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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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Detalles Bibliográficos
Autores principales: Bulgarevich, Dmitry S., Talara, Miezel, Tani, Masahiko, Watanabe, Makoto
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7806755/
https://www.ncbi.nlm.nih.gov/pubmed/33441888
http://dx.doi.org/10.1038/s41598-020-80761-9