This research work presents a compact design of a Multiple-Input Multiple-Output (MIMO)
multiband antenna along with high-isolation characteristics. The presented antenna was …

An automated optimization process for designing and optimising high‐performance single
microstrip antennas is presented. It consists of the successive use of two optimization …

This paper presents a system based on artificial neural network (ANN) that predicts ground
plane design for desired radiation properties of a monopole antenna with operation band of …

Microstrip patch antennas (MPAs) are widely used in the field of telecommunication systems
due to their low cost, ease of fabrication the thin profile, low weight, the ability to excite …

In this paper, a novel Evolutionary Computing named Adaptive Genetic Algorithm (AGA)
based ANN model is developed for rectangular MPA (Microstrip patch antenna) …

In this article, a prior knowledge input (PKI) based ANN model, using a trained multi-layer
perceptron (MLP) model, has been developed. The particle swarm optimization (PSO) …

This paper presents a deep neural network to design an inset fed rectangular shaped
microstrip patch antenna. To design the shape of such antenna, a multilayer perceptron …

This article presents the design of a multiband microstrip MIMO antenna for millimeter-wave
(mm-Wave) applications, which are crucial for 5G networks. The antenna, designed using an …

This paper introduces the application of Artificial Neural Network (ANN) modeling to a
circular microstrip patch antenna for RFEH applications. Two distinct ANN models are …

Designing and optimizing microwave devices require significant computational resources,
particularly when dealing with intricate stack-up structures. Utilizing machine learning …