1,720,970 research outputs found
On the exploitation of neural network for the prediction of the electromagnetic absorption in biological phantoms
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On the usefulness of frequency-domain and time domain electromagnetic scattered data for the neural network-based caracterization of subsurfaces scenarios
No full textSome considerations on the reliability of finite element simulators for problems involving metamaterials
No full textInverse scattering technique for prediction of electromagnetic absorption in phantoms exposed to wireless systems
No full textPerformances of electromagnetic finite element simulators in the presence of three-dimensional double negative scatterers
No full textThe effects of the presence of double-negative (DNG) metamaterials on the accuracy of the results computed by finite element simulators are investigated. The performances of the iterative solver usually exploited by the same simulators are analysed, too. The outcome is that finite element simulators could require much finer meshes than usual when DNG metamaterials are involved, especially in regions containing and slightly surrounding the subregions occupied by DNG media. This effect is particularly important when the DNG metamaterials involved have
not a very high magnetic or electric loss tangent. The effect on the most popular iterative solver is even more evident
Comparative results on the performances of finite element boundary truncation techniques in the time domain
No full textApplication of neural networks to the solution of electromagnetic inverse scattering problems
No full textThe European STREP Project: on board processing of an innovative GPR for the efficient monitoring of rail track subsurface conditions
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