Robotics & Machine Learning Daily News2024,Issue(Apr.12) :50-50.

Findings from Wichita State University Provide New Insights into Support Vector Machines (Smart Process Mapping of Powder Bed Fusion Additively Manufactured Met allic Wicks Using Surrogate Modeling)

Robotics & Machine Learning Daily News2024,Issue(Apr.12) :50-50.

Findings from Wichita State University Provide New Insights into Support Vector Machines (Smart Process Mapping of Powder Bed Fusion Additively Manufactured Met allic Wicks Using Surrogate Modeling)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Support Vecto r Machines have been published. According tonews originating from Wichita, Kans as, by NewsRx correspondents, research stated, “Powder bed fusionis an innovati ve additive manufacturing (AM) technique to achieve metallic wick structures for efficienttwo-phase thermal management systems. However, a technical challenge lies in the lack of standard processmaps as it currently relies on an expensive trial and error approach.”

Key words

Wichita/Kansas/United States/North an d Central America/Emerging Technologies/Gaussian Processes/Machine Learning/Support Vector Machines/Vector Machines/Wichita State University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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