Robotics & Machine Learning Daily News2024,Issue(Nov.5) :163-163.

Central South University Researchers Have Published New Study Findings on Autono mous Intelligence (Life cycle assessment of metal powder production: a Bayesian stochastic Kriging modelbased autonomous estimation)

Robotics & Machine Learning Daily News2024,Issue(Nov.5) :163-163.

Central South University Researchers Have Published New Study Findings on Autono mous Intelligence (Life cycle assessment of metal powder production: a Bayesian stochastic Kriging modelbased autonomous estimation)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators discuss new findings in autonomous intelligence.According to news originating from Central South Univer sity by NewsRx correspondents, research stated, “Metal powder contributes to the environmental burdens of additive manufacturing (AM) substantially.Current lif e cycle assessments (LCAs) of metal powders present considerable variations of l ifecycle environmental inventory due to process divergence, spatial heterogeneit y, or temporal fluctuation.”Financial supporters for this research include National Natural Science Foundati on of China; Project of Guangdong Science And Technology Innovation Strategy.

Key words

Central South University/Autonomous Int elligence/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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