In this paper, we present a channel estimation approach based on deep learning to solve
the problem that the orthogonal frequency division multiplexing (OFDM) system channel …

This study analyses the performance of the stacked long short-term memory (S-LSTM)-
based non-orthogonal multiple access (NOMA) system under independent and non …

Scene text detection and recognition are important tasks. However, scene text detection and
recognition in real world images is one of the most challenging tasks in text mining. This …

This paper aims to improve weed detection and removal-using AI based techniques such as
convolution neural network (CNN). Weed is an unwanted plant develo** wild, especially …

Ultra-reliable low latency communication (URLLC) introduces true revolution in 5G. It
supports use cases requiring very high reliability, improved energy efficiency, extremely low …

The low signal strength at the non line-of-sight users or edge users in the wireless
communication network results in call drops and interrupted communication. Intelligent …

The proposed framework incorporates orthogonal affine precoding and decoding (OAPD)
based channel estimation and data detection in frequency reversed Alamouti coded filter …

Recently, the application of deep convolutional neural networks (DCNN) in underwater
acoustic communication has become a growing research hotspot. However, it is hindered by …

Neural networks, including conventional neural networks (CNNs) and long-and short-term
memory (LSTM) networks, have gained considerable attention in recent years due to their …

Spatial multiplexing is a prominent feature of MIMO communication system to achieve higher
spectral efficiency. Spatial modulation is an indexing-based approach to achieve effective …