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Updated: Jul 25, 2026

Expedited Radiation Biodosimetry by Automated Dicentric Chromosome Identification ADCI and Dose Estimation
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在放射性制药设施的环境剂量速率时间序列中的过程识别和区分,使用机器学习技术

Anirudh Chandra1, Shashank Saindane1, S Murali1

  • 1Radiation Safety Systems Division, Health Safety and Environment Group, Bhabha Atomic Research Centre, Mumbai, 400085, Maharashtra, India.

Applied radiation and isotopes : including data, instrumentation and methods for use in agriculture, industry and medicine
|May 29, 2023
PubMed
概括

机器学习有效地区分了真正的放射性过程与干扰核工厂的阿贡-41气体信号. 这种方法减少了环境马监测系统中的错误报警.

关键词:
K-表示集群.机器学习是机器学习.放射性药物 放射性药物 放射性药物随机的森林随机的森林时间序列分析时间序列分析.

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