We consider a random access network consisting of source-destination pai...
Automated driving systems can be helpful in a wide range of societal
cha...
Mobile edge computing (MEC) is essential for next-generation mobile netw...
Exploiting the computational heterogeneity of mobile devices and edge no...
We propose a frame slotted ALOHA (FSA)-based protocol for a random acces...
Training Graph Neural Networks (GNNs) on large graphs is challenging due...
Social determinants of health (SDoH) have a significant impact on health...
The ubiquity of camera-embedded devices and the advances in deep learnin...
Realistic dynamic garments on animated characters have many AR/VR
applic...
The proliferation of real-time applications has motivated extensive rese...
Great progress has been achieved in the community of autonomous driving ...
Sign language translation as a kind of technology with profound social
s...
Lip reading, aiming to recognize spoken sentences according to the given...
Many autonomous systems, such as driverless taxis, perform safety critic...
Federated learning enables machine learning algorithms to be trained ove...
A vital task of the wider digital human effort is the creation of realis...
Opponent modeling is essential to exploit sub-optimal opponents in strat...
Owning to the unremitting efforts by a few institutes, significant progr...
Creating fine garment details requires significant efforts and huge
comp...
Quality control is of vital importance during electronics production. As...
The proliferation of real-time applications has spurred much interest in...
We introduce the concept of fresh data trading, in which a destination
u...
Photorealistic style transfer is the task of transferring the artistic s...
In this letter, we study relay-aided networks with presence of single
ea...
This paper studies the beamforming design problem of a multi-user downli...
In this paper, we investigate the robust beamforming schemes for a multi...
In this paper, we consider infinite number of non atomic self-interested...
While an important problem in the vision community is to design algorith...
Missing traces in acquired seismic data is a common occurrence during th...
In many real-time applications, the deployment of deep neural networks i...
The wireless power transfer (WPT) technology enables a cost-effective an...
We introduce the concept of a fresh data market, in which a destination ...
Network sharing has become a key feature of various enablers of the next...
Discovering social relations in images can make machines better interpre...
Identifying patients who will be discharged within 24 hours can improve
...
We introduce Hair-GANs, an architecture of generative adversarial networ...
Mobile Collaborative Internet Access (MCA) enables mobile users to share...
UAV networks often partition into separated clusters due to the high nod...
In recent years, convolutional neural networks (CNNs) have shown great
p...
In recent years, intelligent fault diagnosis algorithms using machine
le...
The fifth generation (5G) wireless communications brag both high spectru...
Traditional intelligent fault diagnosis of rolling bearings work well on...
Machine-learning excels in many areas with well-defined goals. However, ...