Robotics & Machine Learning Daily News2024,Issue(Apr.4) :107-108.

Research Reports from University of Bayreuth Provide New Insights into Support V ector Machines (Classification of Sand-Binder Mixtures from the Foundry Industry Using Electrical Impedance Spectroscopy and Support Vector Machines)

Robotics & Machine Learning Daily News2024,Issue(Apr.4) :107-108.

Research Reports from University of Bayreuth Provide New Insights into Support V ector Machines (Classification of Sand-Binder Mixtures from the Foundry Industry Using Electrical Impedance Spectroscopy and Support Vector Machines)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – A new study on is now available. Accor ding to news reporting from Bayreuth, Germany,by NewsRx journalists, research s tated, “Molding sand mixtures used in the foundry industry consist ofvarious sa nds (quartz sands, chromite sands, etc.) and additives such as bentonite.”Financial supporters for this research include Bundesministerium Fur Wirtschaft Und Energie.

Key words

University of Bayreuth/Bayreuth/German y/Europe/Cyborgs/Emerging Technologies/Machine Learning/Support Vector Mach ines/Vector Machines

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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