Zobrazeno 1 - 10
of 10 960
pro vyhledávání: '"Inverse Scattering Problem"'
Autor:
Rakib Efendiev, Yusif Gasimov
Publikováno v:
Partial Differential Equations in Applied Mathematics, Vol 11, Iss , Pp 100831- (2024)
The study investigates the inverse scattering problem for the Schrodinger operator with complex potentials, considering indefinite discontinuous coefficients on the axis. Using the integral representation of the Jost solutions on the real and imagina
Externí odkaz:
https://doaj.org/article/b0d02a1c49cc4338918e60d2863fe350
Publikováno v:
IEEE Open Journal of Instrumentation and Measurement, Vol 3, Pp 1-15 (2024)
This article deals with the nondestructive testing and evaluation (NDT/NDE) of dielectric structures through a sparseness-promoting probabilistic microwave imaging (MI) method. Prior information on both the unperturbed scenario and the class of image
Externí odkaz:
https://doaj.org/article/39f451093e7c4cc2bb8cf102b3db3325
Publikováno v:
Electronic Research Archive, Vol 31, Iss 11, Pp 7000-7020 (2023)
This paper is concerned with the application of a machine learning approach to inverse elastic scattering problems via neural networks. In the forward problem, the displacements are approximated by linear combinations of the fundamental tensors of th
Externí odkaz:
https://doaj.org/article/e629d4b5c1d2440da23584744b9e7654
Autor:
Sangwoo Kang, Won-Kwang Park
Publikováno v:
AIMS Mathematics, Vol 8, Iss 11, Pp 27080-27112 (2023)
In this paper, we consider the application of the bifocusing method (BFM) for a fast identification of two-dimensional circle-like small inhomogeneities from measured scattered field data. Based on the asymptotic expansion formula for the scattered f
Externí odkaz:
https://doaj.org/article/f4480bbaf57846ea87da8610ca4829a2
Publikováno v:
Sensors, Vol 24, Iss 7, p 2322 (2024)
In this paper, we introduce a novel artificial intelligence technique with an attention mechanism for half-space electromagnetic imaging. A dielectric object in half-space is illuminated by TM (transverse magnetic) waves. Since measurements can only
Externí odkaz:
https://doaj.org/article/785af7092ab0420498984bed16f649f0
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Publikováno v:
IEEE Access, Vol 11, Pp 66063-66075 (2023)
The application and comparison of U-Net convolutional neural network architectures is proposed in this work to guarantee a fast and accurate convergence of inverse scattering problems solved by Born iterative method, even in the presence of strong sc
Externí odkaz:
https://doaj.org/article/dee372080c7745c48b035412a99aeca9
Publikováno v:
IEEE Access, Vol 11, Pp 23935-23945 (2023)
Quantitative detection of defects in structures is always a hot research topic in the field of guided wave inverse scattering. Research studies on how to effectively extract the defect-related information encompassed in the multi-frequency and multi-
Externí odkaz:
https://doaj.org/article/7ec27ed0a4a54c828e98caaf4754d49e
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.