Identification of metallic objects using spectral magnetic polarizability tensor signatures: Object classification

DOI10.1002/NME.6927arXiv2110.06624OpenAlexW3206320390MaRDI QIDQ6129652

William R. B. Lionheart, Paul D. Ledger, Unnamed Author

Publication date: 17 April 2024

Published in: International Journal for Numerical Methods in Engineering (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2110.06624

zbMATH Keywords

finite element method machine learning reduced order model object classification magnetic polarizability tensor metal detection

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Computational learning theory (68Q32) Artificial neural networks and deep learning (68T07) Bayesian problems; characterization of Bayes procedures (62C10) Finite element, Rayleigh-Ritz and Galerkin methods for boundary value problems involving PDEs (65N30) Finite element, Galerkin and related methods applied to problems in optics and electromagnetic theory (78M10) Electro- and magnetostatics (78A30) Numerical methods for partial differential equations, boundary value problems (65N99) Model reduction in optics and electromagnetic theory (78M34)

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