{"title":"LSNet:高效核素谱识别网络","authors":"Pengzhang Yu, Yingrui Hu, Xu Wang, Ying Cai, Daji Ergu, Yong Xu, Shengbo Tan","doi":"10.1007/s10967-025-10032-2","DOIUrl":null,"url":null,"abstract":"<div><p>To address the interference from non-radioactive components in the environment and achieve efficient identification of mixed nuclide spectra, we propose a novel isotope identification method, LSNet. Experimental results demonstrate that, with comparable parameter counts and computational complexity, LSNet outperforms models such as the Gate-Recurrent-Unit (GRU) across various evaluation metrics. Additionally, LSNet shows significantly higher accuracy in identifying anomalous nuclide spectra compared to other models. Finally, we demonstrate that LSNet effectively identifies mixed nuclides.</p></div>","PeriodicalId":661,"journal":{"name":"Journal of Radioanalytical and Nuclear Chemistry","volume":"334 4","pages":"2703 - 2714"},"PeriodicalIF":1.5000,"publicationDate":"2025-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"LSNet: efficient nuclide spectrum recognition network\",\"authors\":\"Pengzhang Yu, Yingrui Hu, Xu Wang, Ying Cai, Daji Ergu, Yong Xu, Shengbo Tan\",\"doi\":\"10.1007/s10967-025-10032-2\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>To address the interference from non-radioactive components in the environment and achieve efficient identification of mixed nuclide spectra, we propose a novel isotope identification method, LSNet. Experimental results demonstrate that, with comparable parameter counts and computational complexity, LSNet outperforms models such as the Gate-Recurrent-Unit (GRU) across various evaluation metrics. Additionally, LSNet shows significantly higher accuracy in identifying anomalous nuclide spectra compared to other models. Finally, we demonstrate that LSNet effectively identifies mixed nuclides.</p></div>\",\"PeriodicalId\":661,\"journal\":{\"name\":\"Journal of Radioanalytical and Nuclear Chemistry\",\"volume\":\"334 4\",\"pages\":\"2703 - 2714\"},\"PeriodicalIF\":1.5000,\"publicationDate\":\"2025-03-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Radioanalytical and Nuclear Chemistry\",\"FirstCategoryId\":\"92\",\"ListUrlMain\":\"https://link.springer.com/article/10.1007/s10967-025-10032-2\",\"RegionNum\":3,\"RegionCategory\":\"化学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"CHEMISTRY, ANALYTICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Radioanalytical and Nuclear Chemistry","FirstCategoryId":"92","ListUrlMain":"https://link.springer.com/article/10.1007/s10967-025-10032-2","RegionNum":3,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"CHEMISTRY, ANALYTICAL","Score":null,"Total":0}
To address the interference from non-radioactive components in the environment and achieve efficient identification of mixed nuclide spectra, we propose a novel isotope identification method, LSNet. Experimental results demonstrate that, with comparable parameter counts and computational complexity, LSNet outperforms models such as the Gate-Recurrent-Unit (GRU) across various evaluation metrics. Additionally, LSNet shows significantly higher accuracy in identifying anomalous nuclide spectra compared to other models. Finally, we demonstrate that LSNet effectively identifies mixed nuclides.
期刊介绍:
An international periodical publishing original papers, letters, review papers and short communications on nuclear chemistry. The subjects covered include: Nuclear chemistry, Radiochemistry, Radiation chemistry, Radiobiological chemistry, Environmental radiochemistry, Production and control of radioisotopes and labelled compounds, Nuclear power plant chemistry, Nuclear fuel chemistry, Radioanalytical chemistry, Radiation detection and measurement, Nuclear instrumentation and automation, etc.