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Aeromagnetic Compensation Algorithm Based on Levenberg-Marquard Neural Network [PDF]

open access: yesJournal of Geodesy and Geoinformation Science, 2021
The magnetic compensation of aeromagnetic survey is an important calibration work, which has a great impact on the accuracy of measurement. In an aeromagnetic survey flight, measurement data consists of diurnal variation, aircraft maneuver interference ...
Li LIU,Qingfeng XU,Hui GU,Lei ZHOU,Zhenfu LIU,Lili CAO
doaj   +1 more source

A Hybrid Regularization Operator and Its Application in Seismic Inversion

open access: yesIEEE Access, 2021
Seismic inversion is an effective tool to estimate the properties of subsurface strata from seismograms. However, the intrinsic ill-posedness of the inversion problem causes the inverted subsurface properties to be easily polluted by inversion errors due
Yangting Liu   +3 more
doaj   +1 more source

A four directions variational method for solving image processing problems [PDF]

open access: yesIranian Journal of Numerical Analysis and Optimization, 2020
In this paper, based on a discrete total variation model, a modified discretization of total variation (TV) is introduced for image processing problems.
Alireza H., E.E. Esfahani
doaj   +1 more source

rags2ridges: A One-Stop-ℓ2-Shop for Graphical Modeling of High-Dimensional Precision Matrices

open access: yesJournal of Statistical Software, 2022
A graphical model is an undirected network representing the conditional independence properties between random variables. Graphical modeling has become part and parcel of systems or network approaches to multivariate data, in particular when the variable
Carel F. W. Peeters   +2 more
doaj   +1 more source

Analysis of Electrochemical Impedance Spectroscopy on Zinc-Air Batteries Using the Distribution of Relaxation Times

open access: yesBatteries, 2021
Zinc-air batteries could be a key technology for higher energy densities of electrochemical energy storage systems. Many questions remain unanswered, however, and new methods for analyses and quantifications are needed. In this study, the distribution of
Robert Franke-Lang, Julia Kowal
doaj   +1 more source

Internal boundary layer in a singularly perturbed problem of fractional derivative

open access: yesҚарағанды университетінің хабаршысы. Математика сериясы, 2020
This paper is devoted to the study of internal boundary layer. Such motions are often associated with effect of boundary layer, i.e. low flow viscosity affects only in a narrow parietal layer of a streamlined body, and outside this zone the flow is as ...
B.T. Kalimbetov   +2 more
doaj   +1 more source

Two Inverse Problems Solution by Feedback Tracking Control

open access: yesAxioms, 2021
Two inverse ill-posed problems are considered. The first problem is an input restoration of a linear system. The second one is a restoration of time-dependent coefficients of a linear ordinary differential equation.
Vladimir Turetsky
doaj   +1 more source

Regularized Asymptotic Solutions of a Singularly Perturbed Fredholm Equation with a Rapidly Varying Kernel and a Rapidly Oscillating Inhomogeneity

open access: yesAxioms, 2022
This article investigates an equation with a rapidly oscillating inhomogeneity and with a rapidly decreasing kernel of an integral operator of Fredholm type.
Dana Bibulova   +2 more
doaj   +1 more source

Image Denoising Using a Compressive Sensing Approach Based on Regularization Constraints

open access: yesSensors, 2022
In remote sensing applications and medical imaging, one of the key points is the acquisition, real-time preprocessing and storage of information. Due to the large amount of information present in the form of images or videos, compression of these data is
Assia El Mahdaoui   +2 more
doaj   +1 more source

Kibria–Lukman-Type Estimator for Regularization and Variable Selection with Application to Cancer Data

open access: yesMathematics, 2023
Following the idea presented with regard to the elastic-net and Liu-LASSO estimators, we proposed a new penalized estimator based on the Kibria–Lukman estimator with L1-norms to perform both regularization and variable selection.
Adewale Folaranmi Lukman   +5 more
doaj   +1 more source

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