Currently browsing: Items authored or edited by Ivan Sudakow

Sudakow, Ivan; Myers, Corinne; Petrovskii, Sergei V.; Sumrall, Colin D. and Witts, James (2023). Mathematical modeling is an efficient research tool to address challenges in mass extinction research: Reply to comments on “Knowledge gaps and missing links in understanding mass extinctions: Can mathematical modeling help?”. Physics of Life Reviews, 46 pp. 5–7.

Demchev, Denis; Sudakow, Ivan; Khodos, Alexander; Abramova, Irina; Lyakhov, Dmitry and Michels, Dominik (2023). Recognizing the Shape and Size of Tundra Lakes in Synthetic Aperture Radar (SAR) Images Using Deep Learning Segmentation. Remote Sensing, 15(5) (Early Access).

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Sudakow, Ivan; Vakulenko, Sergey A.; Pound, Matthew and Kirievskaya, Dubrava (2023). Biome stability and fragmentation under critical environmental temperature change. Applied Mathematical Modelling, 114 pp. 189–204.

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Sudakow, Ivan; Vakulenko, Sergey A. and Grigoriev, Dmitry (2023). Excitable media store and transfer complicated information via topological defect motion. Communications in Nonlinear Science and Numerical Simulation, 116, article no. 106844.

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Reinitz, J.; Vakulenko, S.; Sudakow, I. and Grigoriev, D. (2023). Robust morphogenesis by chaotic dynamics. Scientific Reports, 13(1), article no. 7482.

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Sudakow, Ivan; Myers, Corinne; Petrovskii, Sergei; Sumrall, Colin D. and Witts, James (2022). Knowledge Gaps and Missing Links in Understanding Mass Extinctions: Can Mathematical Modeling Help? Physics of Life Reviews, 41 pp. 22–57.

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Sudakow, Ivan; Asari, Vijayan K.; Liu, Ruixu and Demchev, Denis (2022). MeltPondNet: A Swin Transformer U-Net for Detection of Melt Ponds on Arctic Sea Ice. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 15 pp. 8776–8784.

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Sudakow, Ivan; Pokojovy, Michael and Lyakhov, Dmitry (2022). Statistical mechanics in climate emulation: Challenges and perspectives. Environmental Data Science, 1, article no. e16.

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