Introduction Atrial fibrillation (AF) is the leading cause of cardioembolic stroke and is associated with increased stroke severity and fatality. Early identification of AF is essential for adequate ...
Researchers at Osaka Metropolitan University have discovered a practical way to detect and fix common labeling errors in ...
Abstract: This work proposes a wearable system for the specific application of drowsiness detection in activities of daily living. The system is based on a new family of electrostatic sensors (Qvar) ...
At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...
From disaster zones to underground tunnels, robots are increasingly being sent where humans cannot safely go. But many of ...
Abstract: The proliferation of Internet of Things (IoT) devices has increased susceptibility to Distributed Denial of Service (DDoS) attacks, exposing the limitations of traditional security ...
Scientists have engineered a protein able to record the incoming chemical signals of brain cells (as opposed to just their ...
University of Arizona researchers in the Gutruf Lab have developed a comfortable, easy-to-use wearable device that incorporates artificial intelligence to detect subtle warning signs of frailty, ...
A new study by researchers at the Icahn School of Medicine at Mount Sinai suggests that artificial intelligence (AI) could ...
This repository is the official implementation of ESCNet:Edge-Semantic Collaborative Network for Camouflaged Object Detection For ease of use, we create a eval.sh script and a use case in the form of ...
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