IEEE

Interpretable Hybrid Multichannel Deep Learning Model for Heart Disease Classification Using 12-Lead ECG Signal

Abstract: An electrocardiogram (ECG) is a non-invasive and cost-effective method for diagnosing heart disease. However, physicians often face challenges in interpreting ECG. As a result, deep learning ...
IEEE

A Hybrid Brain Tumor Classification Using FL With FedAvg and FedProx for Privacy and Robustness Across Heterogeneous Data Sources

Abstract: Data privacy and heterogeneity among healthcare settings present fundamental challenges to machine learning (ML) brain tumor classification (BTC) model development based on local data. In ...
TechCrunch

Spotify says its best developers haven’t written a line of code since December, thanks to AI

Has AI coding reached a tipping point? That seems to be the case for Spotify at least, which shared this week during its fourth-quarter earnings call that the best developers at the company “have not ...
navalnews

Saronic Tapped to Assist DARPA’s Pulling Guard Program

Artist's depiction of the Pulling Guard system in action defending a merchant vessel. DARPA Image, drawn by Colie Wertz. Share Saronic has been selected to aid in the Defense Advanced Research ...
GitHub

Medical Image Classification for Disease Diagnosis Using Convolutional Neural Networks

The project titled "Medical Image Classification for Disease Diagnosis Using Convolutional Neural Networks" aims to develop a robust and accurate machine learning model for the automatic ...