Results 31 to 40 of about 2,383 (165)

Semi-Supervised Learning for Seismic Impedance Inversion Using Generative Adversarial Networks

Remote Sensing, 2021
Seismic impedance inversion is essential to characterize hydrocarbon reservoir and detect fluids in field of geophysics. However, it is nonlinear and ill-posed due to unknown seismic wavelet, observed data band limitation and noise, but it also requires ...
Bangyu Wu, Delin Meng, Haixia Zhao
doaj   +1 more source

On existence of optimal controls in coecients for ill-posed nonlinear elliptic Dirichlet boundary value problems with anisotropic p-Laplacian

Vìsnik Dnìpropetrovsʹkogo Unìversitetu: Serìâ Modelûvannâ, 2016
We study a Dirichlet optimal control problem for a nonlinear elliptic anisotropic p-Laplace equation with control and state constraints. The matrix-valued coecients we take as controls and in the linear part of dierential operator we consider coecients ...
O. P. Kupenko
doaj   +1 more source

On the problem of recovering boundary conditions in the third boundary value problem for parabolic equation

Известия высших учебных заведений. Поволжский регион: Физико-математические науки, 2021
Background. In recent decades the theory for solution of inverse and ill-posed problems has become one of the most important and fast-growing branch of modern mathematics.
I.V. Boykov, V.A. Ryazantsev
doaj   +1 more source

New Trends in Applying LRM to Nonlinear Ill-Posed Equations

Mathematics
Tautenhahn (2002) studied the Lavrentiev regularization method (LRM) to approximate a stable solution for the ill-posed nonlinear equation κ(u)=v, where κ:D(κ)⊆X⟶X is a nonlinear monotone operator and X is a Hilbert space.
Santhosh George, Ramya Sadananda, Jidesh Padikkal, Ajil Kunnarath, Ioannis K. Argyros   +4 more
doaj   +1 more source

ECT-LSTM-RNN: An Electrical Capacitance Tomography Model-Based Long Short-Term Memory Recurrent Neural Networks for Conductive Materials

IEEE Access, 2021
Image reconstruction for industrial applications based on Electrical Capacitance Tomography (ECT) has been broadly applied. The goal of image reconstruction based ECT is to locate the distribution of permittivity for the dielectric substances along the ...
Wael Deabes, Alaa Sheta, Malik Braik
doaj   +1 more source

Land Surface Temperature Estimation from Landsat-9 Thermal Infrared Data Using Ensemble Learning Method Considering the Physical Radiance Transfer Process

Land, 2023
Accurately estimating land surface temperature (LST) is a critical concern in thermal infrared (TIR) remote sensing. According to the thermal radiance transfer equation, the observed data in each channel are coupled with both emissivity and atmospheric ...
Xin Ye, Rongyuan Liu, Jian Hui, Jian Zhu
doaj   +1 more source

Dynamical machine learning volumetric reconstruction of objects’ interiors from limited angular views

Light: Science & Applications, 2021
Limited-angle tomography of an interior volume is a challenging, highly ill-posed problem with practical implications in medical and biological imaging, manufacturing, automation, and environmental and food security.
Iksung Kang, Alexandre Goy, George Barbastathis   +2 more
doaj   +1 more source

Acoustic Impedance Inversion from Seismic Imaging Profiles Using Self Attention U-Net

Remote Sensing, 2023
Seismic impedance inversion is a vital way of geological interpretation and reservoir investigation from a geophysical perspective. However, it is inevitably an ill-posed problem due to the noise or the band-limited characteristic of seismic data ...
Liurong Tao, Haoran Ren, Zhiwei Gu
doaj   +1 more source

Regularization Solver Guided FISTA for Electrical Impedance Tomography

Sensors, 2023
Electrical impedance tomography (EIT) is non-destructive monitoring technology that can visualize the conductivity distribution in the observed area.
Qian Wang, Xiaoyan Chen, Di Wang, Zichen Wang, Xinyu Zhang, Na Xie, Lili Liu   +6 more
doaj   +1 more source

Regularization of nonlinear ill-posed problems by exponential integrators

ESAIM: Mathematical Modelling and Numerical Analysis, 2009
Summary: The numerical solution of ill-posed problems requires suitable regularization techniques. One possible option is to consider time integration methods to solve the Showalter differential equation numerically. The stopping time of the numerical integrator corresponds to the regularization parameter.
Hochbruck, Marlis, Hönig, Michael, Ostermann, Alexander   +2 more
openaire   +3 more sources