most citedComparison of Tiny Machine Learning Techniques for Embedded Acoustic Emission Analysis

14 citations · 14 across the 1 of their papers we have counts for

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eess.SP2024★ 14 cited

Comparison of Tiny Machine Learning Techniques for Embedded Acoustic Emission Analysis

Uditha Muthumala, Yuxuan Zhang, Luciano Sebastian Martinez-Rau +1

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 te…