首页|Research Results from University of South Carolina Update Understanding of Artificial Intelligence (Artificial Intelligence-Enabled Crack Length Estimation From Acoustic Emission Signal Signatures)
Research Results from University of South Carolina Update Understanding of Artificial Intelligence (Artificial Intelligence-Enabled Crack Length Estimation From Acoustic Emission Signal Signatures)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Investigators discuss new findings in artificial intelligence. According to news reportingfrom the University of South Carolina by NewsRx journalists, research stated, “This article addresses theclassification of fatigue crack length using artificial intelligence (AI) applied to acoustic emission (AE)signals. The AE signals were collected during fatigue testing of two specimen types.”
University of South CarolinaArtificial IntelligenceEmerging TechnologiesMachine Learning
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