首页|Nagoya University Researcher Highlights Recent Research in Machine Learning (Eff ect of Noise on Accuracy of Grain Size Evaluation by Magnetic Barkhausen Noise A nalysis)
Nagoya University Researcher Highlights Recent Research in Machine Learning (Eff ect of Noise on Accuracy of Grain Size Evaluation by Magnetic Barkhausen Noise A nalysis)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on artificial intelligenc e is the subject of a new report. According tonews reporting out of Aichi, Japa n, by NewsRx editors, research stated, “Magnetic Barkhausen noise(MBN) is a mag netic signal caused by domain wall motion and is used for non-destructive testin g andevaluation of ferromagnetic materials because of its sensitivity to both m echanical and magnetic properties.Recently, machine learning models have been e mployed to evaluate materials based on MBN; however,the application of material evaluation to low-volume targets is challenging because of their low signal-tonoiseratio, which is due to their low volume.”
Nagoya UniversityAichiJapanAsiaC yborgsEmerging TechnologiesMachine Learning
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