@misc{oai:repo.qst.go.jp:00076902,
 author = {ミロソラフ, ヤニック and Hosoda, Masahiro and Tokonami, Shinji and Janik, Miroslaw},
 month = {Sep},
 note = {Nowadays machine learning (ML) methods provides extremely important tools for intelligent environmental data analysis, processing and visualization. We describe application of ML to environmental sciences in the emphasis to radon exhalation rate., ＂19th International Conference on Solid State Dosimetry＂における発表},
 title = {Application of machine learning for derivation of correction factor for radon exhalation rate},
 year = {2019}
}