Work

[Research on in-vivo electron paramagnetic resonance spectrum classification and radiation dose prediction based on machine learning].

Year: 2024
Type: other
Abstract: EPR spectra and predict the radiation doses received by the injured. The experimental results showed that the SVM and GA-BPNN spectrum processing methods established in this study could effectively accomplish the automatic spectra classification and radiation dose prediction, and could meet the needs of dose assessment in nuclear emergency. This study explored the application of machine learning methods in EPR spectrum processing, improved the intelligence level of EPR spectrum processing, and would help to enhance the efficiency of mass EPR spectra processing.
Source: PubMed
Authors: Guangwei Xiong, Bo Chen, Lei Ma, Longpeng Jia, Shunian Chen, Ke Wu, Jing Ning, Bin Zhu, Junwang Guo
Language: English
Subfield: Food Science
Open Access status: green
OpenAlex ID: W4403850336
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