首页|Researcher at Southwest Jiaotong University Publishes New Studys Findings on Machine Learning (Characterization of Fatigue Damages in Hadfield Steel Using Acoustic Emission and Machine Learning-s Based Methods)
Researcher at Southwest Jiaotong University Publishes New Studys Findings on Machine Learning (Characterization of Fatigue Damages in Hadfield Steel Using Acoustic Emission and Machine Learning-s Based Methods)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Current study results on artificial intelligence have been published. According to news reportingoriginating from Chengdu, People’s Republic of China, by NewsRx correspondents, research stated, “Structuralhealth monitoring (SHM) of fatigue cracks is essential for ensuring the safe operation of engineeringequipment.”
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