Hvatov A., Maslyaev M. The data-driven physical-based equations discovery using evolutionary approach. GECCO 2020 - Proceedings of the Genetic and Evolutionary Computation Conference Companion. 2020. pp. 129–130.
Maslyaev M., Hvatov A., Kalyuzhnaya A. Data-Driven Partial Differential Equations Discovery Approach for the Noised Multi-dimensional Data. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2020. Vol. 12138 LNCS. pp. 86-100.
Hvatov A., Sorokin S.V. Analysis of periodicity-induced attenuation effect in a nonlinear waveguide by means of the method of polynomial system resultants. Mechanics Research Communications. 2020. Vol. 103. pp. 103476.
Kaluzhnaya A.V., Nikitin N.O., Vychuzhanin P., Hvatov A., Boukhanovsky A.V. Automatic Evolutionary Learning of Composite Models With Knowledge Enrichment. GECCO 2020 - Proceedings of the Genetic and Evolutionary Computation Conference Companion. 2020. pp. 43-44.
Калюжная А.В., Никитин Н.О., Вычужанин П.В., Хватов А.А. Технологии прикладного искусcтвенного интеллекта в задачах численного моделирования процессов в океане. Комплексные исследования Мирового океана: материалы V Всероссийской научной конференции молодых ученых (Калининград, 18-22мая 2020г.). 2020. С. 81-82.
Hvatov A. The symmetrical cell eigenfrequency method for periodic structure stop-band definition. Vibroengineering Procedia. 2019. Vol. 25. pp. 100-105.
Nikitin N.O., Deeva I., Vychuzhanin P., Kalyuzhnaya A.V., Hvatov A., Kovalchuk S.V. Deadline-driven approach for multi-fidelity surrogate-assisted environmental model calibration: SWAN wind wave model case study. GECCO 2019 - Proceedings of the 2019 Genetic and Evolutionary Computation Conference Companion. 2019. pp. 1583-1591.
Обнаружение аномалий в результатах гидрометеорологического моделирования с использованием сверточных нейронных сетей
Hvatov A., Sorokin S.V. Floquet theory analysis of a weakly non-linear periodic structure. COMPDYN Proceedings. 2019. Vol. 2. pp. 3457-3464.
Hvatov A., Sorokin S. Assessment of reduced-order models in analysis of Floquet modes in an infinite periodic elastic layer. Journal of Sound and Vibration. 2019. Vol. 440. pp. 332-345.
Maslyaev M., Hvatov A. Discovery of the data-driven differential equation-based models of continuous metocean process. Procedia Computer Science. 2019. Vol. 156. pp. 367-376.
Khvatov A.A., Nikitin N., Kaluzhnaya A.V., Kosukhin S.S. Adaptation of NEMO-LIM3 model for multigrid high-resolution Arctic simulation. Ocean Modelling. 2019. Vol. 141. pp. 101427.
Maslyaev M., Hvatov A., Kalyuzhnaya A.V. Data-driven partial derivative equations discovery with evolutionary approach. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2019. Vol. 11540 LNCS. pp. 635-641.
Vychuzhanin P., Hvatov A., Kalyuzhnaya A.V. Anomalies Detection in Metocean Simulation Results Using Convolutional Neural Networks. Procedia Computer Science. 2018. Vol. 136. pp. 321-330.
Hvatov A., Sorokin S. On application of the Floquet theory for radially periodic membranes and plates. Journal of Sound and Vibration. 2018. Vol. 414. pp. 15-30.
Хватов А.А. Cylindrical waves in structures periodic in polar coordinates. COMPDYN 2017-6th International Conference on Computational Methods in Structural Dynamics and Earthquake EngineeringInternational Conference on Computational Methods in Structural Dynamics and Earthquake Engineering. – Eccomas Proceedia. 2017. pp. 509-517.
Hvatov A., Sorokin S. Free vibrations of finite periodic structures in pass-and stop-bands of the counterpart infinite waveguides. Journal of Sound and Vibration. 2015. Vol. 347. pp. 200-217.
Хватов А.А. Analysis of eigenfrequencies of finite periodic structures in view of location of frequency pas-and stop-bands. Proceedings of 20th International Congress on Sound and Vibration. 2013. pp. 1-8.
Российская Федерация, Санкт-Петербург