1. Anatoly A., Alikhanov, Mohammad Shahbazi Asl, Chengming Huang. Stability analysis of a second-order difference scheme for the time-fractional mixed sub-diffusion and diffusion-wave equation. Fractional Calculus and Applied Analysis (2023): 1-22, DOI: 10.1007/s13540-023-00229-1   (Q1 SJR)

2. Alikhanov A., Tyrylgin A., Vasilyeva M., Sheen D. A computational macroscale model for the time fractional poroelasticity problem in fractured and heterogeneous media. Journal of Computational and Applied Mathematics. 2023. Volume 418. 114670, DOI: 10.1016/j.cam.2022.114670   (Q1 SJR)

3. Aslanbek Khibiev, Anatoly Alikhanov, Chengming Huang. A Second-Order Difference Scheme for Generalized Time-Fractional Diffusion Equation with Smooth Solutions. Computational Methods in Applied Mathematics. 2023, DOI: 10.1515/cmam-2022-0089   (Q2 SJR)

4. Vabishchevich P.N. Approximate solution of the Cauchy problem for a first-order integrodifferential equation with solution derivative memory. Journal of Computational and Applied Mathematics. 2023. Volume 422. 114887, DOI: 10.1016/j.cam.2022.114887   (Q1 SJR)

5. Vabishchevich P.N. Efendiev Y., Leung W.T., Li W., Pun S.M. Nonlocal transport equations in multiscale media. Modeling, dememorization, and discretizations. Journal of Computational Physics. 2023. Volume 472. 111555, DOI: 10.1016/j.jcp.2022.111555   (Q1 SJR)

6. Vabishchevich P.N. Nonlinear approximation of functions based on nonnegative least squares solver. Numerical Linear Algebra with Applications, 2023, e2522, DOI: 10.1002/nla.2522   (Q1 SJR)

7. Vabishchevich P.N. Exponent Splitting Schemes for Evolution Equations with Fractional Powers of Operators. International Journal of Numerical Analysis and Modeling. 2023. Volume 20. Number 3. Pages 371-390, DOI: 10.4208/ijnam2023-1015   (Q2 SJR)

8. Vabishchevich P.N. On Stability of an Approximate Solution of the Cauchy Problem for Some First-Order Integrodifferential Equations. Computational Mathematics and Mathematical Physics 2023. Vol. 63, №2, P. 328–335, DOI: 10.1134/S0965542523020124   (Q3 SJR)

9. Dmitry A. Ammosov, Aleksandr V. Grigorev, Sergei P. Stepanov, Aleksei A. Tyrylgin. Partial learning using partially explicit discretization for multicontinuum / multiscale problems. Fractured poroelastic media simulation. Journal of Computational and Applied Mathematics. 2023. Volume 424. 115003, DOI: 10.1016/j.cam.2022.115003   (Q1 SJR)

10. D.A. Ammosov, S.P. Stepanov, Aleksei A. Tyrylgin, N.V., Malysheva, L.S. Zamorshchikova. Partial learning using partially explicit discretization for multicontinuum/multiscale problems with limited observation: Language interactions simulation. Journal of Computational and Applied Mathematics. 2023. Volume 425. 115034, DOI: 10.1016/j.cam.2022.115034   (Q1 SJR)

11. Lyakhov P. Area-Efficient digital filtering based on truncated multiply-accumulate units in residue number system 2n – 1, 2n, 2n + 1. Journal of King Saud University – Computer and Information Sciences 2023, 35, 101574, DOI: 10.1016/j.jksuci.2023.101574   (Q1 SJR)

12. Kiladze M., Lyakhova U.A., Lyakhov P., Nagornov N., Vahabi M. Multimodal Neural Network for Recognition of Cardiac Arrhythmias Based on 12-load Electrocardiogram Signals. IEEE Access. 2023. Vol. 11. pp. 133744-133754, DOI: 10.1109/ACCESS.2023.3335176   (Q1 SJR)

13. Lyakhov P., Lyakhova U. A., Kalita D. I. Multimodal Analysis of Unbalanced Dermatological Data for Skin Cancer Recognition. IEEE Access. 2023. Vol. 11. pp. 131487-131507, DOI: 10.1109/ACCESS.2023.3336289   (Q1 SJR)

14. Lyakhov P. A., Bergerman M., Abdulkadirov R., Abdulsalyamova A.S., Nagornov N. N., Voznesensky А., Minenkov D., Kaplun D. A novel sign detection method in residue number system based on Chinese remainder theorem with fractional values. Microprocessors and Microsystems, 2023, V. 102, 104940, DOI: 10.1016/j.micpro.2023.104940   (Q2 SJR)

15. Shiriaev E., Kucherov N., Babenko M., Lutsenko V., Al-Galda S. Algorithm for Determining the Optimal Weights for the Akushsky Core Function with an Approximate Rank. Applied Sciences 2023, 13(18), 10495, DOI: 10.3390/app131810495   (Q2 SJR)

16. Mohsen Vahabi, Ehsan Rahimi, Pavel Lyakhov, Akira Otsuki. A novel QCA circuit-switched network with power dissipation analysis for nano communication applications. Nano Communication Networks. 2023. Volume 35. 100438, DOI: 10.1016/j.nancom.2023.100438   (Q2 SJR)

17. Lyakhov P.A., Nagornov N.N., Semyonova N.F., Abdulsalyamova A.S. Development of digital image processing algorithms based on the Winograd method in general form and analysis of their computational complexity. Computer Optics. - 2023. - 47 (1), pp. 68-78, DOI: 10.18287/2412-6179-CO-1146   (Q2 SJR)

18. Abdulkadirov R.I., Lyakhov P.A. A new approach to training neural networks using natural gradient descent with momentum based on Dirichlet distributions. Computer Optics 2023; 47(1): 160-169, DOI: 10.18287/2412-6179-CO-1147   (Q2 SJR)

19. Lyakhov PA, Orazaev AR. New method for detecting and removing random-valued impulse noise from images. Computer Optics 2023; 47(2): 262-271, DOI: 10.18287/2412-6179-CO-1145   (Q2 SJR)

20. Orazaev A., Lyakhov P., Baboshina V., Kalita D. Neural Network System for Recognizing Images Affected by Random-Valued Impulse Noise. Applied Sciences, Vol. 13, 1585, DOI: 10.3390/app13031585   (Q2 SJR)

21. Abdulkadirov R., Lyakhov P. Nagornov N. Survey of Optimization Algorithms in Modern Neural Networks. Mathematics 2023, 11, 2466, DOI 10.3390/math11112466   (Q1 SJR)

22. Valuev G., Valueva M., Babenko M., Tchernykh A. Digital Filter Architecture Based on Modified Winograd Method F(2×2,5×5) and Residue Number System. IEEE Access, 2023, Vol. 11, p. 26807-26819, DOI: 10.1109/ACCESS.2023.3258689   (Q1 SJR)

23. Vahabi M., Rahimi E., Lyakhov P., Bahar A.N., Wahid K.A., Otsuki A. Novel Quantum-Dot Cellular Automata-Based Gate Designs for Efficient Reversible Computing. Sustainability 2023, 15, 2265, DOI: 10.3390/su15032265   (Q2 SJR)

24. Babenko M., Golimblevskaia E., Tchernykh A., Valuev G., Shiriaev E., Ermakova T., Pulido-Gaytan L.B., Avetisyan A., Gagloeva L.A. A Comparative Study of Secure Outsourced Matrix Multiplication Based on Homomorphic Encryption. Big Data and Cognitive Computing. 2023, 7, 84, DOI: 10.3390/bdcc7020084   (Q2 SJR)

25. Gladkov A., Shiriaev E., Tchernykh A., Deryabin M., Babenko M., Nesmachnow S. DT-RRNS: Routing Protocol Design for Secure and Reliable Distributed Smart Sensors Communication Systems. Sensors 2023, 23, 3738, DOI: 10.3390/s23073738   (Q2 SJR)

26. Lyakhov P. A., Nagornov N.N., Semyonova N. F., Abdulsalyamova A. S. Reducing the Computational Complexity of Image Processing Using Wavelet Transform Based on the Winograd Method. Pattern Recognition and Image Analysis 2023. Vol. 33. No. 2. P. 185-192, DOI: 10.1134/S1054661823020074   (Q3 SJR)

27. Redkina T.V., Zakinyan A.R., Zakinyan R.G., Surneva O.B. Hierarchies of the Korteweg–de Vries Equation Related to Complex Expansion and Perturbation. Axioms 2023, Vol. 12, №4, 371, DOI: 10.3390/axioms12040371   (Q3 SJR)

28. Redkina T.V., Zakinyan A.R., Zakinyan R.G. The Zakharov–Shabat Spectral Problem for Complexification and Perturbation of the Korteweg–de Vries Equation. Axioms 2023, V. 12, № 7, 703, DOI: 10.3390/axioms12070703   (Q3 SJR)

29. Grigoriev V.V. Identification of homogeneous–heterogeneous pore–scale reaction rates in porous media. Mathematical Notes of NEFU, 2023, V.30, I. 2, P. 101-122, DOI: 10.25587/SVFU.2023.74.45.008   (Q4 SJR)

30. Afanasyev I.S., Khintuba L.V., Ekba Y.A., Zakinyan R.G. Investigation of the cyclicity and trend of the surface air temperature according to the weather station Mayak of Sukhum. Russian Journal of Earth Sciences, 2023, Vol. 23, ES0204, DOI: 10.2205/2023ES02SI04   (Q3 SJR)

31. Aslan Apekov, Liana Khamukova. Modeling of the Potential Dependence on the Permittivity at the Metal – Dielectric Medium Interface. Lecture Notes in Networks and Systems, vol 702, pp 3–14, 2023, DOI: 10.1007/978-3-031-34127-4_1   (Q4 SJR)

32. Aslan Apekov, Irina Shebzukhova, Liana Khamukova, Zaur Kokov. Modeling of Temperature Contribution to the Interphase Energy of the Faces of Cadmium Crystals at the Boundary with Organic Liquids. Lecture Notes in Networks and Systems, vol 702, pp 179–186, 2023, DOI: 10.1007/978-3-031-34127-4_18   (Q4 SJR)

33. Zaryana Beshtokova. Difference Method for Solving the Dirichlet Problem for a Multidimensional Integro-Differential Equation of Convection-Diffusion. Lecture Notes in Networks and Systems, vol 702, pp 15–25, 2023, DOI: 10.1007/978-3-031-34127-4_2   (Q4 SJR)

34. Yartseva L., Andruhiv R., Abdulkadirov E. The Problem of Restoring the Unit of Approximation in the Model for Studying Functional Dependence from Approximate Data. Lecture Notes in Networks and Systems, vol 702, pp 26–35, 2023, DOI: 10.1007/978-3-031-34127-4_3   (Q4 SJR)

35. Kh.P. Kulterbaev, M.M. Lafisheva, L.A. Baragunova. Determining Frequencies of Free Longitudinal Vibrations of Rods by Analytical and Numerical Methods. Lecture Notes in Networks and Systems, vol 702, pp 131–136, 2023, DOI: 10.1007/978-3-031-34127-4_13   (Q4 SJR)

36. Kh.P. Kulterbaev, M.M. Lafisheva, L.A. Baragunova. Forced Longitudinal Oscillations of a Rod with a Mass at the End. Lecture Notes in Networks and Systems, vol 702, pp 137–145, 2023, DOI: 10.1007/978-3-031-34127-4_14   (Q4 SJR)

37. Urusbi Pachev, Rezuan Dokhov. On the Unassociated Matrices Number of the n Order and a Given Determinant. Lecture Notes in Networks and Systems, vol 702, pp 146–156, 2023, DOI: 10.1007/978-3-031-34127-4_15   (Q4 SJR)

38. Nikolay Vershkov, Mikhail Babenko, Viktor Kuchukov, Nataliya Kuchukova, Nikolay Kucherov. Analysis of Neural Networks for Image Classification. Lecture Notes in Networks and Systems, vol 702, pp 258–269, 2023, DOI: 10.1007/978-3-031-34127-4_25   (Q4 SJR)

39. Vladislav Lutsenko, Mikhail Babenko. Comparative Analysis of Methods and Algorithms for Building a Digital Twin of a Smart City. Lecture Notes in Networks and Systems, vol 702, pp 277–287, 2023, DOI: 10.1007/978-3-031-34127-4_27   (Q4 SJR)

40. Egor Shiriaev, Viktor Kuchukov, Nikolay Kucherov. Modification of the Projection Method to Correct Errors in RNS. Lecture Notes in Networks and Systems, vol 702, pp 288–299, 2023, DOI: 10.1007/978-3-031-34127-4_28   (Q4 SJR)

41. Ekaterina Bezuglova, Nikolay Kucherov. An Overview of Modern Fully Homomorphic Encryption Schemes. Lecture Notes in Networks and Systems, vol 702, pp 300–311, 2023, DOI: 10.1007/978-3-031-34127-4_29   (Q4 SJR)

42. Egor Shiriaev, Viktor Kuchukov. Model of Error Correction Device in RNS-FRNN. Lecture Notes in Networks and Systems, vol 702, pp 312–320, 2023, DOI: 10.1007/978-3-031-34127-4_30   (Q4 SJR)

43. Ekaterina Bezuglova, Andrey Gladkov, Georgy Valuev. Review of Modern Technologies of Computer Vision. Lecture Notes in Networks and Systems, vol 702, pp 321–331, 2023, DOI: 10.1007/978-3-031-34127-4_31   (Q4 SJR)

44. Aleksey V. Shaposhnikov, Andrey S. Ionisyan, Anzor R. Orazaev, Discrete Neural Network of Bidirectional Associative Memory. Lecture Notes in Networks and Systems, vol 702, pp 335–342, 2023, DOI: 10.1007/978-3-031-34127-4_32   (Q4 SJR)

45. Maxim Bergerman, Pavel Lyakhov, Albina Abdulsalyamova. Modulo 2k + 1 Truncated Multiply-Accumulate Unit. Lecture Notes in Networks and Systems, vol 702, pp 343–352, 2023, DOI: 10.1007/978-3-031-34127-4_33   (Q4 SJR)

46. N.N. Nagornov, N.F. Semyonova, A.S. Abdulsalyamova. High-Speed Wavelet Image Processing Using the Winograd Method. Lecture Notes in Networks and Systems, vol 702, pp 373–380, 2023, DOI: 10.1007/978-3-031-34127-4_36   (Q4 SJR)

47. Pavel Lyakhov. Improving the Parallelism and Balance of RNS with Low-Cost and 2k + 1 Modules. Lecture Notes in Networks and Systems, vol 702, pp 381–390, 2023, DOI: 10.1007/978-3-031-34127-4_37   (Q4 SJR)

48. Anzor R. Orazaev. Uncoded Video Data Stream Denoising in a Binary Symmetric Channel. Lecture Notes in Networks and Systems, vol 702, pp 391–400, 2023, DOI: 10.1007/978-3-031-34127-4_38    (Q4 SJR)

49. Irina Lavrinenko, Natalia Semenova, Valentina Baboshina. Interactive Methods in the Study of the Discipline “Mathematics” for Non-mathematical Specialties. Lecture Notes in Networks and Systems, vol 702, pp 489–499, 2023, DOI: 10.1007/978-3-031-34127-4_47   (Q4 SJR)

50. Irina Zhuravleva, Ludmila Andrukhiv, Elena Yartseva., Valentina Baboshina. Applied Mathematics and Informatics Bachelor’s and Master’s Educational Programs Continuity During Updating Educational Standards. Lecture Notes in Networks and Systems, vol 702, pp 500–508, 2023, DOI: 10.1007/978-3-031-34127-4_48   (Q4 SJR)