Robotics & Machine Learning Daily News2024,Issue(Dec.30) :8-9.

Ternopil Ivan Puluj National Technical University Researcher Describes Advances in Machine Learning (Loading Frequency Classification in Shape Memory Alloys: A Machine Learning Approach)

Robotics & Machine Learning Daily News2024,Issue(Dec.30) :8-9.

Ternopil Ivan Puluj National Technical University Researcher Describes Advances in Machine Learning (Loading Frequency Classification in Shape Memory Alloys: A Machine Learning Approach)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New study results on artificial intell igence have been published. According to newsoriginating from Ternopil, Ukraine , by NewsRx editors, the research stated, “This paper investigates theuse of ma chine learning methods to predict the loading frequency of shape memory alloys ( SMAs) basedon experimental data. SMAs, in particular nickel-titanium (NiTi) all oys, have unique properties thatrestore the original shape after significant de formation.”

Key words

Ternopil Ivan Puluj National Technical U niversity/Ternopil/Ukraine/Europe/Alloys/Cyborgs/Emerging Technologies/Ma chine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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