Bridging the gap: Connecting math and AI for discovery

Some, however, find that bridging fields opens new realms of possibility. Henry Kvinge, who trained as a mathematician but ...
Johns Hopkins Medicine

Machine Learning Method Enables Easier and Wider Use of Martin-Hopkins Equation to Accurately Assess LDL Cholesterol Risk

The Martin-Hopkins equation to assess low-density lipoprotein (LDL) cholesterol levels in blood samples has been used by ...
Tech Xplore

AI that learns from the clouds: Researchers' system forecasts solar power output

Solar energy is becoming one of the world's most important sources of electricity. In Lithuania, the number of solar power ...
Tech Xplore

Researchers achieve remote, autonomous power control of a research reactor in real time

For the first time, researchers from Idaho National Laboratory, the Grainger College of Engineering at the University of ...
GitHub

MATLAB and Simulink Challenge Projects

Contribute to the progress of engineering and science by solving key industry challenges! Are you looking for a design or research project idea with real industry relevance and societal impact?
IEEE

RECLAIM: Renewable Energy Based Demand-Side Management Using Machine Learning Models

Abstract: The diesel generators sets (DGs) and battery storage systems (BSS) are the essential energy sources in a modern high-rise buildings. In this paper DG, BSS and Photovoltaic system (PV) has ...
IEEE

Machine Learning-Based Predictive Techno-Economic Analysis of Power System

Abstract: This paper proposes a predictive techno-economic analysis in terms of voltage stability and cost using regression-based machine learning (ML) models and effectiveness of the analysis is ...