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Bibliography

GA24-10400S

  1. Evangeliou N., Tichý Ondřej, Otervik M. S., Eckhardt S., Balkanski Y., Hauglustaine D. :  Unchanged PM2.5 levels over Europe during COVID-19 were buffered by ammonia , Aerosol Research vol.3, 1 (2025), p. 155-174 [2025] Download Download DOI: 10.5194/ar-3-155-2025
  2. Tichý Ondřej, Evangeliou N., Selivanova A., Šmídl Václav :  Inverse modeling of 137Cs during Chernobyl 2020 wildfires without the first guess , Atmospheric Pollution Research vol.16, art. 102419 [2025] Download Download DOI: 10.1016/j.apr.2025.102419
  3. Brožová Antonie, Šmídl Václav, Tichý Ondřej, Evangeliou N. :  Spatial-temporal source term estimation using deep neural network prior and its application to Chernobyl wildfires , Journal of Hazardous Materials vol.448, art. 137510 [2025] Download Download DOI: 10.1016/j.jhazmat.2025.137510

  1. Šmídl Václav, Brožová Antonie, Tichý Ondřej, Evangeliou N. :  Estimation of Spatial-temporal Source Term of Chernobyl Wildfires using Deep Neural Network Prior , EGU General Assembly 2025, EGU General Assembly 2025, (Vienna, AT, 20250427) [2025] Download DOI: 10.5194/egusphere-egu25-11939
  2. Tichý Ondřej, Košík Václav, Šmídl Václav, Evangeliou N. :  Atmospheric microplastics emissions estimation and uncertainty quantification using Gibbs sampler , EGU General Assembly 2025, EGU General Assembly 2025, (Vienna, AT, 20250427) [2025] Download DOI: 10.5194/egusphere-egu25-11924
  3. Evangeliou N., Tichý Ondřej, Otervik M. S., Eckhardt S., Balkanski Y., Hauglustaine D. :  PM2.5 levels over Europe during the first COVID19 lockdowns were controlled by NH3 , Abstract Book of European Aerosol Conference 2024 (EAC 2024), The European Aerosol Conference 2024, (Tampere, FI, 20240825) [2024] Download
  4. Brožová Antonie, Šmídl Václav, Tichý Ondřej :  Bayesian methods in neural networks for inverse atmospheric modelling , Stochastic and Physical Monitoring Systems 2024, Stochastic and Physical Monitoring Systems 2024 (SPMS 2024) /15./, (Dobřichovice, CZ, 20240620) [2024] Download Download
  5. Brožová Antonie, Šmídl Václav, Tichý Ondřej, Evangeliou N. :  Estimation of spatio-temporal source of microplastics using Bayesian Neural networks , EGU General Assembly 2024 art. EGU24-5960 , EGU General Assembly 2024, (Vienna, AT, 20240414) [2024] Download DOI: 10.5194/egusphere-egu24-5960
  6. Tichý Ondřej, Šmídl Václav, Mácha Václav, Kuśmierczyk-Michulec J., Sommerer W., Tipka A. :  Estimation of unknown source term based on radioxenon observations with the presence of background signal , EGU General Assembly 2024 Abstracts art. EGU24-3075 , EGU General Assembly 2024, (Vienna / Online, AT, 20240414) [2024] Download DOI: 10.5194/egusphere-egu24-3075
  7. Brožová Antonie, Šmídl Václav :  Avoiding Undesirable Solutions of Deep Blind Image Deconvolution , Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2024), p. 559-566 , Eds: Radeva Petia, Furnari Antonino, Bouatouch Kadi, Sousa A. Augusto, International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2024) /19./, (Roma, IT, 20240227) [2024] Download Download DOI: 10.5220/0012397600003660