An improved and provably secure symmetric-key based 5G-AKA Protocol
One of the primary authentication mechanisms defined for the 5G system is the 5G-Authentication and Key Agreement (5G-AKA) protocol. It is set […]
Feature-Based Vehicle Identification Framework for Optimization of Collective Perception Messages in Vehicular Networks
The world is moving towards a fully connected digital world, where objects produce and consume data, at a sultry pace. Autonomous vehicles […]
Coalitional Formation-Based Group-Buying for UAV-Enabled Data Collection: An Auction Game Approach
Unmanned aerial vehicles (UAVs) enable promising solutions in assisting data collection in wide-area distributed sensor networks, leveraging their advanced properties of high […]
Coalitional Formation-Based Group-Buying for UAV-Enabled Data Collection
Unmanned aerial vehicles (UAVs) enable promising solutions in assisting data collection in wide-area distributed sensor networks, leveraging their advanced properties of high […]
Broadband Cross-Slotted Patch Antenna for 5G Millimeter-Wave Applications Based on Characteristic Mode Analysis
This article proposes a wideband differentially-fed dual-polarized magnetoelectric (ME) dipole for millimeter-wave (mm-Wave) applications. Various electric and magnetic characteristic modes of a […]
Importance-Aware Information Bottleneck Learning Paradigm for Lip Reading
Lip reading is the task of decoding text from speakers’ mouth movements. Numerous deep learning-based methods have been proposed to address this […]
The Many Faces of Edge Intelligence
Edge Intelligence (EI) is an emerging computing and communication paradigm that enables Artificial Intelligence (AI) functionality at the network edge. In this […]
Decoupling Makes Weakly Supervised Local Feature Better
Weakly supervised learning can help local feature methods to overcome the obstacle of acquiring a large-scale dataset with densely labeled correspondences. However, […]
Learning Optimal K-space Acquisition and Reconstruction using Physics-Informed Neural Networks
The inherent slow imaging speed of Magnetic Resonance Image (MRI) has spurred the development of various acceleration methods typically through heuristically undersampling […]
AxIoU
Evaluation measures have a crucial impact on the direction of research. Therefore it is of utmost importance to develop appropriate and reliable […]