Energy-efficient and reliable data collection in receiver-initiated wake-up radio enabled IoT networks
In unmanned aerial vehicle (UAV)-assisted wake-up radio (WuR)-enabled internet of things (IoT) networks, UAVs can instantly activate the main radios (MRs) of […]
PSELDNets: Pre-Trained Neural Networks on a Large-Scale Synthetic Dataset for Sound Event Localization and Detection
Sound event localization and detection (SELD) has seen substantial advancements through learning-based methods. These systems, typically trained from scratch on specific datasets, […]
Edge AI for Earth Observation
Earth observation (EO), edge computing, and artificial intelligence (AI) are rapidly advancing technologies with diverse applications and benefits. Integrating edge computing and […]
Deep learning-based occlusion-aware face mask detection for airborne disease control
Airborne infectious diseases are a significant threat to human beings. Nowadays, one of the deadliest airborne diseases, coronavirus (COVID-19), is resulting in […]
3D-printed shapeable hybrid Nanocellulose/aramid nanofiber aerogels for thermal insulation of portable electronics
The rapid development of telecommunication systems and portable electronics requires the miniaturization and integration of electronic components and devices. However, these advanced […]
Rapid Salient Object Detection With Difference Convolutional Neural Networks
This paper addresses the challenge of deploying salient object detection (SOD) on resource-constrained devices with real-time performance. While recent advances in deep […]
SCISSORS: System Level Error Detection for Enabling Near-Threshold Operating Systolic Arrays
Since dynamic power has a quadratic relationship with voltage, reducing voltage is an effective way to lower power consumption in digital circuits. […]
Dynamical Causal Graph Neural Network for EEG Emotion Recognition
Recently, topological graphs based on structural or functional connectivity of brain network have been utilized to construct graph neural networks (GNN) for […]
A self-supervised multimodal framework for 1D physiological data fusion in remote health monitoring
The growth of labeled data for remote healthcare analysis lags far behind the rapid expansion of raw data, creating a significant bottleneck. […]
Multi-Timescale Resource Reservation and Allocation Through Meta Distribution for Network Operators to Enable eMBB and URLLC Coexistence
We study the problem of resource reservation and allocation (RRA), aiming to enable network operators (NOs) to effectively develop the coexistence of […]