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Quantitative Benchmarking of Acoustic Emission Machine Learning Frameworks for Damage Mechanism Identification

C. Muir, N. Tulshibagwale, Andreas Fürst, B. Swaminathan, Amjad S. Almansour, K. Sevener, Michael J. Presby, James D. Kiser, Tresa M. Pollock, Samantha Daly, C. Smith

2023Integrating materials and manufacturing innovation13 citationsDOIOpen Access PDF

Topics & Concepts

BenchmarkingGround truthAcoustic emissionComputer scienceMechanism (biology)Identification (biology)Set (abstract data type)SIGNAL (programming language)Artificial intelligenceVariety (cybernetics)Ensemble learningMachine learningPattern recognition (psychology)AcousticsPhysicsBiologyBotanyQuantum mechanicsProgramming languageMarketingBusinessUltrasonics and Acoustic Wave PropagationNon-Destructive Testing TechniquesStructural Health Monitoring Techniques
Quantitative Benchmarking of Acoustic Emission Machine Learning Frameworks for Damage Mechanism Identification | Litcius