Machine learning (ML) is reshaping pipeline integrity management (PIM) from physics-based to data-driven paradigms. This ...

This repository includes the code of the ECG-DualNet for ECG classification proposed in the paper Exploring Novel Algorithms for Atrial Fibrillation Detection by Driving Graduate Level Education in ...

Abstract: Given the fact that smart grids integrate distributed energy resources and advance communication technologies, which have high security vulnerability to the attack of denying service (DoS), ...

A European human rights body has ruled that Meta, Facebook's parent company, engaged in gender discrimination on its job advertisements' algorithm. The Netherlands Institute for Human Rights found ...

These include such learning paradigms as Q-Learning and the Deep Q-Networks setups. Reinforcement Learning paradigms essentially aim at teaching robots to undertake certain actions that will be used ...

Abstract: Driver distraction is a critical safety concern on roadways, with potentially life-threatening consequences. The proposed system combines the spatial characteristic extraction capabilities ...

The field of neuroimaging has experienced a remarkable revolution with the advent of machine learning algorithms. Brain imaging techniques such as magnetic resonance imaging (MRI), functional MRI ...

Terminologies like Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning are hype these days. People, however, often use these terms interchangeably. Although these terms highly ...

In this paper, we examine whether machine learning and deep learning can be used to predict difficult airway intubation in patients undergoing thyroid surgery. The top 5 weighting factors for ...

Celiac disease is a disorder of the immune system that mainly affects the small intestine but can also affect the skeletal system. The diagnosis relies on histological assessment of duodenal biopsies ...