Machine learning in environmental radon science-Reference-Cited by-同舟云学术

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Machine learning in environmental radon science

Published:2023-04 Issue: Volume:194 Page:110684
ISSN:0969-8043
Container-title:Applied Radiation and Isotopes
language:en
Short-container-title:Applied Radiation and Isotopes

Author:

Elío Javier,Petermann Eric,Bossew Peter,Janik Miroslaw^ORCID

Publisher

Elsevier BV

Subject

Radiation

Reference76 articles.

1. Assessment of radon risk areas in the Eastern Canary Islands using soil radon gas concentration and gas permeability of soils;Alonso;Sci. Total Environ.,2019

2. The Box-Jenkins approach to time series analysis;Anderson;RAIRO-Operations Res.,1977

3. Earthquake prediction model using support vector regressor and hybrid neural networks;Asim;PLoS One,2018

4. Radiation hormesis: historical and current perspectives;Baldwin;J. Nucl. Med. Technol.,2015

Cited by 8 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Systematic review of statistical methods for the identification of buildings and areas with high radon levels;Frontiers in Public Health;2024-09-11

2. On the informative value of community‐based indoor radon values in relation to lung cancer;Cancer Medicine;2024-08

3. Assessing environmental influences on radon levels: analysis of independent variables;Mathematical Models in Engineering;2024-06-30

4. Exploring statistical and machine learning techniques to identify factors influencing indoor radon concentration;Science of The Total Environment;2023-12

5. Applying machine learning to model radon using topsoil geochemistry;Applied Geochemistry;2023-11

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