This paper presents a focused and comprehensive literature survey on the use of machine
learning (ML) in antenna design and optimization. An overview of the conventional …

The advancement in wireless communications requires the integration of multiple radios into
a single platform to maximize connectivity. In this paper, the design process of …

Detecting respiration in a non-intrusive manner is beneficial not only for convenience but
also for cases where the traditional ways cannot be applied. This paper presents a novel …

The goal of this article is to introduce and use the cuckoo search (CS) as an optimisation
algorithm for the electromagnetics and antenna community. The CS is a new nature …

The use of artificial neural networks as the objective function of optimization algorithms is
proposed in the recent past. In this paper, the use of artificial neural networks ensemble as …

In this paper, a new reconfigurable antenna is introduced. This antenna is a printed spiral-
shaped monopole antenna with a compact structure. By embedding microwave switches in …

Now-e-days the area of microstrip antennas has some creative effort and is one of the
premium vigorous fields of antenna theory. The microstrip antenna design is not an easy …

Abstract Machine learning approaches, viz. particle swarm optimization in conjunction with
neural networks have been used to develop a user friendly tool to design custom-made …

Neural networks (NNs) have proven a useful surrogate model for the design and
optimization of high frequency structures including antennas. Black-box NNs are known to …

The ability of reconfigurable antennas to tune resonances, change polarization and modify
their radiation patterns, made their development imperative in modern telecommunication …