Zakharov K., Kovantsev A., Boukhanovsky A. Coupling of Lagrangian Mechanics and Physics-Informed Neural Networks for the Identification of Migration Dynamics. Smart Cities. 2025. Vol. 8. No. 2. pp. 42.. doi: 10.3390/smartcities8020042
Zakharov K., Kovantsev A., Boukhanovsky A. A Dynamic Model of Customers Behavior: Integrating Econophysics and Physics-Informed Neural Networks. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2025. Vol. 15903. pp. 238-252.. doi: 10.1007/978-3-031-97626-1_17
Zakharov K., Stavinova E. Time-dependent differential privacy for enhanced data protection in synthetic transaction generation. ACM International Conference Proceeding Series. 2024. pp. 112-117.. doi: 10.1145/3651781.3651798
Zakharov K. Multivariate Time Series Modelling with Neural SDE Driven by Jump Diffusion. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2024. Vol. 14834. pp. 213-221.. doi: 10.1007/978-3-031-63759-9_26
Zakharov K., Aghajanyan A., Kovantsev A., Boukhanovsky A. Forecasting Population Migration in Small Settlements Using Generative Models under Conditions of Data Scarcity. Smart Cities. 2024. Vol. 7. No. 5. pp. 2495-2513.. doi: 10.3390/smartcities7050097
Zakharov K., Stavinova E., Boukhanovsky A. Synthetic Financial Time Series Generation with Regime Clustering. Journal of Advances in Information Technology. 2023. Vol. 14. No. 6. pp. 1372-1381.. doi: 10.12720/jait.14.6.1372-1381
Zakharov K., Stavinova E., Lysenko A. TRGAN: A Time-Dependent Generative Adversarial Network for Synthetic Transactional Data Generation. ACM International Conference Proceeding Series. 2023. pp. 1-8.. doi: 10.1145/3641067.3641076