Results 51 to 60 of about 2,383 (165)
On a numerical method for recovery of fractional derivative order in the generalized wave equation
Background. The purpose of the paper is the development of a computational algorithm for approximate recovery of derivative order in the generalized wave equation.
V.A. Ryazantsev
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This fundamental study investigates how “super-resolution” technology based on sparse modeling, which has attracted attention in various fields, can be applied to the information-oriented construction of temporary soil-retaining walls.
Yu Otake +2 more
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In this article, we investigate the long-time behavior for the ill-posed problems ∂2u∂t2+∂u∂t+λu−Δu−Δ∂u∂t−Δ∂2u∂t2=f(t,u(x,t−ρ(t)))+g(t,x),in(τ,+∞)×RN,\frac{{\partial }^{2}u}{\partial {t}^{2}}+\frac{\partial u}{\partial t}+\lambda u-\Delta u-\Delta \frac{\
Zhang Fang-hong
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Multiscale Convolutional Mask Network for Hyperspectral Unmixing
Deep learning has gained popularity in hyperspectral unmixing (HU) applications recently due to its powerful learning and data-fitting capabilities. As an unmixing baseline network, the autoencoder (AE) framework performs well in HU by automatically ...
Mingming Xu +4 more
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The non-destructive estimation of doping concentrations in semiconductor devices is of paramount importance for many applications ranging from crystal growth to defect and inhomogeneity detection.
S. Piani +4 more
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A Study on the Direct Optimization of a Rational Function Model for High-Resolution Satellite Images
Due to the influence of factors such as satellite jitters, orbital errors, star sensor errors, and satellite clock errors, significant geometric systematic errors often exist among multi-view satellite images.
Danchao Gong, Yilong Han, Xu Huang
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Regularization of linear and nonlinear ill-posed problems by mollification
This paper is a premature version of a work performed while the author was a PhD student under the supervision of Pierre Mar\'echal and Anne Vanhems, at the University of Toulouse, and it benefited from the directions provided by them.
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Linear and Nonlinear Heuristic Regularisation for Ill-Posed Problems
In this thesis, we cover the so-called heuristic (aka error-free or data-driven) parameter choice rules for the regularisation of ill-posed problems (which just so happen to be prominent in the treatment of inverse problems). We consider the linear theory associated with both continuous regularisation methods, such as that of Tikhonov, and also ...
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Simultaneous Numerical Determination of Two Time-dependent Coefficients in Second Order Parabolic Equation With Nonlocal Initial and Boundary Conditions. [PDF]
A J Al-Shatrah M, Sabah Hussein M.
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