News

IEEE19h
Multi-Task Learning for Tomato Crop Disease Detection and Severity Estimation using CNN Framework - IEEE Xplore
In this study, the process utilizes convolutional neural networks (CNN) and VGG16 architecture. The determination of disease severity and the stage of the disease is conducted through multi-task ...
IEEE16d
Deep Learning-Driven Early Detection of Alzheimer’s Disease using CNN - IEEE Xplore
Researchers evaluate Convolutional Neural Networks as tools for early identification and staging of Alzheimer's disease (AD) using MRI data collected from the Open Access Series of Imaging Studies ...
New York Sun17d
Scientists Use AI — and Earwax — for Early Detection of Parkinson’s Disease With 94 Percent Accuracy
A groundbreaking study from researchers in China analyzing earwax with the help of artificial intelligence offers a glimmer of hope in the fight against Parkinson’s disease. Using an innovative ...
GitHub24d
Pull requests: ROYSAVAR/Poultry-Disease-Detection-using-CNN-Architectures - GitHub
Welcome to pull requests! Pull requests help you collaborate on code with other people. As pull requests are created, they’ll appear here in a searchable and filterable list. To get started, you ...