In addressing the multifaceted problem of multiple-input multiple-output (MIMO) detection in
wireless communication systems, this work highlights the pressing need for enhanced …

Deep learning (DL) has been recognized as an instrumental tool for the design of future
communication systems. Since it is still not clear whether a fully data-driven end-to-end …

This paper focuses on symbol detection for a multi‐user single‐input multiple‐output (MU‐
SIMO) uplink using supervised machine learning techniques. An extreme learning machine …

The rapid development of ultra large-scale MIMO (Multiple Input Multiple Output) systems
has posed challenges to traditional channel state information (CSI) feedback methods. The …

Applications of deep learning have not been adequately studied in communication systems,
though it is a tremendously popular approach in many other fields. This study focuses on the …

To accurately measure the liquid level of highly reactive liquid metal sodium with large
temperature differences and high temperatures in nuclear reactors, a non-contact ultrasonic …

With the rapid progress of wireless communication technology, Ultra-large-scale MIMO and
wireless self-organizing networks are prominent areas of current research. Ultra-large-scale …