Application of machine learning in electromagnetics: Mini-review
As an integral part of the electromagnetic system, antennas are becoming more advanced
and versatile than ever before, thus making it necessary to adopt new techniques to …
and versatile than ever before, thus making it necessary to adopt new techniques to …
A Review of RFID-based Internet of Things in the Healthcare Area, the New Horizon of RFID
The next generation of the Internet of Things will rely heavily on RFID and sensor
technology. Compared to existing systems, the development of various RFID and sensor …
technology. Compared to existing systems, the development of various RFID and sensor …
Design and optimization of MIMO dielectric resonator antenna using machine learning for Sub-6 GHz based on 5G IoT applications
This work proposes a novel dielectric resonator antenna design for 5G-based IoT
applications that operates in the sub-6 GHz frequency range. The DR antenna is built on a …
applications that operates in the sub-6 GHz frequency range. The DR antenna is built on a …
A novel circularly polarized reader antenna design for UHF RFID applications
In this article, a novel ultra-high frequency radio frequency identification (UHF RFID) reader
antenna is proposed and experimentally investigated. The proposed RFID antenna design …
antenna is proposed and experimentally investigated. The proposed RFID antenna design …
Nanoscale modeling of an efficient Carbon Nanotube-based RF switch using XG-Boost machine learning algorithm
Abstract Radio Frequency (RF) Nano Electro Mechanical Switches (NEMS) using Carbon
Nanotube (CNTs) are preferred for electronic switching due to its high stiffness, switching …
Nanotube (CNTs) are preferred for electronic switching due to its high stiffness, switching …
UHF RFID Microwave Sensor Tag Design for an RSSI Based Machine Learning Assisted Binary Ethanol-Water Mixture Characterization
This article proposes a novel microwave sensor-based UHF radio frequency identification
(RFID) tag design for the dielectric parameter characterization of binary ethanol–water liquid …
(RFID) tag design for the dielectric parameter characterization of binary ethanol–water liquid …
[LIBRO][B] Intelligent Devices for IoT Applications
MSI Sagar - 2023 - search.proquest.com
Abstract Internet of Things (IoT) devices refer to a vast network of physical devices that are
connected to the internet and can communicate with each other through sensors and …
connected to the internet and can communicate with each other through sensors and …
Estimation of scattering parameters of U-slotted rectangular RFID patch antenna with machine learning models
I Akdag - Journal of Artificial Intelligence and Data Science, 2021 - dergipark.org.tr
In this study, machine learning-based models have been used to estimate the return loss
parameters of the operational resonant frequency of the U-slotted UHF RFID antenna. The …
parameters of the operational resonant frequency of the U-slotted UHF RFID antenna. The …
Optimization of a metasurface antenna composed of dual T-shaped antenna elements based on machine learning
L Zhang, L Chen, Z Yuan, S Lan - … International Symposium on …, 2021 - ieeexplore.ieee.org
In the antenna design process, traditional electromagnetic full-wave simulation requires too
much time and computing resources. As an emerging technology, machine learning (ML) is …
much time and computing resources. As an emerging technology, machine learning (ML) is …
Designing of dual band f-shaped rfid antenna using machine learning techniques
Y Nuray, N Akçam - Journal of Artificial Intelligence and Data …, 2022 - dergipark.org.tr
In this paper, using machine learning, a dual-band F-shaped RFID antenna is designed to
operate in 867MHz UHF and 2.45 GHz WLAN bands. The study's dataset was consisting of …
operate in 867MHz UHF and 2.45 GHz WLAN bands. The study's dataset was consisting of …