Robotics & Machine Learning Daily News2024,Issue(Dec.12) :32-33.

Researchers at Harbin Institute of Technology Report New Data on Machine Learnin g (Machine Learning Classification Applied To the Effect of Afsd Process Paramet ers On Tensile Properties)

Robotics & Machine Learning Daily News2024,Issue(Dec.12) :32-33.

Researchers at Harbin Institute of Technology Report New Data on Machine Learnin g (Machine Learning Classification Applied To the Effect of Afsd Process Paramet ers On Tensile Properties)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Researchers detail new data in Machine Learning. According to news reporting fromWeihai, People’s Republic of China, by NewsRx journalists, research stated, “Additive Friction Stir Deposition(AFSD ) is a key technology in additive manufacturing, where process parameters greatl y impactdeposition layer properties. Currently, there is no established method for systematically improving theseproperties through parameter investigation.”

Key words

Weihai/People’s Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learning/Harbin Institute of Technolo gy

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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