RAPOO: An Efficient Privacy-Preserving Facial Expression Recognition via Mobile Crowdsensing
Study on recycling of lead‐based piezoceramics using trimethylchloromethyl ammonium‐based halide perovskite binder
Oxide-halide perovskite upside-down composites have been demonstrated for recycling heavy-eco-footprint piezoceramics. However, options for the binders are limited. As the binder significantly […]
Towards Message Brokers for Generative AI: Survey, Challenges, and Opportunities
In today’s digital world, GenAI is becoming increasingly prevalent by enabling unparalleled content generation capabilities for a wide range of advanced applications. […]
Age and Power Minimization via Meta-Deep Reinforcement Learning in UAV Networks
Age-of-information (AoI) and transmission power are crucial performance metrics in low energy wireless networks, where information freshness is of paramount importance. This […]
Practical Challenges for Reliable RIS Deployment in Heterogeneous Multi-Operator Multi-Band Networks
Reconfigurable intelligent surfaces (RISs) have been introduced as arrays of nearly passive elements with software-tunable electromagnetic properties to dynamically manipulate the reflection/transmission […]
Digital-Twin-6G Empowered Future Smart Grid Applications
In the era of digitalization, industries are experiencing transformative advancements driven by technology and data utilization. The energy sector, in particular, is […]
Coverage Analysis for 3D Indoor Terahertz Communication System Over Multi-Cluster Fluctuating Two-Ray Fading Channels
In this paper, we develop a novel analytical framework for a three-dimensional (3D) indoor terahertz (THz) communication system. Our proposed model incorporates […]
Spatial-Temporal Discretization Optimization in the Modeling of Optical and RF Wireless Networks
Many optimization frameworks and mathematical models have been proposed for standalone optical and radio frequency (RF) wireless networks, as well as their […]
Digital and Hybrid Precoding Designs in Massive MIMO with Low-Resolution ADCs
Low-resolution analog-to-digital converters (ADCs) have emerged as an efficient solution for massive multiple-input multiple-output (MIMO) systems to reap high data rates with […]
Learning from Yourself to Others for Unsupervised Visible-Infrared Re-Identification
Unsupervised visible-infrared person re-identification (US-VI-ReID) aims to match unlabeled pedestrian images captured under varying lighting conditions. The key challenge lies in generating […]