Artificial intelligence Neural networks Math modeling Modeling

1. Chistyakov, A.E., Nikitina, A.V., Kuznetsova, I.Y., Rakhimbaeva, E.O., Porksheyan, M.V., “Investigation of the Approximation Error of the Difference Scheme for the Mathematical Model of Hydrodynamics”, Lobachevskii Journal of Mathematicsthis link is disabled, 44:5 (2023), 1839-1846
2. A. I. Sukhinov, A. E. Chistyakov, V. V. Sidoryakina, I. Yu. Kuznetsova, A. M. Atayan, M. V. Porksheyan, “Parallel Algorithms for Simulation of the Suspension Transport in Coastal Systems Based on the Explicit-Implicit and Splitting Schemes”, Communications in Computer and Information Sciencethis link is disabled, 2023, 244–258
3. Sukhinov, A.I., Chistyakov, A.E., Nikitina, A.V., Atayan, A., Litvinov, V.N., Porksheyan, M.V., “CONSTRUCTION OF PARALLEL ALGORITHMS FOR MODELING HYDRODYNAMIC PROCESSES IN THE AZOV SEA BASED ON HYBRID MPI+OPENMP TECHNOLOGY | POSTROENIE PARALLELNYKh ALGORITMOV DLYa MODELIROVANIYa GIDRODINAMIChESKIKh PROTsESSOV V AZOVSKOM MORE NA OSNOVE GIBRIDNOI TEKhNOLOGII MPI+OPENMP”, Computational Continuum Mechanicsthis, 16:1 (2023), 17-35
4. Rakhimbaeva, E. , Porksheyan, M., Belova, Y., “Development of algorithms for localization of the areas depicted in the images of the Azov Sea, obtained using technical means of remote sensing, performing a comparison with the color scale and the GPS coordinate system”, E3S Web of Conferences, 363 (2022)
5. Kuznetsova, I. , Chistyakov, A. , Porksheyan, M., “Development of algorithms for assessing risks and vulnerability to anthropogenic impacts”, E3S Web of Conferences, 2022

• Don State Technical University, Rostov-on-Don