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Igor Shuryak

Showing results (1-10 of 145) with videos related to

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Plos One|January 10, 2017
Advantages of Synthetic Noise and Machine Learning for Analyzing Radioecological Data SetsIgor Shuryak
Plos One|January 8, 2016
Mechanistic Modeling of Dose and Dose Rate Dependences of Radiation-Induced DNA Double Strand Break Rejoining Kinetics in Saccharomyces cerevisiaeIgor Shuryak
Journal of Environmental Radioactivity|June 9, 2018
Modeling species richness and abundance of phytoplankton and zooplankton in radioactively contaminated water bodiesIgor Shuryak
Journal of Environmental Radioactivity|December 11, 2019
Review of resistance to chronic ionizing radiation exposure under environmental conditions in multicellular organismsIgor Shuryak
Journal of Environmental Radioactivity|November 12, 2021
Machine learning analysis of <sup>137</sup>Cs contamination of terrestrial plants after the Fukushima accident using the random forest algorithmIgor Shuryak
Journal of Radiological Protection : Official Journal of the Society for Radiological Protection|July 12, 2019
Enhancing low-dose risk assessment using mechanistic mathematical models of radiation effectsIgor Shuryak
Journal of Environmental Radioactivity|November 3, 2018
Review of microbial resistance to chronic ionizing radiation exposure under environmental conditionsIgor Shuryak
Plos One|April 26, 2017
Quantitative modeling of responses to chronic ionizing radiation exposure using targeted and non-targeted effectsIgor Shuryak
Journal of Environmental Radioactivity|May 17, 2023
Analysis of causal effects of <sup>137</sup>Cs deposition on <sup>137</sup>Cs concentrations in trees after the Fukushima accident using machine learningIgor Shuryak
Scientific Reports|May 12, 2021
Quantitative modeling of radioactive cesium concentrations in large omnivorous mammals after the Fukushima nuclear power plant accidentIgor Shuryak
Pageof 15

Showing results (1-10 of 145) with videos related to

Sort By:
Pageof 15
Plos One|January 10, 2017
Advantages of Synthetic Noise and Machine Learning for Analyzing Radioecological Data SetsIgor Shuryak
Plos One|January 8, 2016
Mechanistic Modeling of Dose and Dose Rate Dependences of Radiation-Induced DNA Double Strand Break Rejoining Kinetics in Saccharomyces cerevisiaeIgor Shuryak
Journal of Environmental Radioactivity|June 9, 2018
Modeling species richness and abundance of phytoplankton and zooplankton in radioactively contaminated water bodiesIgor Shuryak
Journal of Environmental Radioactivity|December 11, 2019
Review of resistance to chronic ionizing radiation exposure under environmental conditions in multicellular organismsIgor Shuryak
Journal of Environmental Radioactivity|November 12, 2021
Machine learning analysis of <sup>137</sup>Cs contamination of terrestrial plants after the Fukushima accident using the random forest algorithmIgor Shuryak
Journal of Radiological Protection : Official Journal of the Society for Radiological Protection|July 12, 2019
Enhancing low-dose risk assessment using mechanistic mathematical models of radiation effectsIgor Shuryak
Journal of Environmental Radioactivity|November 3, 2018
Review of microbial resistance to chronic ionizing radiation exposure under environmental conditionsIgor Shuryak
Plos One|April 26, 2017
Quantitative modeling of responses to chronic ionizing radiation exposure using targeted and non-targeted effectsIgor Shuryak
Journal of Environmental Radioactivity|May 17, 2023
Analysis of causal effects of <sup>137</sup>Cs deposition on <sup>137</sup>Cs concentrations in trees after the Fukushima accident using machine learningIgor Shuryak
Scientific Reports|May 12, 2021
Quantitative modeling of radioactive cesium concentrations in large omnivorous mammals after the Fukushima nuclear power plant accidentIgor Shuryak
Pageof 15