This paper proposes a novel deep learning (DL) based source reconstruction method
(SRM). The proposed DL-based SRM employs the deep convolutional asymmetric encoder …

To avoid straightforward volumetric discretization, a discontinuous Galerkin time-domain
(DGTD) method integrated with the impedance boundary condition (IBC) is presented in this …

This paper presents a discontinuous Galerkin time-domain (DGTD) method for the transient
analysis of magnetized graphene from the microwave to terahertz (THz) frequencies. By …

Performing simulations with electromagnetic (EM) solvers can be a computationally complex
task that is time consuming and resource demanding. Adaptive frequency sampling (AFS) …

As more and more new power electronics with high switching frequencies are used in power-
electronic equipment on ships and other platforms, the wideband radiation that power …

In this article, a high-speed antenna measurement system using multi-probe array technique
for 5G application is suggested. The spherical near-field scan measurement system for …

This article proposes a novel deep-learning (DL)-based source reconstruction method
(SRM). The proposed DL-based SRM employs the deep convolutional conditional …

A hybrid 2-D and 3-D discontinuous Garlerkin time-domain (DGTD) method is proposed for
transient analysis of multiple arbitrarily shaped antipads in a dispersive parallel-plate pair. In …

Radio frequency (RF) source reconstruction is useful for RF radiation analysis and
interference diagnosis in Internet of Things. Near field (NF) sampling is a critical step of RF …

This paper describes an efficient approach to the broadband analysis of lightning protection
systems (LPSs) using the method of moments (MoM) implemented in the frequency domain …