Северо-Кавказский центр математических исследований

Публикации СКЦМИ СКФУ за 2021 год

  1. Anatoly A. Alikhanov, Chengming Huang. A high-order L2 type difference scheme for the time-fractional diffusion equation // Applied Mathematics and Computation Vol. 411, 2021, 126545, DOI: 10.1016/j.amc.2021.126545 (Q1 WoS) (Q1 Scopus);
  2. Anatoly Alikhanov, Murat Beshtokov, Mani Mehra. THE CRANK-NICOLSON TYPE COMPACT DIFFERENCE SCHEMES FOR A LOADED TIME-FRACTIONAL HALLAIRE EQUATION // Fractional Calculus and Applied Analysis. Vol. 24, № 4, 2021. DOI: 10.1515/fca-2021-0053 (Q1 WoS) (Q1 Scopus);
  3. A. Alikhanov, M. Kh. Beshtokov, and M. Kh. Shkhanukov-Lafishev Local One-Dimensional Scheme for the First Initial-Boundary Value Problem for the Multidimensional Fractional-Order Convection–Diffusion Equation // Computational Mathematics and Mathematical Physics, 2021, Vol. 61, No. 7, pp. 1075–1093 DOI: 10.1134/S0965542521070022 (Q4 WoS) (Q2 Scopus);
  4. Eric T.Chung, Yalchin Efendiev, Wing TatLeung, Petr N.Vabishchevich Contrast-independent partially explicit time discretizations for multiscale flow problems // Journal of Computational Physics. Vol. 445, 2021, 110578. DOI: 10.1016/j.jcp.2021.110578 (Q1 WoS) (Q1 Scopus);
  5. Lyakhov, P., Kiladze, M., Lyakhova, U. System for Neural Network Determination of Atrial Fibrillation on ECG Signals with Wavelet-Based Preprocessing // Applied Sciences 2021, 11, 7213. DOI: 10.3390/app11167213 (Q2 WoS) (Q2 Scopus);
  6. Babenko M., Tchernykh A., Redvanov A., Djurabaev A. Comparative analysis of the scalar point multiplication algorithms in the NIST FIPS 186 elliptic curve cryptography // CEUR Workshop Proceedings, Том 2913, , Страницы 21 – 31, 2021, 3rd International Workshop on Information, Computation, and Control Systems for Distributed Environments, ICCS-DE 2021, Virtual, Irkutsk, 5 July 2021 - 9 July 2021, 170547 (URL: http://ceur-ws.org/Vol-2913/paper2.pdf) ScopusID: 2-s2.0-85111403623 (Scopus);
  7. Babenko M., Kucherov N., Tchernykh A., Kuchukov V., Golimblevskaia E., Kuchukova E., Vashchenko I. Determining the rank of a number in the residue number system // CEUR Workshop Proceedings, Том 2913, Страницы 8 – 20, 2021, 3rd International Workshop on Information, Computation, and Control Systems for Distributed Environments, ICCS-DE 2021, Virtual, Irkutsk, 5 July 2021 - 9 July 2021, 170547 (URL: http://ceur-ws.org/Vol-2913/paper1.pdf) ScopusID: 2-s2.0-85111368946 (Scopus);
  8. Kucherov N., Kuchukov V., Golimblevskaia E., Kuchukova N., Vashchenko I., Kuchukova E. Efficient implementation of error correction codes in modular code // CEUR Workshop Proceedings, Том 2913, Страницы 107 – 118, 2021, 3rd International Workshop on Information, Computation, and Control Systems for Distributed Environments, ICCS-DE 2021, Virtual, Irkutsk, 5 July 2021 - 9 July 2021, 170547 (URL: http://ceur-ws.org/Vol-2913/paper9.pdf) ScopusID: 2-s2.0-85111392360 (Scopus);
  9. Lyakhov P. A., Lyakhova U. A. Neural network classification system for pigmented skin neoplasms with preliminary hair removal in photographs // Computer Optics. – 2021. – Т. 45. – №. 5. – С. 728-735. DOI: 10.18287/2412-6179-CO-863 (WoS) (Q2 Scopus);
  10. Alikhanov A.A., Apekov A.M., Khibiev A.Kh. Higher-order approximation difference scheme for the generalized aller equation of fractional order // Vladikavkaz Mathematical Journal, 2021, (3), P. 5 – 15 DOI 10.46698/P3608-5250-8760-G (Scopus);
  11. Lyakhov P.A., Valuev G.V., Valueva M.V., Nagornov N.N. Digital Filter Architecture with Calculations in the Residue Number System by Winograd Method // IEEE Access. vol. 9. 2021. pp. 143331-143340 doi: 10.1109/ACCESS.2021.3121520 (Q2 WoS) (Q1 Scopus);
  12. Lyakhov P. A., Lyakhova U. A., Abdulkadirov R.I., Efimenko G.A., Romanov S.A. and Kaplun D.I. System for neural network recognition of malignant pigmented skin neoplasms with image pre-processing // Journal of Physics: Conference Series 2052 (2021) 012023, doi:10.1088/1742-6596/2052/1/012023 (Q4 Scopus);
  13. Tatyana V. Redkina, Robert G. Zakinyan, Arthur R. Zakinyan, and Olga V. Novikova. Bäcklund Transformations for Liouville Equations with Exponential Nonlinearity // Axioms 2021, 10(4), 337 doi:10.3390/axioms10040337 (WoS) (Q3 Scopus);
  14. M. Babenko, A. Nazarov, A. Tchernykh, B. Pulido-Gaytan, J. M. Cortés-Mendoza, I. Vashchenko Algorithm for constructing modular projections for correcting multiple errors based on a redundant residue number system using maximum likelihood decoding//Programming and Computer Software, 2021, Vol. 47, No. 8, pp. 839–848 doi.org/10.1134/S0361768821080089 (Q4 WoS) (Q3 Scopus);
  15. N. Vershkova, M. Babenko, A. Tchernykh, B. Pulido-Gaytan, J. M. Cortés-Mendoza, V. Kuchukov, N. Kuchukova Optimization of neural network training for image recognition based on trigonometric polynomial approximation//Programming and Computer Software, 2021, Vol.;
  16. Petr N.Vabishchevich. Factorized Schemes for First and Second Order Evolution Equations with Fractional Powers of Operators // Computational Methods in Applied Mathematics. 2021. doi.org/10.1515/cmam-2021-0073 (Q3 WoS) (Q1 Scopus);
  17. Дохов Р.А., Пачев У.М. О числе примитивных неассоциированных матриц третьего порядка заданного определителя // Чебышевский сборник. 2021. Том 22, № 5, с. 131-139. DOI 10.22405/2226-8383-2021-22-5-131-139 (Q3 Scopus) (R. A. Dohov, U. M. Pachev. The number of primitive unassociated third-order matrices of a given determinant // CHEBYSHEVSKI I SBORNIK 2021. Vol. 22. No. 5. Р. 131-139. DOI 10.22405/2226-8383-2021-22-5-131-139 (Q3 Scopus)).