首页|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)
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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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.
NanjingPeople's Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningSoutheast University
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