The widespread distribution of applications and devices, coupled with the vast array of
mobile data, technologies, and architectures within Sixth Generation (6G) networks …

Wireless networks have gained significant attention and importance in healthcare as various
medical devices such as mobile devices, sensors, and remote monitoring equipment must …

Space-time-coding digital metasurface has drawn worldwide attention with the ability to
improve communication quality and change the direction of electromagnetic (EM) wave …

Today wireless systems include the fifth and sixth generations (5G and 6G) technologies
and are growing day by day that result in exponentially increasing data traffic. For providing …

An artificial intelligence deep learning algorithm is proposed to analyze a dual-polarized
high-isolation antenna effectively. The method is a building model of multi-input target …

This research introduces a novel methodology for high-accuracy modeling of antenna
characteristics. It is centered around a recurrent neural network (RNN) optimized through …

Small-signal and large-signal modeling of high elec-tron mobility transistors (HEMTs) are
develo** day-by-day where accurate model extractions rely on characterizing the …

Abstract A novel Quasi‐Yagi‐Uda antenna on a flexible material is designed and
demonstrated in this paper. The antenna is developed on an ultra‐thin polyimide substrate …

This paper focuses on millimeter wave (mmWave) channel prediction by machine learning
(ML) methods. Previous ML-based mmWave channel predictors have limitations on …

In this paper, data-driven modeling is used to predict the chaotic time series of a two-degree-
of-freedom nonlinear system of the beam-ring model. To accurately predict the chaotic time …