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Development of Gamma Background Radiation Digital Twin with Machine Learning Algorithms: Application of Unsupervised Machine Learning to Detection of Anomalies and Nuisances in Gamma Background Radiation Environmental Screening Data

机译：伽马背景辐射数字双胞胎与机器学习算法的开发：无监督机器学习在伽玛背景辐射环境筛选数据中检测异常和滋扰的应用

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Allen Herrera; Eugene Moore; Alexander Heifetz;
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年度 2020
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1. A Machine Learning Approach for Background Radiation Modeling and Anomaly Detection in Radiation Time Series pertained to Nuclear Security [J] . Miltiadis Alamaniotis, Alexander Heifetz Transactions of the American nuclear society . 2020,第Nova期

机译：核安全性辐射时间序列的背景辐射建模和异常检测机器学习方法
2. Radiation Metabolomics. 3. Biomarker Discovery in the Urine of Gamma-Irradiated Rats Using a Simplified Metabolomics Protocol of Gas Chromatography-Mass Spectrometry Combined with Random Forests Machine Learning Algorithm [J] . Christian Lanz, Andrew D. Patterson, Josef Slavik, Radiation Research: Official Organ of the Radiation Research Society . 2009,第2期

机译：辐射代谢组学。 3.使用简化的代谢组学方法（气相色谱-质谱联用随机森林机器学习算法），在γ射线照射的大鼠尿液中发现生物标志物
3. Machine learning‐based prediction of future breast cancer using algorithmically measured background parenchymal enhancement on high‐risk screening MRI [J] . Saha Ashirbani, Grimm Lars J., Ghate Sujata V., Journal of magnetic resonance imaging: JMRI . 2019,第2期

机译：基于机器学习的未来乳腺癌预测，使用算法测量的背景实质增强高风险筛选MRI
4. Development of Machine Learning Algorithms for Directional Gamma Ray Detection [C] . Matthew Durbin, Ryan Sheatsley, Christopher Balbier, Annual meeting of the Institute of Nuclear Materials Management . 2019

机译：定向伽马射线检测机器学习算法的开发
5. Anomaly Detection and Classification of Sparse Gamma-Ray Spectra Using Machine Learning Algorithms for Depleted Uranium Remediation [D] . Finney, Austin Matthew. 2020

机译：使用机器学习算法对耗尽铀修复机器学习算法的异常检测和分类
6. Understanding the Environmental Background of an Invasive Plant Species (Asclepias syriaca) for the Future: An Application of LUCAS Field Photographs and Machine Learning Algorithm Methods [O] . Péter Szilassi, Gábor Szatmári, László Pásztor, 2019

机译：了解未来入侵植物（Asclepias syriaca）的环境背景：LUCAS野外照片和机器学习算法的应用
7. Radiation metabolomics. 3. Biomarker discovery in the urine of gamma-irradiated rats using a simplified metabolomics protocol of gas chromatography-mass spectrometry combined with random forests machine learning algorithm [O] . Lanz, Christian, Patterson, Andrew D, Slavík, Josef, 2009

机译：辐射代谢组学。 3.使用简化的代谢组学气相色谱-质谱联用随机森林机器学习算法，在γ射线照射的大鼠尿液中发现生物标志物

Development of Gamma Background Radiation Digital Twin with Machine Learning Algorithms: Application of Unsupervised Machine Learning to Detection of Anomalies and Nuisances in Gamma Background Radiation Environmental Screening Data

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