Dr Ivan Sudakow

New spin models in ecology: Super multi-stationarity and chaos (2024-07)
Sudakow, Ivan and Vakulenko, Sergey A.
Chaos, Solitons & Fractals, 184, Article 114996

Utilization of the U-Net Convolutional Neural Network and Its Modifications for Segmentation of Tundra Lakes in Satellite Optical Images (2024-04)
Abramova, I. A.; Demchev, D. M.; Kharyutkina, E. V.; Savenkova, E. N. and Sudakow, I. A.
Atmospheric and Oceanic Optics, 37(2) (pp. 205-210)

Evolution of biological cooperation: an algorithmic approach (2024)
Sudakow, Ivan; Reinitz, John; Vakulenko, Sergey A. and Grigoriev, Dima
Scientific Reports, 14, Article 1468

Climatology of Synoptic Non-Gaussian Meteorological Anomalies in the Northern Hemisphere during 1979–2018 (2024)
Loginov, Sergey; Moraru, Evgeniia; Kharyutkina, Elena and Sudakow, Ivan
Climate, 12, Article 8(1)

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?” (2023-09)
Sudakow, Ivan; Myers, Corinne; Petrovskii, Sergei V.; Sumrall, Colin D. and Witts, James
Physics of Life Reviews, 46 (pp. 5-7)

Recognizing the Shape and Size of Tundra Lakes in Synthetic Aperture Radar (SAR) Images Using Deep Learning Segmentation (2023-03-01)
Demchev, Denis; Sudakow, Ivan; Khodos, Alexander; Abramova, Irina; Lyakhov, Dmitry and Michels, Dominik
Remote Sensing, 15, Article 1298(5)

Biome stability and fragmentation under critical environmental temperature change (2023-02)
Sudakow, Ivan; Vakulenko, Sergey A.; Pound, Matthew and Kirievskaya, Dubrava
Applied Mathematical Modelling, 114 (pp. 189-204)

Excitable media store and transfer complicated information via topological defect motion (2023-01)
Sudakow, Ivan; Vakulenko, Sergey A. and Grigoriev, Dmitry
Communications in Nonlinear Science and Numerical Simulation, 116, Article 106844

Robust morphogenesis by chaotic dynamics (2023)
Reinitz, J.; Vakulenko, S.; Sudakow, I. and Grigoriev, D.
Scientific Reports, 13, Article 7482(1)

Knowledge Gaps and Missing Links in Understanding Mass Extinctions: Can Mathematical Modeling Help? (2022-05-03)
Sudakow, Ivan; Myers, Corinne; Petrovskii, Sergei; Sumrall, Colin D. and Witts, James
Physics of Life Reviews, 41 (pp. 22-57)

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

Statistical mechanics in climate emulation: Challenges and perspectives (2022)
Sudakow, Ivan; Pokojovy, Michael and Lyakhov, Dmitry
Environmental Data Science, 1, Article e16

Diffusion model-based generation of sea ice data (2024-06-07)
Sultana, Aqsa; Abouzahra, Shaik N.; Asari, Vijayan K.; Aspiras, Theus H.; Liu, Ruixu; Sudakow, Ivan; Cooper, Lee W.; Agaian, Sos S.; DelMarco, Stephen P. and Asari, Vijayan K.
In : Multimodal Image Exploitation and Learning 2024 (21-26 Apr 2024, National Harbor, Maryland, USA) (p 12)

NABLA-N for meltpond detection (2024-06-07)
Sultana, Aqsa; Asari, Vijayan K.; Aspiras, Theus; Liu, Ruixu; Sudakow, Ivan and Cooper, Lee W.
In : SPIE DEFENSE + COMMERCIAL SENSING (21-26 Apr 2024, National Harbor, Maryland, United States)

Slow-Fast Dynamical Systems with a Load Variation (2024)
Savenkova, Elena; Vakulenko, Sergey and Sudakow, Ivan
In : 12th IC-MSQUARE (28-31 Aug 2023, Belgrade, Serbia) (pp. 255-265)

Chapter 1.2: Tipping points in the cryosphere (2023-12-06)
Winkelmann, R.; Steinert, N. J.; Armstrong McKay, D. I.; Brovkin, V.; Kääb, A.; Notz, D.; Aksenov, Y.; Arndt, S.; Bathiany, S.; Burke, E.; Garbe, J.; Gasson, E.; Goelzer, H.; Hugelius, G.; Kristin Klose, A.; Langebroek, P; Marzeion, B.; Maussion, F.; Nitzbon, J.; Robinson, A.; Rynders, S. and Sudakow, I.
University of Exeter, Exeter, UK.