The heart sounds recorded through a phonocardiogram (PCG) can assist in the early
detection of valvular heart diseases (VHD), which is important for minimizing the chances of …

We present a deep neural network-based framework for designing multiband microstrip
antennas given a desired impedance matching spectrum. The approach enables a design …

A machine-learning-assisted optimization (MLAO) method for antenna geometry design
(AGD)(MLAO-AGD) is proposed. By combining machine learning (ML) methods, including a …

With the advancement of modern wireless systems from the current 5G to future 6G
communications, the electromagnetic environment is getting increasingly complicated …

It is crucial to know the permittivity of dielectric materials used in radio frequency (RF)
components and devices because their operation frequency and loss characteristics are …

In order to design the wideband patch antenna, a hybrid method based on the artificial
neural network (ANN) and the simulated annealing (SA) algorithm is proposed in this …

Microstrip antennas are fabricated by a copper-etched printed circuit board (PCB) through
an exact patch shapes are arranged at one side and ground planes are arranged at other …

Convolutional neural networks (CNN) have a strong feature extraction ability for images and
present a high level of efficiency and accuracy in object detection and image recognition …

As wireless communication systems increasingly require compact and efficient antennas,
conventional antenna design methods are proving difficult to meet the rigorous demands of …

This paper introduces an efficient approach for compact, wideband and supergain arrays
design using artificial neural network (ANN) based optimization. The proposed method …