Robotics & Machine Learning Daily News2024,Issue(Jul.8) :26-26.

State University of New York - Stony Brook University Researcher Discusses Findi ngs in Machine Learning (Toward ultra-efficient high-fidelity predictions of win d turbine wakes: Augmenting the accuracy of engineering models with machine lear ning)

Robotics & Machine Learning Daily News2024,Issue(Jul.8) :26-26.

State University of New York - Stony Brook University Researcher Discusses Findi ngs in Machine Learning (Toward ultra-efficient high-fidelity predictions of win d turbine wakes: Augmenting the accuracy of engineering models with machine lear ning)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on ar tificial intelligence. According to news reportingoriginating from Stony Brook, New York, by NewsRx correspondents, research stated, “This study proposesa nov el machine learning (ML) methodology for the efficient and cost-effective predic tion of high-fidelitythree-dimensional velocity fields in the wake of utility-s cale turbines.”Funders for this research include Water Power Technologies Office; National Scie nce Foundation;National Offshore Wind Research And Development Consortium.

Key words

State University of New York - Stony Bro ok University/StonyBrook/New York/United States/North and Central America/Cyborgs/Emerging Technologies/Engineering/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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