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Deep Learning Approach to Impact Classification in Sensorized Panels Using Self-Attention
This paper proposes a new method of impact classification for a Structural Health Monitoring system through the use of Self-Attention, the central building block of the Transformer neural network. As a topical and highly promising neural network architecture, the Transformer has the potential to gre...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9228771/ https://www.ncbi.nlm.nih.gov/pubmed/35746152 http://dx.doi.org/10.3390/s22124370 |