Results 1 to 10 of about 169,109 (267)
Machine-Learning Methods on Noisy and Sparse Data
Mathematics, 2023 Experimental and computational data and field data obtained from measurements are often sparse and noisy. Consequently, interpolating unknown functions under these restrictions to provide accurate predictions is very challenging.
Konstantinos Poulinakis +3 more
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Hybrid Integration Method for Sunlight Atmospheric Scattering
IEEE Access, 2021 In computer graphics, the efficient rendering of a clear sky may greatly enhance the realism of synthesised interactive virtual environments. However, light atmospheric scattering, lying behind a reliable sky synthesis, is a computationally demanding ...
Tomasz Galaj +4 more
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Valuing Exchange Options under an Ornstein-Uhlenbeck Covariance Model
International Journal of Financial Studies, 2023 In this paper we study the pricing of exchange options between two underlying assets whose dynamic show a stochastic correlation with random jumps. In particular, we consider a Ornstein-Uhlenbeck covariance model, with Levy Background Noise Processes ...
Enrique Villamor, Pablo Olivares
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European Journal of Remote Sensing, 2021 Surface subsidence is a dominant component of the displacement vector triggered by underground mining. Over the last few decades, Differential Interferometry Synthetic Aperture Radar (DInSAR) has been used to efficiently monitor this phenomenon with ...
Kamila Pawluszek-Filipiak +1 more
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Online Motion Planning for Safe Human–Robot Cooperation Using B-Splines and Hidden Markov Models
Robotics, 2023 When humans and robots work together, ensuring safe cooperation must be a priority. This research aims to develop a novel real-time planning algorithm that can handle unpredictable human movements by both slowing down task execution and modifying the ...
Giovanni Braglia +3 more
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FE SIMULATION OF STRUCTURES FROM NONHOMOGENEOUS MATERIALS WITH COMPLICATED PROPERTIES
Advanced Engineering Research, 2013 Two finite element simulation algorithms for heterogeneous properties including the connectivity of mechanical and electrical fields are considered. In the first instance, heterogeneous mechanical and piezoelectric properties of the body are given in the
Pavel Arturovich Oganesyan +1 more
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Linear dependence of bivariate Minimal Support and Locally Refined B-splines over LR-meshes [PDF]
, 2019 The focus on locally refined spline spaces has grown rapidly in recent years due to the need in Isogeoemtric analysis (IgA) of spline spaces with local adaptivity: a property not offered by the strict regular structure of tensor product B-spline spaces ...
Dokken, Tor, Patrizi, Francesco
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Polynomial spline-approximation of Clarke's model [PDF]
, 2004 We investigate polynomial spline approximation of stationary random processes on a uniform grid applied to Clarke's model of time variations of path amplitudes in multipath fading channels with Doppler scattering. The integral mean square error (MSE) for
Adlard, J F, Tozer, T C, Zakharov, Y V
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Computational Visual Media, 2017 Existing shape models with spherical topology are typically designed either in the discrete domain using interpolating polygon meshes or in the continuous domain using smooth but non-interpolating schemes such as subdivision or NURBS. Both polygon models
D. Schmitter +2 more
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Journal of Statistical Software, 2020 We present the R package BASS as a tool for nonparametric regression. The primary focus of the package is fitting fully Bayesian adaptive spline surface (BASS) models and performing global sensitivity analyses of these models.
Devin Francom, Bruno Sansó
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