Results 11 to 20 of about 1,078,834 (211)
Modeling Radiation Belt Electrons With Information Theory Informed Neural Networks
Space Weather, 2022 An empirical model of radiation belt relativistic electrons (μ = 560–875 MeV G−1 and I = 0.088–0.14 RE G0.5) with average energy ∼1.3 MeV is developed. The model inputs solar wind parameters (velocity, density, interplanetary magnetic field (IMF) |B|, Bz,
Simon Wing +6 more
doaj +1 more source
A Unified Software Framework for Empirical Gramians [PDF]
, 2013 A common approach in model reduction is balanced truncation, which is based on Gramian matrices classifying certain attributes of states or parameters of a given dynamic system.
Ohlberger, Mario +3 more
core +1 more source
Time stable empirical best predictors under a unit-level model
, 2021 Comparability as well as stability over time are highly desirable properties of regularly published statistics, specially when they are related to important issues such as people’s living conditions.
Morales, Domingo +2 more
core +1 more source
A New Global Ionospheric Electron Density Model Based on Grid Modeling Method
Space Weather, 2022 Based on nearly 4.6 million radio occultation (RO) ionospheric profile data from Constellation Observing System for Meteorology, Ionosphere, and Climate satellites in 2006–2020, a global three‐dimensional ionospheric electron density model was ...
Huijun Le +5 more
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Thickness of the surface layer of as-class hydrocarbons
Физико-химические аспекты изучения кластеров, наноструктур и наноматериалов, 2022 The aim of the work is to build a model of the surface layer of objects (crystals) and to elucidate the role of surface energy in physical processes occurring in the nanoscale region.
V.M. Yurov +2 more
doaj +1 more source
Categories of Empirical Models [PDF]
Electronic Proceedings in Theoretical Computer Science, 2019 A notion of morphism that is suitable for the sheaf-theoretic approach to contextuality is developed, resulting in a resource theory for contextuality. The key features involve using an underlying relation rather than a function between measurement scenarios, and allowing for stochastic mappings of outcomes to outcomes.
openaire +3 more sources
Application of discrete model in analyzes of built and tested composite bridge construction [PDF]
Facta Universitatis. Series: Architecture and Civil Engineering, 2011 Designing problem and theoretical analyses of steel-concrete composite structures are especially emphasized in bridge engineering. Method of modelling composite constructions developed and established by standards had been improved by use of finite ...
Tarić Mirsad, Sadović Enis
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Model Order Reduction of Non-Linear Magnetostatic Problems Based on POD and DEI Methods [PDF]
, 2014 In the domain of numerical computation, Model Order Reduction approaches are more and more frequently applied in mechanics and have shown their efficiency in terms of reduction of computation time and memory storage requirements. One of these approaches,
CLENET, Stephane, HENNERON, Thomas
core +1 more source
An Empirical Model for Backscattering Coefficients of Vegetation Fields at 5.4 GHz [PDF]
Journal of Electromagnetic Engineering and Science, 2022 A new, simple empirical model for microwave backscattering from vegetation fields at 5.4 GHz is proposed in this paper. First, a modified radiative transfer model (RTM) is used to generate a database of multi-polarized backscattering coefficients of ...
Yisok Oh +2 more
doaj +1 more source
Frontiers in Psychology, 2015 The present investigation examines how personal self-regulation (presage variable) and regulatory teaching (process variable of teaching) relate to learning approaches, strategies for coping with stress, and self-regulated learning (process variables of ...
Jesus ede la Fuente +4 more
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