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eess.SP2021
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…
eess.SP2021
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…
eess.SP2020
EEGsig: an open-source machine learning-based toolbox for EEG signal processing
Fardin Ghorbani, Javad Shabanpour, Sepideh Monjezi +3
In the quest to realize a comprehensive EEG signal processing framework, in this paper, we demonstrate a toolbox and graphic user interface, EEGsig, for the full process of EEG sig…