Abstract: Falls are a leading health risk for the elderly, highlighting the need for accurate and unobtrusive monitoring systems. Traditional camera-based approaches often raise privacy concerns, ...
ABSTRACT: Eye center annotation is vital for ophthalmic diagnostics and surgery. However, existing algorithms often require specialized equipment and face challenges in real-time performance, ...
Deep learning algorithms for ultra-widefield fundus photos can identify retinal detachments with precision, supporting early diagnoses in varied settings. Deep learning (DL) models applied to ...
Smart Attendance is a modern, intelligent attendance management system designed for educational institutions. It leverages cutting-edge facial recognition technology to automate attendance tracking, ...
A Real-Time Road Damage Detection System for IoT Edge Devices Using Lightweight Deep Learning Models
Abstract: Road damage detection is essential for timely pavement maintenance and transportation safety. Traditional approaches, which rely on manual inspection, are both time-consuming and ...
Recent advancements in deep learning have significantly transformed weather recognition, enabling more accurate and real‐time interpretation of meteorological conditions from visual data. Techniques ...
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