Utilization of the U-Net Convolutional Neural Network and Its Modifications for Segmentation of Tundra Lakes in Satellite Optical Images von Abramova, I. A., Demchev, D. M., Kharyutkina, E. V., Savenkova, E. N., Sudakow, I. A.

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New spin models in ecology: Super multi-stationarity and chaos von Sudakow, Ivan, Vakulenko, Sergey A.

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Robust morphogenesis by chaotic dynamics von Reinitz, J., Vakulenko, S., Sudakow, I., Grigoriev, D.

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Evolution of biological cooperation: an algorithmic approach von Sudakow, Ivan, Reinitz, John, Vakulenko, Sergey A., Grigoriev, Dima

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Excitable media store and transfer complicated information via topological defect motion von Sudakow, Ivan, Vakulenko, Sergey A., Grigoriev, Dima

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Biome stability and fragmentation under critical environmental temperature change von Sudakow, Ivan, Vakulenko, Sergey A., Pound, Matthew, Kirievskaya, Dubrava

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MeltPondNet: A Swin Transformer U-Net for Detection of Melt Ponds on Arctic Sea Ice von Sudakow, Ivan, Asari, Vijayan K., Liu, Ruixu, Demchev, Denis

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Recognizing the Shape and Size of Tundra Lakes in Synthetic Aperture Radar (SAR) Images Using Deep Learning Segmentation von Demchev, Denis, Sudakow, Ivan, Khodos, Alexander, Abramova, Irina, Lyakhov, Dmitry, Michels, Dominik

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Climatology of Synoptic Non-Gaussian Meteorological Anomalies in the Northern Hemisphere during 1979–2018 von Loginov, Sergey, Moraru, Evgeniia, Kharyutkina, Elena, Sudakow, Ivan

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Diverse soil microbial communities may mitigate climate system bifurcation von Sudakow, Ivan, Savenkova, Elena, Kondrashov, Dmitri, Vakulenko, Sergey A., Sashina, Elena

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Statistical mechanics in climate emulation: Challenges and perspectives von Sudakow, Ivan, Pokojovy, Michael, Lyakhov, Dmitry

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Mathematical modeling is an efficient research tool to address challenges in mass extinction research von Sudakow, Ivan, Myers, Corinne, Petrovskii, Sergei V., Sumrall, Colin D., Witts, James

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Water Compatible Photoarylation of Amino Acids and Peptides von Sudakow, Alex, Papke, Uli, Lindel, Thomas

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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... von Sudakow, Ivan, Myers, Corinne, Petrovskii, Sergei V., Sumrall, Colin D., Witts, James

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Slow-Fast Dynamical Systems with a Load Variation von Savenkova, Elena, Vakulenko, Sergey, Sudakow, Ivan

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Knowledge gaps and missing links in understanding mass extinctions: Can mathematical modeling help? von Sudakow, Ivan, Myers, Corinne, Petrovskii, Sergei, Sumrall, Colin D., Witts, James

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A content analysis of food advertisements appearing in parenting magazines von Manganello, Jennifer A, Clegg Smith, Katherine, Sudakow, Katie, Summers, Amber C

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Photochemical Arylation of Brønsted Acids with 2-Azidobenzimidazole von Sudakow, Alex, Jones, Peter G., Lindel, Thomas

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Chaotic waves serve as universal pattern generators von Vakulenko, Sergey A, Sudakow, Ivan, Reinitz, John, Grigoriev, Dmitry

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Melt pond from aerial photographs of the Healy–Oden Trans Arctic Expedition (HOTRAX) von Sudakow, Ivan, Asari, Vijayan, Ruixu Liu, Demchev, Denis

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