This review paper provides an overview of the latest developments in artificial intelligence
(AI)-based antenna design and optimization for wireless communications. Machine learning …

All-optical plasmonic switches (AOPSs) utilizing surface plasmon polaritons are well-suited
for integration into photonic integrated circuits (PICs) and play a crucial role in advancing all …

This study introduces a MIMO antenna system incorporating an epsilon negative Meta
Surface (MS). The system's architects intended for it to have a large usable frequency range …

Abstract Miniaturized Millimeter Wave (mm-wave) MIMO antenna arrays with an observed
10-dB impedance broad bandwidth of 3.7 GHz (25.785–29.485) are the focus of this study's …

This paper presents the findings about implementing a machine learning (ML) technique to
optimize the performance of 5 G mm wave applications utilizing multiple-input multiple …

This article provides the findings of a study that integrated simulation, an RLC equivalent
circuit, and machine learning (ML) techniques to improve wireless indoor communications …

This article presents the results of our investigation into a machine learning (ML) method for
6G MIMO antenna performance improvement in the THz band. Regarding the lowest …

This article presents unique research on the application of machine learning techniques to
enhance the efficiency of antennas for wireless communication and Internet of Things (IoT) …

Yagi antennas are useful for wireless communications because of the directional gain they
provide, allowing the antenna to concentrate the signal in either the transmission or …

This study presents a revolutionary tri-band combined microwave (MW) and millimeter wave
(MMW) multiple-input-multiple-output (MIMO) antenna. The antenna is built on a Rogers RT …