Data Centers [PDF]
, 2015 Continued reliance on human operators for managing data centers is a major impediment for them from ever reaching extreme dimensions. Large computer systems in general, and data centers in particular, will ultimately be managed using predictive ...
Babaoglu, Ozalp, Sîrbu, Alina
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Data-driven Extraction of Intonation Contour Classes [PDF]
, 2007 In this paper we introduce the first steps towards a new datadriven method for extraction of intonation events that does not require any prerequisite prosodic labelling.
Reichel, Uwe D.
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Uncertainty Analysis for Data-Driven Chance-Constrained Optimization [PDF]
, 2020 In this contribution our developed framework for data-driven chance-constrained optimization is extended with an uncertainty analysis module. The module quantifies uncertainty in output variables of rigorous simulations.
Esche, Erik +3 more
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IEEE Access, 2018 In this paper, a barrier Lyapunov function (BLF)-based backstepping control design is proposed for uncertain rigid spacecraft with both input and output constraints.
Zhongtian Chen +3 more
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Data-Driven Finite Elasticity [PDF]
Archive for Rational Mechanics and Analysis, 2020 We extend to finite elasticity the Data-Driven formulation of geometrically linear elasticity presented in Conti, M ller, Ortiz, Arch.\ Ration.\ Mech.\ Anal.\ 229, 79-123, 2018. The main focus of this paper concerns the formulation of a suitable framework in which the Data-Driven problem of finite elasticity is well-posed in the sense of existence of ...
S. Conti, S. Müller, M. Ortiz
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A data-driven iteratively regularized Landweber iteration
, 2020 We derive and analyse a new variant of the iteratively regularized Landweber iteration, for solving linear and nonlinear ill-posed inverse problems.
Aspri, Andrea +3 more
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Sensitivity analysis using data-driven parametric macromodels [PDF]
, 2011 An accurate parametric macromodeling method which builds the parameterized frequency behavior of systems from frequency data samples is presented.
Chemmangat Manakkal Cheriya, Krishnan +3 more
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Gaussian Process Surrogates for Modeling Uncertainties in a Use Case of Forging Superalloys
Applied Sciences, 2022 The avoidance of scrap and the adherence to tolerances is an important goal in manufacturing. This requires a good engineering understanding of the underlying process. To achieve this, real physical experiments can be conducted.
Johannes G. Hoffer +2 more
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