Diagnosing Cataracts in the Digital Age: A Survey on AI, Metaverse, and Digital Twin Applications

A Jones, TB Vijayan, S John - Seminars in Ophthalmology, 2024 - Taylor & Francis
Purpose The study explores the evolving landscape of cataract diagnosis, focusing on both
traditional methods and innovative technological integrations. It aims to address challenges …

Classification of EYE Diseases Using Multi-Model CNN

D Jose - 2023 IEEE 4th Annual Flagship India Council …, 2023 - ieeexplore.ieee.org
This paper proposes a classification method that utilizes Convolutional Neural Networks
(CNNs) to detect eye diseases at an early stage. The most common eye diseases such as …

Quantitative Analysis and Collision Risk Assessment of Near-Earth Orbit Space Debris for Sustainable Space Exploration

N Babu, S Bairavel, JRJ Raja, FKF Khan… - 2024 International …, 2024 - ieeexplore.ieee.org
This study employs a rigorous data-driven approach to quantitatively assess the risks
associated with N ear-Earth Objects (NEOs). Focusing on NEOs with diameters exceeding …

Precision Agriculture and AI: Nurturing Sustainable Food Ecosystems

RSML Patibandla, BT Rao, RM Malla - AI in Agriculture for Sustainable … - taylorfrancis.com
Artificial intelligence (AI) and precision agriculture represent a breakthrough in
contemporary farming methods and the start of a sustainable technology era. The intricate …

Methods for Exploiting High-Resolution Imagery for Deep Learning-Based Diabetic Retinopathy Detection and Grading

AM Saunders - 2023 - ecommons.udayton.edu
Diabetic retinopathy is a disease that affects the eyes of people with diabetes, and it can
cause blindness. To diagnose diabetic retinopathy, ophthalmologists image the back …