Breitkreutz, Harald, Mayr, Josef, Bleher, Martin, Seifert, Stefan, Stöhlker, Ulrich (2023) Identification and quantification of anomalies in environmental gamma dose rate time series using artificial intelligence. Journal of Environmental Radioactivity, 259. 107082 doi:10.1016/j.jenvrad.2022.107082
| Reference Type | Journal (article/letter/editorial) | ||
|---|---|---|---|
| Title | Identification and quantification of anomalies in environmental gamma dose rate time series using artificial intelligence | ||
| Journal | Journal of Environmental Radioactivity | ||
| Authors | Breitkreutz, Harald | Author | |
| Mayr, Josef | Author | ||
| Bleher, Martin | Author | ||
| Seifert, Stefan | Author | ||
| Stöhlker, Ulrich | Author | ||
| Year | 2023 (April) | Volume | 259 |
| Publisher | Elsevier BV | ||
| DOI | doi:10.1016/j.jenvrad.2022.107082Search in ResearchGate | ||
| Generate Citation Formats | |||
| Mindat Ref. ID | 15691843 | Long-form Identifier | mindat:1:5:15691843:7 |
| GUID | 0 | ||
| Full Reference | Breitkreutz, Harald, Mayr, Josef, Bleher, Martin, Seifert, Stefan, Stöhlker, Ulrich (2023) Identification and quantification of anomalies in environmental gamma dose rate time series using artificial intelligence. Journal of Environmental Radioactivity, 259. 107082 doi:10.1016/j.jenvrad.2022.107082 | ||
| Plain Text | Breitkreutz, Harald, Mayr, Josef, Bleher, Martin, Seifert, Stefan, Stöhlker, Ulrich (2023) Identification and quantification of anomalies in environmental gamma dose rate time series using artificial intelligence. Journal of Environmental Radioactivity, 259. 107082 doi:10.1016/j.jenvrad.2022.107082 | ||
| In | (2023) Journal of Environmental Radioactivity Vol. 259. Elsevier BV | ||
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