1. Anatoly A. Alikhanov, Mohammad Shahbazi Asl, Dongfang Li. A novel explicit fast numerical scheme for the Cauchy problem for integro-differential equations with a difference kernel and its application // Computers and Mathematics with Applications, vol. 175, pp. 330–344, 2024. https://doi.org/10.1016/j.camwa.2024.10.016  (Q1 SJR)

2. Anatoly A. Alikhanov, Mohammad Shahbazi Asl, Chengming Huang, Aslan M. Apekov. Temporal second-order difference schemes for the nonlinear time-fractional mixed sub-diffusion and diffusion-wave equation with delay // Physica D: Nonlinear Phenomena, vol. 464, pp. 134194, 2024.  https://doi.org/10.1016/j.physd.2024.134194  (Q1 SJR)

3. Anatoly A. Alikhanov. Mohammad Shahbazi Asl, Chengming Huang, Aslanbek Khibiev. A second-order difference scheme for the nonlinear time-fractional diffusion-wave equation with generalized memory kernel in the presence of time delay // Journal of Computational and Applied Mathematics, vol. 438, pp. 115515, 2024. https://doi.org/10.1016/j.cam.2023.115515   (Q2 SJR)

4. A. Khibiev, A. Alikhanov, Ch. Huang. Second-Order Difference Scheme for Generalized Time-Fractional Diffusion Equation with Smooth Solutions / Computational Methods in Applied Mathematics. – 2024. – Vol. 24, No. 1. – P. 101-117. – DOI 10.1515/cmam-2022-0089   (Q2 SJR)

5. Kedia, N., Alikhanov, A.A., Singh, V.K. Robust finite difference scheme for the non-linear generalized time-fractional diffusion equation with non-smooth solution // Mathematics and Computers in Simulation, 2024, 219, страницы 337–354   (Q1 SJR)

6. Kedia, N., Alikhanov, A.A., Singh, V.K. Higher Order Computational Approach for Generalized Time-Fractional Diffusion Equation // Communications on Applied Mathematics and Computation, 2024 (Q2 SJR)

7. P.N. Vabishchevich. Splitting Schemes for Evolution Equations with a Factorized Operator // Differential Equations, 2024, Vol. 60, No. 7, pp. 868–876.  (Q2 SJR)

8. Ammosov D., Stepanov S., Tyrylgin A., Karandeev A. Bayesian decision making using partial data for fractured poroelastic media // Journal of Computational and Applied Mathematics. – 2024. – Т. 438. – С. 115538   (Q2 SJR)

9. Tyrylgin A. A., Huang J. Online Coupled Generalized Multiscale Finite Element Method for the Poroelasticity Problem in Three-Dimensional Media // Lobachevskii Journal of Mathematics. – 2023. – Т. 44. – №. 10. – С. 4183-4194.  (Q2 SJR)

10. Abdulkadirov R., Lyakhov P., Bergerman M., Reznikov D. Satellite image recognition using ensemble neural networks and difference gradient positive-negative momentum // Chaos, Solitons and Fractals. 2024. Vol. 179. p. 114432.  (Q1 SJR)

11. Nagornov N., Lyakhov P., Bergerman M. V., Kalita D. I. Modern Trends in Improving the Technical Characteristics of Devices and Systems for Digital Image Processing // IEEE Access. 2024. Vol. 12. pp. 44659-44681.  (Q1 SJR)

12. U.A. Lyakhova, P.A. Lyakhov, Systematic review of approaches to detection and classification of skin cancer using artificial intelligence: Development and prospects, Computers in Biology and Medicine, Volume 178, 2024, DOI: 10.1016/j.compbiomed.2024.108742.   (Q1 SJR)

13. Babenko M.G., Lutsenko V., Deryabin M. Construction of Akushsky Core Functions Without Critical Cores. Mathematics 2024, 12(21), 3399, DOI: 10.3390/math12213399   (Q1 SJR)

14. Babenko M.G., Rusanov M., Lapina M., Sajid M. Identification of Exploited Unreliable Account Passwords in the Information Infrastructure Using Machine Learning Methods. Big Data Cogn. Comput. 2024, 8(11), 159, DOI: 10.3390/bdcc8110159   (Q2 SJR)

15. Lyakhov PA, Lyakhova UA, Abdulkadirov RI. Non-convex optimization with using positive-negative moment estimation and its application for skin cancer recognition with a neural network. Computer Optics 2024; 48(2): 260-271. DOI: 10.18287/2412-6179-CO-1308.  (Q3 SJR)

16. Baboshina VA, Orazaev AR, Lyakhov PA, Boyarskaya EE. Neural network recognition system for video transmitted through a binary symmetric channel. Computer Optics 2024; 48(4): 582-591. DOI: 10.18287/2412-6179-CO-1388. (Q3 SJR)

17. Lyakhova U. А., Lyakhov P. А. Multimodal ensemble neural network system forskin cancer detection on heterogeneous dermatological data. Vestnik Sankt-Peterburgskogo Universiteta, Prikladnaya Matematika, Informatika, Protsessy Upravleniya, 2024, vol. 20, iss. 2, pp. 231–243. https://doi.org/10.21638/spbu10.2024.208     (Q3 SJR)

18. Vershkov N.A., Babenko M.G., Kuchukova N.N., Kuchukov V.A., Kucherov N.N. Transverse-layer partitioning of artificial neural networks for image classification // Computer Optics, 2024, 48(2), pp. 312–320, DOI: 10.18287/2412-6179-CO-1278   (Q3 SJR)

19. А.М. Apekov, I.G. Shebzukhova, L.A. Khamukova. Interphace energy of aluminum crystals at the boundary with nonpolar organic liquids // Physical and chemical aspects of the study of clusters, nanostructures and nanomaterials, 2024, vol. 16, pp. 318-326. DOI: 10.26456/pcascnn/2024.16.318   (Q4 SJR)

20. Baboshina, V.A., Lyakhov, P.A., Kaplun, D.I. (2024). Ensemble of Visual Transformer and Deep Neural Networks for Recognizing Sunflower Diseases from Photographs. In: Shivakumara, P., Mahanta, S., Singh, Y.J. (eds) Proceedings of the NIELIT's International Conference on Communication, Electronics and Digital Technology. NICEDT 2024. Lecture Notes in Networks and Systems, vol 1023. Springer, Singapore. https://doi.org/10.1007/978-981-97-3604-1_2.   (Q4 SJR)

21. Aslan Apekov, Irina Shebzukhova, Liana Khamukova. Modeling of the Correction to the Interphase Energy for the Polarization of Surface Ions at the Cesium-Nonpolar Organic Liquid Boundary. Lecture Notes in Networks and Systems, vol. 1044, pp. 643–649, 2024. https://doi.org/10.1007/978-3-031-64010-0_59   (Q4 SJR)

22. M. M. Lafisheva, L. A. Baragunova, F. M. Tseeva, L. А . Khаmukova. On Vibration of Multi-span Continuous Beam in View of Rotational Inertia. Lecture Notes in Networks and Systems, vol. 1044, pp. 80–92, 2024. https://doi.org/10.1007/978-3-031-64010-0_9   (Q4 SJR)

23. Ekaterina Bezuglova, Arina Kulikova, Mikhail Babenko. Method for Detecting and Correcting Errors in Arithmetic Operations Based on Rank of a Number. Lecture Notes in Networks and Systems, vol. 1044, pp. 105–114, 2024. https://doi.org/10.1007/978-3-031-64010-0_11  (Q4 SJR)

24. Shiriaev Egor, Bezuglova Ekaterina, Valuev Georgiy, Gladkova Natalya. Analytical Review of Orchestration Methods for Distributed Computing Systems Under Conditions of Dynamic Scaling. Lecture Notes in Networks and Systems, vol. 1044, pp. 148–156, 2024. https://doi.org/10.1007/978-3-031-64010-0_14  (Q4 SJR)

25. Viktor Berezhnoy, Anna Rudenko. Comparative Analysis of Error Correction Devices in Modular Redundant Codes. Lecture Notes in Networks and Systems, vol. 1044, pp. 167–179, 2024. https://doi.org/10.1007/978-3-031-64010-0_16  (Q4 SJR)

26. Elena O. Tarasenko, Andrey V. Gladkov, and Natalia A. Gladkova. Estimation of the Solution of a Spatial Parabolic Equation Describing Anisotropic Geological Systems. Lecture Notes in Networks and Systems, vol. 1044, pp. 180–186, 2024. https://doi.org/10.1007/978-3-031-64010-0_17   (Q4 SJR)

27. Viktor Kuchukov, Mikhail Babenko, Nikolay Kucherov, Nguyen Viet Hung. Investigation of the Rank of Numbers Represented in the Residue Number System. Lecture Notes in Networks and Systems, vol. 1044, pp. 222–241, 2024. https://doi.org/10.1007/978-3-031-64010-0_21   (Q4 SJR)

28. Elena Malinovskaya, Georgii Valuev, Anton Nazarov, Sofya Grobova, Leonid Maksimenkov. Recognition of Particle Impacts in Acoustic Fixing of Dust Flow Using an Artificial Neural Network. Lecture Notes in Networks and Systems, vol. 1044, pp. 254–261, 2024. https://doi.org/10.1007/978-3-031-64010-0_23   (Q4 SJR)

29. Natalia Gudieva, Evgeny Toroptsev. Data Analysis for Interindustry Studies. Lecture Notes in Networks and Systems, vol. 1044, pp. 366–375, 2024. https://doi.org/10.1007/978-3-031-64010-0_34   (Q4 SJR)

30. Tatyana Pavlenko, Pavel Ljahov. Study of Information Transmission in a Binary Symmetric Communication Channel Using BCH Coding. Lecture Notes in Networks and Systems, vol. 1044, pp. 422–431, 2024. https://doi.org/10.1007/978-3-031-64010-0_39    (Q4 SJR)

31. Albina Abdulsalyamova, Ruslan Abdulkadirov, Pavel Lyakhov, Nikolay Nagornov. Comparative Analysis of Fast Matrix Multiplication Methods on Different Datatypes. Lecture Notes in Networks and Systems, vol. 1044, pp. 432–438, 2024. https://doi.org/10.1007/978-3-031-64010-0_40  (Q4 SJR)

32. Irina Zhuravleva , Ludmila Andrukhiv, Irina Lavrinenko. Features of the Formation of Professional Competencies in the Field of Applied Mathematics and Informatics. Lecture Notes in Networks and Systems, vol. 1044, pp. 441–453, 2024. https://doi.org/10.1007/978-3-031-64010-0_41   (Q4 SJR)

33. Olga D. Rozhenko, Anna D. Darzhaniya, Victoria V. Bondar, Marine V. Mirzoian, Olga I. Skvortsova. The Use of the Project Method in the Formation of Students’ Research Culture. Lecture Notes in Networks and Systems, vol. 1044, pp. 454–461, 2024. https://doi.org/10.1007/978-3-031-64010-0_42   (Q4 SJR)

34. Robert G. Zakinyan , Arthur R. Zakinyan, Yuliya L. Smerek, Vladislav A. Svetlichny. On the Oscillation Frequency of Internal Gravity Waves in the Adiabatic Approximation. Lecture Notes in Networks and Systems, vol. 1044, pp. 505–513, 2024. https://doi.org/10.1007/978-3-031-64010-0_47   (Q4 SJR)

35. Babenko M.G., Lapina, M.A., Shiriaev, E.M., Istamov, I. High-Speed Convolution Core Architecture for Privacy-Preserving Neural Networks. Programming and Computer Software, 2024, 50(6), 417–424, DOI: 10.1134/S0361768824700282   (Q3 SJR)

36. Babenko M.G., Shiriaev, E.M., Lutsenko V. An Approximate Algorithm for Determining the Sign Function of a Number Using Neural Network Methods. Lecture Notes in Networks and Systems, 2024, 1207 LNNS, 247–255, DOI: 10.1007/978-3-031-77229-0_25   (Q4 SJR)

37. Babenko M.G., Vinodha, D., Jenefa, J., Anita, A.M. Theoretical Framework for Blockchain Secured Predictive Maintenance Learning Model Using Digital Twin. Lecture Notes in Networks and Systems, 2024, 863 LNNS, 55–66, DOI: 10.1007/978-3-031-72171-7_6   (Q4 SJR)