Robotics & Machine Learning Daily News2024,Issue(Mar.18) :58-58.DOI:10.1016/j.enconman.2024.118091

New Findings on Machine Learning from Sorbonne University Summarized (Applicatio n of Machine Learning To Enhance the Performance of a Two-stage, Two-temperature Ejector Cycle Driven By the Waste Heat of Exhaust Gas)

Robotics & Machine Learning Daily News2024,Issue(Mar.18) :58-58.DOI:10.1016/j.enconman.2024.118091

New Findings on Machine Learning from Sorbonne University Summarized (Applicatio n of Machine Learning To Enhance the Performance of a Two-stage, Two-temperature Ejector Cycle Driven By the Waste Heat of Exhaust Gas)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A new study on Machine Learning is now available. According to news reporting from Paris, France, by NewsRx journalist s, research stated, “This article introduces an innovative two-stage, two-temper ature ejector cycle (NTDERC) capable of simultaneously generating cooling and el ectricity. It harnesses waste heat from exhaust gases and is purposefully design ed to operate with a neutral carbon footprint.”

Key words

Paris/France/Europe/Cyborgs/Emerging Technologies/Machine Learning/Sorbonne University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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参考文献量45
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