4 citations · 8 across the 7 of their papers we have counts for
5 papers · 1 filter
Simultaneous estimation of wall and object parameters in TWR using deep neural network
Fardin Ghorbani, Hossein Soleimani
This paper presents a deep learning model for simultaneously estimating target and wall parameters in Through-the-Wall Radar. In this work, we consider two modes: single-target and…
A deep learning approach for inverse design of the metasurface for dual-polarized waves
Fardin Ghorbani, Javad Shabanpour, Sina Beyraghi +3
Compared to the conventional metasurface design, machine learning-based methods have recently created an inspiring platform for an inverse realization of the metasurfaces. Here, we…
Through-the-Wall Radar under Electromagnetic Complex Wall: A Deep Learning Approach
Fardin Ghorbani, Hossein Soleimani
This paper employed deep learning to do two-dimensional, multi-target locating in Through-the-Wall Radar under conditions where the wall is treated as a complex electromagnetic med…
Deep neural network-based automatic metasurface design with a wide frequency range
Fardin Ghorbani, Sina Beyraghi, Javad Shabanpour +3
Beyond the scope of conventional metasurface which necessitates plenty of computational resources and time, an inverse design approach using machine learning algorithms promises an…
Implementation of conformal digital metasurfaces for THz polarimetric sensing
Javad Shabanpour, Sina Beyraghi, Fardin Ghorbani +1
Monitoring and controlling the state of polarization of electromagnetic waves is of significant interest for various basic and practical applications such as linear position sensin…