Pages that link to "Item:Q4672416"
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The following pages link to Neural networks for FDTD‐backed permittivity reconstruction (Q4672416):
Displaying 8 items.
- Ultra-broadband material spectroscopy from scattering parameters obtained from time domain measurements (Q682757) (← links)
- Modeling of electromagnetic behavior of composite thin layers using genetic algorithm (Q1997825) (← links)
- A reverse neural model of a general planar transmission line (Q2775991) (← links)
- Support vector machines for measuring dielectric properties of materials (Q4933003) (← links)
- (Q4984356) (← links)
- Construct Deep Neural Networks based on Direct Sampling Methods for Solving Electrical Impedance Tomography (Q4997381) (← links)
- Solution to the Inverse Problem of Reconstructing Permittivity of an $$n$$-Sectional Diaphragm in a Rectangular Waveguide (Q5258863) (← links)
- Numerical computation of the complex dielectric permittivity using Hilbert transform and FFT techniques (Q5926799) (← links)