Machine learning analysis of 137Cs contamination of terrestrial plants after the Fukushima accident using the random forest algorithm

Shuryak, I. (2022). Machine learning analysis of 137Cs contamination of terrestrial plants after the Fukushima accident using the random forest algorithm. Journal of Environmental Radioactivity, 241, 106772. https://doi.org/10.1016/j.jenvrad.2021.106772
Authors:
Igor Shuryak
Affiliated Authors:
Igor Shuryak
Columbia Affiliation:
Subjects:
Fukushima Nuclear Accident (MeSH)
Radiation Monitoring (MeSH)
Soil Pollutants, Radioactive (MeSH)
Author Keywords:
radioactive contamination
cs-137
radionuclides
plants
trees
modeling
machine learning
random forests
(137)cs
<sup>137</sup>cs
elink
Publication Type:
Article
Unique ID:
10.1016/j.jenvrad.2021.106772
PMID:
34768117
DOI:
10.1016/j.jenvrad.2021.106772
Journal:
Journal of Environmental Radioactivity
Publication Date:
Data Source:
Scopus
Source Link:
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Record Created: