Machine Learning Assisted Hybrid Electromagnetic Modeling Framework and Its Applications to UWB MIMO Antennas
Machine learning (ML) has gained recognition as an efficient and robust technique to realize the solution of electromagnetic forward and inverse problems. This article introduces a hybrid ML framework that simultaneously acts as a forward and inverse model based on a mode input. Multivariate relevan...
Main Authors: | Debanjali Sarkar, Taimoor Khan, Jayadeva, Ahmed A. Kishk |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2023-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10052644/ |
Similar Items
-
A Compact Planar Monopole UWB MIMO Antenna for Short-Range Indoor Applications
by: Shanmugam Kolangiammal, et al.
Published: (2023-04-01) -
Isolation and Gain Improvement of a Rectangular Notch UWB-MIMO Antenna
by: Anees Abbas, et al.
Published: (2022-02-01) -
A Flower-Shaped Miniaturized UWB-MIMO Antenna with High Isolation
by: Weidong Mu, et al.
Published: (2022-07-01) -
A Four Element Stringray-Shaped MIMO Antenna System for UWB Applications
by: Hüseyin Şerif Savcı
Published: (2023-10-01) -
A Compact Four-Port MIMO Antenna for UWB Applications
by: Aiting Wu, et al.
Published: (2022-08-01)