Binary neural networks (BNNs) have been widely adopted to reduce the
com...
Vehicle-to-Everything (V2X) communications play a crucial role in ensuri...
Satellite systems face a significant challenge in effectively utilizing
...
Federated learning (FL) enables a decentralized machine learning paradig...
As a distributed machine learning technique, federated learning (FL) req...
Semantic communication has gained significant attention from researchers...
Connected and autonomous vehicles (CAVs) can reduce human errors in traf...
Segment anything model (SAM) is a prompt-guided vision foundation model ...
Segment anything model (SAM), as the name suggests, is claimed to be cap...
Generative AI (AIGC, a.k.a. AI generated content) has made remarkable
pr...
Meta AI Research has recently released SAM (Segment Anything Model) whic...
OpenAI has recently released GPT-4 (a.k.a. ChatGPT plus), which is
demon...
Federated learning-assisted edge intelligence enables privacy protection...
Federated learning (FL) is a distributed machine learning technique in w...
As ChatGPT goes viral, generative AI (AIGC, a.k.a AI-generated content) ...
With the rapid growth of intelligent transportation systems (ITS), there...
Today's wireless systems are posing key challenges in terms of quality o...
To reduce negative environmental impacts, power stations and energy grid...
In contrast to centralized model training that involves data collection,...
Explainable artificial intelligence (XAI) twin systems will be a fundame...
THz band communication technology will be used in the 6G networks to ena...
In recent years, unmanned aerial vehicles (UAVs) assisted mobile edge
co...
Emerging intelligent transportation applications, such as accident repor...
In the realm of wireless communications in 5G, 6G and beyond, deploying
...
Recently, significant research efforts have been initiated to enable the...
Next-generation networks need to meet ubiquitous and high data-rate dema...
Future wireless services must be focused on improving the quality of lif...
Non-terrestrial networks (NTN), encompassing space and air platforms, ar...
One of the core envisions of the sixth-generation (6G) wireless networks...
Non-terrestrial networks (NTNs), which integrate space and aerial networ...
In this paper, the design of a rational decision support system (RDSS) f...
Recently, unmanned aerial vehicles (UAVs) assisted multi-access edge
com...
In this letter, a novel framework is proposed for analyzing data offload...
The recent trend towards the high-speed transportation system has spurre...
Unmanned aerial vehicles (UAVs) are widely deployed to enhance the wirel...
Sixth-Generation (6G)-based Internet of Everything applications (e.g.
au...
The proliferation of digitization and complexity of connectivity in
Cybe...
In this paper, a novel framework for guaranteeing ultra-reliable millime...
Industrial processes rely on sensory data for decision-making processes,...
Internet of Everything (IoE) applications such as haptics, human-compute...
Federated Learning is a new learning scheme for collaborative training a...
Unmanned aerial vehicle (UAV)-assisted multi-access edge computing (MEC)...
In this paper, the problem of unmanned aerial vehicle (UAV) deployment a...
Industrial processes rely on sensory data for critical decision-making
p...
The Internet of Things (IoT) will be ripe for the deployment of novel ma...
This article proposes a self-organizing collaborative computing network ...
This paper presents a cognitive behavioral-based driver mood repairment
...
The ongoing deployment of the Internet of Things (IoT)-based smart
appli...
COVID-19 is a global epidemic. Till now, there is no remedy for this
epi...
In this paper, the problem of delay minimization for federated learning ...