16 citations · 48 across the 9 of their papers we have counts for
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eess.SP2025★ 2 cited
LD-RPMNet: Near-Sensor Diagnosis for Railway Point Machines
Wei Li, Xiaochun Wu, Xiaoxi Hu +3
Near-sensor diagnosis has become increasingly prevalent in industry. This study proposes a lightweight model named LD-RPMNet that integrates Transformers and Convolutional Neural N…
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…