Chronic obstructive pulmonary disease (COPD) is a leading cause of morbidity and mortality globally. Effective management ...

Abstract: The past decade has seen scores of academic studies investigating the use of machine learning to automatically find anomalies in spacecraft telemetry streams. Despite the tremendous progress ...

Abstract: With the rapid development of the Internet of Medical Things (IoMT) and deep learning technology, automatic electrocardiogram (ECG) signal classification has become increasingly important ...

Automated diagnosis of chronic obstructive pulmonary disease using deep learning applied to electrocardiogramsJournal: eBioMedicine ...

Tesla stock slid as Nvidia’s CES autonomy push raises doubts over Tesla’s AI edge amid delivery weakness and rising ...

Shahar Azulay, CEO and cofounder of groundcover is a serial R&D leader. Shahar brings experience in the world of cybersecurity and machine learning having worked as a leader in companies such as Apple ...

This repository contains an implementation of Q-HEART (ECAI 2025), a novel multimodal framework for Electrocardiogram (ECG) Question Answering (ECG-QA). Q-HEART is designed to bridge the gap between ...

Formula 1 teams live in a world where a single misjudged flick of carbon fiber can decide a championship. Aerodynamicists are ...

VS Code is one of the most popular open-source (mostly) applications out there, and for good reason: It does everything you ...

This project implements an advanced data mining and exploration pipeline for detecting network anomalies / potential intrusions using classical and modern machine learning methods. It is designed as a ...

Ghana's international golfer, Danny List, hosted a thrilling two-hour golf training session for 50 children at the Achimota Golf Pitch in Accra on Sunday, ...