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Cited article:

Source term inversion of nuclear accidents based on ISAO-SAELM model

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Nuclear Engineering and Technology 56 (9) 3914 (2024)
https://doi.org/10.1016/j.net.2024.04.038

Source term inversion of short-lived nuclides in complex nuclear accidents based on machine learning using off-site gamma dose rate

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Journal of Hazardous Materials 465 133388 (2024)
https://doi.org/10.1016/j.jhazmat.2023.133388

Applications of Machine Learning to Consequence Analysis of Hypothetical Accidents at Barakah Nuclear Power Plant Unit 1

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Energies 15 (16) 6048 (2022)
https://doi.org/10.3390/en15166048

Determination of radiological background fields designated for inverse modelling during atypical low wind speed meteorological episode

Petr Pecha, Ondřej Tichý and Emilie Pechová
Atmospheric Environment 246 118105 (2021)
https://doi.org/10.1016/j.atmosenv.2020.118105

Source term estimation of multi‐specie atmospheric release of radiation from gamma dose rates

Ondřej Tichý, Václav Šmídl, Radek Hofman and Nikolaos Evangeliou
Quarterly Journal of the Royal Meteorological Society 144 (717) 2781 (2018)
https://doi.org/10.1002/qj.3403