Multiple access (MA) is a crucial part of any wireless system and refers to techniques that
make use of the resource dimensions (eg, time, frequency, power, antenna, code, and …

Learning based approaches have witnessed great successes in blind single image super-
resolution (SISR) tasks, however, handcrafted kernel priors and learning based kernel priors …

Unmanned aerial vehicles (UAVs) are widely used in Internet-of-Things (IoT) networks,
especially in remote areas where communication infrastructure is unavailable, due to …

Reconfigurable intelligent surface (RIS) has become a promising technology to realize the
programmable wireless environment via steering the incident signal in fully customizable …

Recent advances in deep neural networks (DNNs) highlight the success of synthetic
aperture radar automatic target recognition (SAR ATR) with superior effectiveness and …

Heart disease is a category of various conditions that affect the heart, which includes
multiple diseases that influence its structure and operation. Such conditions may consist of …

A neural field trained with self-supervision to efficiently represent the geometry and colour of
a 3D scene tends to automatically decompose it into coherent and accurate object-like …

Dataset scaling, aka normalization, is an essential preprocessing step in a machine learning
(ML) pipeline. It aims to adjust the scale of attributes in a way that they all vary within the …

This letter proposes a learning aided gradient descent (LAGD) algorithm to solve the
weighted sum rate (WSR) maximization problem for multiple-input single-output (MISO) …

Recently, remote sensing super-resolution (SR) tasks have been widely studied and
achieved remarkable performance. However, due to the complex texture and serious image …