The next generation of wireless communication networks will rely heavily on machine
learning and deep learning. In comparison to traditional ground-based systems, the …

In this work, an overview of implementing machine learning (ML) models in antenna design
and optimisation has been proposed. This includes deep learning on ML structure …

This work concentrates the analysis of the system of automatic control of the directive
diagram of the moving active electronically scanned array with a limited number of …

The reverse design of a tunable terahertz metasurface antenna is proposed based on the
deep neural network (DNN). To obtain the tunable properties of the terahertz antenna, the …

Lately, there has been a remarkable increase in fascination within the field of AI-assisted
communications, especially regarding its ability to offer solutions for mathematical …

Code words traditional can be decoding when applied in artificial neural network.
Nevertheless, explored rarely for encoding of artificial neural network so that it proposed …

Integrated Microwave Photonics based Optical Beamforming Networks (OBFNs) system are
extensively used in communication due to increase in demand for higher bandwidth and …

Attendance recording with RFID tags scan, make human resource (HR) staff's task more
effective and efficient because it is saving time and effort in performing manual recording …

Aiming at the problem that the performance of traditional beamforming algorithm
deteriorates sharply in the presence of main lobe interference, a beamforming algorithm …

Visible Light Communication (VLC) uses the visible light emitted from Light Emitting Diode
(LED) to transmit/receive data. Since the data is transmitted through the light, the connection …