4 citations · 8 across the 7 of their papers we have counts for
4 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…