Results 21 to 30 of about 849,778 (293)
Hybrid Prototypes to Assist Modeling Automotive Seats [PDF]
, 2006 The development of new modular seats is an important issue in the automotive industry. However, is very time consuming and costly. Virtual models and hybrid prototypes could accelerate the car seats development process. The hybrid prototypes are mainly
Beira, R. +2 more
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Atmosphere, 2020 Air quality modeling at the very local scale within an urban area is performed through a hybrid modeling system (HMS) that combines the CAMx Eulerian model the with AUSTAL2000 Lagrangian model.
Giovanni Lonati +5 more
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Kernel Spectral Curvature Clustering (KSCC)
, 2009 Multi-manifold modeling is increasingly used in segmentation and data representation tasks in computer vision and related fields. While the general problem, modeling data by mixtures of manifolds, is very challenging, several approaches exist for ...
Atev, S., Chen, G., Lerman, G.
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Hybrid Simulation Safety: Limbos and Zero Crossings
, 2017 Physical systems can be naturally modeled by combining continuous and discrete models. Such hybrid models may simplify the modeling task of complex system, as well as increase simulation performance.
EA Lee +8 more
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Uncertainty Analysis of the Adequacy Assessment Model of a Distributed Generation System [PDF]
, 2012 Due to the inherent aleatory uncertainties in renewable generators, the reliability/adequacy assessments of distributed generation (DG) systems have been particularly focused on the probabilistic modeling of random behaviors, given sufficient informative
Li, Yanfu, Zio, Enrico
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Machine Learning in Quasi-Newton Methods
AxiomsIn this article, we consider the correction of metric matrices in quasi-Newton methods (QNM) from the perspective of machine learning theory. Based on training information for estimating the matrix of the second derivatives of a function, we formulate a ...
Vladimir Krutikov +4 more
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Semi−Supervised Hybrid Modeling of the Yeast Fermentation Process
Machines, 2023 This study focuses on modeling the yeast fermentation process using the hybrid modeling method. To improve the prediction accuracy of the model and reduce the model training time, this paper presents a semi−supervised hybrid modeling method based on an ...
Meng Zhao, Shunyi Zhao, Fei Liu
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, 2012 We study the so called hybrid stars, which are hadronic stars that contain a core of deconfined quarks. For this purpose, we make use of an extended version of the SU(3) chiral model.
Dexheimer, V., Schramm, S., Stone, J.
core
Randomized hybrid linear modeling by local best-fit flats
, 2010 The hybrid linear modeling problem is to identify a set of d-dimensional affine sets in a D-dimensional Euclidean space. It arises, for example, in object tracking and structure from motion.
Lerman, Gilad +3 more
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Hybrid modeling, HMM/NN architectures, and protein applications [PDF]
, 1996 We describe a hybrid modeling approach where the parameters of a model are calculated and modulated by another model, typically a neural network (NN), to avoid both overfitting and underfitting.
Baldi, Pierre, Chauvin, Yves
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