Picture for Fardin Ghorbani

Fardin Ghorbani

Deep Learning Framework for the Design of Orbital Angular Momentum Generators Enabled by Leaky-wave Holograms

Add code
Apr 25, 2023
Viaarxiv icon

Simultaneous estimation of wall and object parameters in TWR using deep neural network

Add code
Oct 30, 2021
Figure 1 for Simultaneous estimation of wall and object parameters in TWR using deep neural network
Figure 2 for Simultaneous estimation of wall and object parameters in TWR using deep neural network
Figure 3 for Simultaneous estimation of wall and object parameters in TWR using deep neural network
Figure 4 for Simultaneous estimation of wall and object parameters in TWR using deep neural network
Viaarxiv icon

A deep learning approach for inverse design of the metasurface for dual-polarized waves

Add code
May 12, 2021
Figure 1 for A deep learning approach for inverse design of the metasurface for dual-polarized waves
Figure 2 for A deep learning approach for inverse design of the metasurface for dual-polarized waves
Figure 3 for A deep learning approach for inverse design of the metasurface for dual-polarized waves
Figure 4 for A deep learning approach for inverse design of the metasurface for dual-polarized waves
Viaarxiv icon

Deep Learning Approach for Target Locating in Through-the-Wall Radar under Electromagnetic Complex Wall

Add code
Feb 16, 2021
Figure 1 for Deep Learning Approach for Target Locating in Through-the-Wall Radar under Electromagnetic Complex Wall
Figure 2 for Deep Learning Approach for Target Locating in Through-the-Wall Radar under Electromagnetic Complex Wall
Figure 3 for Deep Learning Approach for Target Locating in Through-the-Wall Radar under Electromagnetic Complex Wall
Figure 4 for Deep Learning Approach for Target Locating in Through-the-Wall Radar under Electromagnetic Complex Wall
Viaarxiv icon

Deep neural network-based automatic metasurface design with a wide frequency range

Add code
Jan 22, 2021
Figure 1 for Deep neural network-based automatic metasurface design with a wide frequency range
Figure 2 for Deep neural network-based automatic metasurface design with a wide frequency range
Figure 3 for Deep neural network-based automatic metasurface design with a wide frequency range
Figure 4 for Deep neural network-based automatic metasurface design with a wide frequency range
Viaarxiv icon

EEGsig machine learning-based toolbox for End-to-End EEG signal processing

Add code
Oct 24, 2020
Figure 1 for EEGsig machine learning-based toolbox for End-to-End EEG signal processing
Figure 2 for EEGsig machine learning-based toolbox for End-to-End EEG signal processing
Figure 3 for EEGsig machine learning-based toolbox for End-to-End EEG signal processing
Figure 4 for EEGsig machine learning-based toolbox for End-to-End EEG signal processing
Viaarxiv icon