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Machine learning for pattern and waveform recognitions in terahertz image data
Several machine learning (ML) techniques were tested for the feasibility of performing automated pattern and waveform recognitions of terahertz time-domain spectroscopy datasets. Out of all the ML techniques under test, it was observed that random forest statistical algorithm works well with the THz...
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| Publicado no: | Sci Rep |
|---|---|
| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Nature Publishing Group UK
2021
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7806755/ https://ncbi.nlm.nih.gov/pubmed/33441888 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-020-80761-9 |
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