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Automated particle recognition for engine soot nanoparticles
A pre‐trained convolution neural network based on residual error functions (ResNet) was applied to the classification of soot and non‐soot carbon nanoparticles in TEM images. Two depths of ResNet, one 18 layers deep and the other 50 layers deep, were trained using training‐validation sets of increas...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
John Wiley and Sons Inc.
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9826170/ https://www.ncbi.nlm.nih.gov/pubmed/36065981 http://dx.doi.org/10.1111/jmi.13140 |