Pesticide detection combining the Wasserstein generative adversarial network and the residual neural network based on terahertz spectroscopy

Feature extraction is a key factor to detect pesticides using terahertz spectroscopy. Compared to traditional methods, deep learning is able to obtain better insights into complex data features at high levels of abstraction. However, reports about the application of deep learning in THz spectroscopy...

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Detalles Bibliográficos
Autores principales: Yang, Ruizhao, Li, Yun, Qin, Binyi, Zhao, Di, Gan, Yongjin, Zheng, Jincun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society of Chemistry 2022
Materias:
Chemistry
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8979129/
https://www.ncbi.nlm.nih.gov/pubmed/35425184
http://dx.doi.org/10.1039/d1ra06905e

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8979129/
https://www.ncbi.nlm.nih.gov/pubmed/35425184
http://dx.doi.org/10.1039/d1ra06905e

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