Robotics & Machine Learning Daily News2024,Issue(Oct.8) :118-119.

Researchers from Southeast University Detail Findings in Machine Learning (Predi cting the Porosity of As-built Additive Manufactured Samples Based On Machine Le arning Method for Small Datasets)

Robotics & Machine Learning Daily News2024,Issue(Oct.8) :118-119.

Researchers from Southeast University Detail Findings in Machine Learning (Predi cting the Porosity of As-built Additive Manufactured Samples Based On Machine Le arning Method for Small Datasets)

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Abstract

Current study results on Machine Learn ing have been published. According to news reporting from Nanjing, People's Repu blic of China, by NewsRx journalists, research stated, "With the widespread appl ication of ML in studying PSP relationships within the realm of AM, the accuracy of data becomes paramount for the performance of ML models on small datasets. I n this study, the DBSCAN algorithm was utilized to identify and eliminate noise points from the porosity dataset of IN718 as-built parts, which were fabricated by QCW laser DMD." Funders for this research include Strengthening Program Projects, Graduate resea rch and innovation pro-jects in Jiangsu Province, Pro-gram to Cultivate Middle-a ged and Young Science Leaders of Colleges and Universities of Jiangsu Province, China.

Key words

Nanjing/People's Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learning/Southeast University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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