Robotics & Machine Learning Daily News2024,Issue(Oct.9) :11-11.

Findings from University of Glasgow Yields New Findings on Artificial Intelligen ce (Artificial-intelligence-driven Model for Resistive Superconducting Fault Cur rent Limiter In Future Electric Aircraft)

Robotics & Machine Learning Daily News2024,Issue(Oct.9) :11-11.

Findings from University of Glasgow Yields New Findings on Artificial Intelligen ce (Artificial-intelligence-driven Model for Resistive Superconducting Fault Cur rent Limiter In Future Electric Aircraft)

扫码查看

Abstract

Fresh data on Artificial Intelligence are presented in a new report. According to news reporting originating in Glasgo w, United Kingdom, by NewsRx journalists, research stated, "Fast and accurate el ectrothermal characterization of superconducting fault current limiters (SFCLs) is critically important for their performance evaluation. At the design stage of the SFCL, simulation is needed to validate the feasibility of the idea before f abrication." Financial support for this research came from Engineering & Physic al Sciences Research Council (EPSRC).

Key words

Glasgow/United Kingdom/Europe/Artific ial Intelligence/Emerging Technologies/Machine Learning/University of Glasgow

引用本文复制引用

出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
段落导航相关论文