A comprehensive survey of the key technologies and challenges surrounding vehicular ad hoc networks
Vehicular ad hoc networks (VANETs) and the services they support are an essential part of
intelligent transportation. Through physical technologies, applications, protocols, and …
intelligent transportation. Through physical technologies, applications, protocols, and …
A survey on machine learning-based performance improvement of wireless networks: PHY, MAC and network layer
This paper presents a systematic and comprehensive survey that reviews the latest research
efforts focused on machine learning (ML) based performance improvement of wireless …
efforts focused on machine learning (ML) based performance improvement of wireless …
Big data analysis of the internet of things in the digital twins of smart city based on deep learning
The study aims to conduct big data analysis (BDA) on the massive data generated in the
smart city Internet of things (IoT), make the smart city change to the direction of fine …
smart city Internet of things (IoT), make the smart city change to the direction of fine …
Deep learning for security in digital twins of cooperative intelligent transportation systems
The purpose is to solve the security problems of the Cooperative Intelligent Transportation
System (CITS) Digital Twins (DTs) in the Deep Learning (DL) environment. The DL algorithm …
System (CITS) Digital Twins (DTs) in the Deep Learning (DL) environment. The DL algorithm …
Contour stella image and deep learning for signal recognition in the physical layer
The rapid development of communication systems poses unprecedented challenges, eg,
handling exploding wireless signals in a real-time and fine-grained manner. Recent …
handling exploding wireless signals in a real-time and fine-grained manner. Recent …
An efficient specific emitter identification method based on complex-valued neural networks and network compression
Specific emitter identification (SEI) is a promising technology to discriminate the individual
emitter and enhance the security of various wireless communication systems. SEI is …
emitter and enhance the security of various wireless communication systems. SEI is …
[HTML][HTML] Large-scale real-world radio signal recognition with deep learning
TU Ya, LIN Yun, ZHA Haoran, J Zhang, W Yu… - Chinese Journal of …, 2022 - Elsevier
In the past ten years, many high-quality datasets have been released to support the rapid
development of deep learning in the fields of computer vision, voice, and natural language …
development of deep learning in the fields of computer vision, voice, and natural language …
Deep learning-based smart predictive evaluation for interactive multimedia-enabled smart healthcare
Two-dimensional arrays of bi-component structures made of cobalt and permalloy elliptical
dots with thickness of 25 nm, length 1 mm and width of 225 nm, have been prepared by a …
dots with thickness of 25 nm, length 1 mm and width of 225 nm, have been prepared by a …
Vehicle assisted computing offloading for unmanned aerial vehicles in smart city
Smart city emerges a promising paradigm for improving operational efficiency of city and
comfort of people. With embedded multi-sensors, Unmanned Aerial Vehicles (UAVs) hold …
comfort of people. With embedded multi-sensors, Unmanned Aerial Vehicles (UAVs) hold …
Complex-valued networks for automatic modulation classification
Deep learning (DL) has been recognized as an effective solution for automatic modulation
classification (AMC). However, most recent DL based AMC works are based on real-valued …
classification (AMC). However, most recent DL based AMC works are based on real-valued …