Intelligent Reflecting Surface Aided Vehicular Communications
We investigate the use of an intelligent reflecting surface (IRS) in a millimeter-wave (mmWave) vehicular communication network. An intelligent reflecting surface consists […]
Evaluation of Machine Learning Techniques for Security in SDN
Software Defined Networking (SDN) has emerged as the most viable programmable network architecture to solve many challenges in legacy networks. SDN separates […]
Channel Charting for Pilot Reuse in mMTC with Spatially Correlated MIMO Channels
Massive multiple-input multiple-output (MIMO) systems and pilot reuse are essential ingredients for internet of things (IoT) networks and massive machine-type communications (mMTC). […]
Phase Configuration Learning in Wireless Networks with Multiple Reconfigurable Intelligent Surfaces
Reconfigurable Intelligent Surfaces (RISs) are recently gaining remarkable attention as a low-cost, hardware-efficient, and highly scalable technology capable of offering dynamic control […]
Vision-based Fall Detection using Body Geometry?
Falling is a major health problem that causes thousands of deaths every year, according to the World Health Organization. Fall detection and […]
On the Optimal Duration of Spectrum Leases in Exclusive License Markets With Stochastic Demand
This paper addresses the following question which is of interest in designing efficient exclusive-use spectrum licenses sold through spectrum auctions. Given a […]
Surface Functionalization of 2D MXenes
Using a multiscale computational scheme, we study the trends in distribution and composition of the surface functional groups −O, −OH, and −F […]
ESSMAR
The recent advances in mobile devices and wireless communication sector transformed Mobile Augmented Reality (MAR) from science fiction to reality. Among the […]
Micro-expression spotting
Micro-expressions (MEs) are brief and involuntary facial expressions that occur when people are trying to hide their true feelings or conceal their […]
A User-Centric Mechanism for Sequentially Releasing Graph Datasets under Blowfish Privacy
In this article, we present a privacy-preserving technique for user-centric multi-release graphs. Our technique consists of sequentially releasing anonymized versions of these […]