Abstract: Deploying advanced deep learning models on resource-constrained, battery-powered robots presents significant system-level challenges in balancing performance, power efficiency, and ...

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, ...

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 ...