Oak Ridge National Laboratory (ORNL) used artificial intelligence and a physics-based understanding of streamflow to create a ...

This repository contains my 25day learning journey exploring core concepts of Electrical Power Systems using MATLAB. The goal of this project was to move from basic concepts to advanced visualization ...

Abstract: Traditional fault detection systems in power networks face significant challenges in accurately identifying complex fault patterns, particularly in multi-bus configurations with varying ...

You're probably a little tired of reading or hearing about AI, right? Well, if that's the case, then you're in the right place because here, we're going to talk about machine learning (ML). Yes, it's ...

Abstract: Effective fault identification and diagnosis are critical in modern power systems to ensure operational reliability and reduce economic losses. This research describes a novel approach that ...

We have attempted to develop a Fracture Line Detection System using MATLAB and its Image Processing Toolbox. The system aims to assist radiologists by processing X-ray images to automatically ...

In response to escalating environmental challenges and the global energy crisis, Europe has established ambitious targets to reduce greenhouse gas emissions and increase the production of renewable ...

Scientists in Japan have developed a new, highly efficient method for designing wireless power transfer (WPT) systems. Based on machine learning, the method enables a system to maintain stable voltage ...

See more of our trusted coverage when you search. Prefer Newsweek on Google to see more of our trusted coverage when you search. A nationwide study from the Urban Resilience AI Lab at Texas A&M ...