Skip to main content
Frnaz Akbar on Muck Rack

Frnaz Akbar

As seen in: Nature
Is this you? As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work. Claim your profile

Get in touch with Frnaz

Contact Frnaz, search articles and posts on X, monitor coverage, and track replies from one place.

Learn more about Muck Rack

Actions

Share this page

Is this you?

As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.
Claim your profile

Articles

A deep-SVM hybrid framework with enhanced EEG feature engineering and SHAP-based explainability for Alzheimer’s classification

|
By Yazeed Alkhrijah, Syed Usman, Shehzad Khalid, Imran Ihsan, Mohamad A. Alawad, Frnaz Akbar
| Nature Verified
Abstract Accurate classification among Alzheimer’s Disease (AD), Fronto Temporal Dementia (FTD), and Cognitively Normal (CN) adults from EEG remains challenging. We propose a multi-class classification method that fuses interpretable spectral/connectivity biomarkers (band power, spectral entropy, \(\alpha\)-coherence) with compact temporal embeddings from a customized lightweight one Dimensional Convolutional Neural Network (1D-CNN).
Open in Who Shared Issue with article?
See all 1 articles