Robotics & Machine Learning Daily News2024,Issue(MAY.2) :22-22.

Findings from National University of Defense Technology Yields New Findings on M achine Learning (Accurately Predicting Multiple Performance of 3d Printing Photo polymers Using Ensemble Learning)

Robotics & Machine Learning Daily News2024,Issue(MAY.2) :22-22.

Findings from National University of Defense Technology Yields New Findings on M achine Learning (Accurately Predicting Multiple Performance of 3d Printing Photo polymers Using Ensemble Learning)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Ma chine Learning. According to news reportingoriginating in Changsha, People’s Re public of China, by NewsRx journalists, research stated, “The scarcityof high-p erformance 3D printing materials, particularly polymers, is the primary constrai nt on the high-endmanufacturing capabilities of 3D printing. In this regard, ac curately predicting the performance of 3Dprinting materials plays a crucial rol e in discovering high-performance 3D printing materials.”

Key words

Changsha/People’s Republic of China/As ia/Cyborgs/Emerging Technologies/Machine Learning/National University of Def ense Technology

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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