Latest AI and machine learning research in prevention of medical errors for healthcare professionals.
Task-oriented semantic communication has emerged as a fundamental approach for enhancing performan...
Masks are essential in medical settings and during infectious outbreaks but significantly impair s...
INTRODUCTION: Neurodegenerative diseases (NDDs) are chronic diseases caused by brain neuron degenera...
Short-dipole diode sensors loaded with highly resistive lines are commonly used to measure the time-...
BACKGROUND: Metabolic syndrome (MetS) is a progressive chronic pathophysiological state characterise...
Semantic communication is proposed and expected to improve the efficiency and effectiveness of mas...
Federated domain generalization (FedDG) aims to learn a globally generalizable model from decentra...
Optical communication using modulated LEDs (e.g., visible light communication) is an emerging appl...
Following AI scaling trends, frontier models continue to grow in size and continue to be trained o...
Molecular Communication (MC) has long been envisioned to enable an Internet of Bio-Nano Things (Io...
Cashierless stores rely on computer vision and RFID tags to associate shoppers with items, but con...
Neurotensin receptor 1 (NTSR1), a member of the Class A G protein-coupled receptor superfamily, pl...
As semantic communication (SemCom) attracts growing attention as a novel communication paradigm, e...
This paper introduces a novel federated learning framework termed LoRa-FL designed for training lo...
Edge computing-based Next-Generation Wireless Networks (NGWN)-IoT offer enhanced bandwidth capacit...
A new class of Multi-Rotor Aerial Vehicles (MRAVs), known as omnidirectional MRAVs (o-MRAVs), has ...
Federated Graph Learning (FGL) is an emerging distributed learning paradigm that enables collabora...
Multi-agent collaboration holds great promise for enhancing the safety, reliability, and mobility ...
Federated Learning (FL) faces major challenges regarding communication overhead and model privacy ...
The ability to predict drug overdose risk from a patient's medical records is crucial for timely i...
The next generation of wireless communications seeks to deeply integrate artificial intelligence (...