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pro vyhledávání: '"Muthumala, Uditha"'
This paper compares machine learning approaches with different input data formats for the classification of acoustic emission (AE) signals. AE signals are a promising monitoring technique in many structural health monitoring applications. Machine lea
Externí odkaz:
http://arxiv.org/abs/2411.17733
