1. 2021
  2. Predicting ship trajectory based on neural networks using AIS data

    Volkova, T. A., Balykina, Y. E. & Bespalov, A., Mar 2021, In: Journal of Marine Science and Engineering. 9, 3, 11 p., 254.

    Research output: Contribution to journalArticlepeer-review

  3. Characteristic-based finite-difference schemes for the simulation of convection–diffusion equation by the finite-difference-based lattice Boltzmann methods

    Krivovichev, G. V., 18 Jan 2021, In: International Journal of Computer Mathematics. 98, 10, p. 1991-2007 17 p.

    Research output: Contribution to journalArticlepeer-review

  4. Transferable utility cooperative differential games with continuous updating using pontryagin maximum principle

    Zhou, J., Tur, A., Petrosian, O. & Gao, H., 14 Jan 2021, In: Mathematics. 9, 2, p. 1-22 22 p., 163.

    Research output: Contribution to journalArticlepeer-review

  5. Analysis of Directed Signed Networks: Triangles Inventory

    Evmenova, E. & Gromov, D., 2021, Networks in the Global World V - Proceedings of NetGloW 2020. Antonyuk, A. & Basov, N. (eds.). Springer Nature, p. 120-132 13 p. (Lecture Notes in Networks and Systems; vol. 181).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  6. Cooperative differential games with continuous updating using Hamilton–Jacobi–Bellman equation

    Petrosian, O., Tur, A., Wang, Z. & Gao, H., 2021, In: Optimization Methods and Software. 36, 6, p. 1099 - 1127 29 p.

    Research output: Contribution to journalArticlepeer-review

  7. Limit cycles in locally Hamiltonian systems with dissipation

    Castaños, F. & Gromov, D., 2021, In: IFAC-PapersOnLine. 54, 19, p. 192-197 6 p.

    Research output: Contribution to journalConference articlepeer-review

  8. 2020
  9. The initial-boundary problem for the system of 1D equations of non-Newtonian hemodynamics

    Krivovichev, G. V., 17 Dec 2020, In: Journal of Physics: Conference Series. 1697, 1, 012075.

    Research output: Contribution to journalArticlepeer-review

  10. Explainable AI: Using shapley value to explain complex anomaly detection ML-based systems

    Zou, J. & Petrosian, O., 2 Dec 2020, Machine Learning and Artificial Intelligence : Proceedings of MLIS 2020. Tallon-Ballesteros, A. J. & Chen, C-H. (eds.). IOS Press, p. 152-164 (Frontiers in Artificial Intelligence and Applications; vol. 332).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  11. A Class of General Transformation of Characteristic Functions in Dynamic Games

    Liu, C., Gao, H., Petrosian, O., Liu, Y. & Wang, L., Dec 2020, In: Journal of Systems Science and Complexity. 33, 6, p. 1997 - 2012 16 p.

    Research output: Contribution to journalArticlepeer-review

  12. A differential game with random time horizon and discontinuous distribution

    Заремба, А. П., Gromova, E. & Tur, A., Dec 2020, In: Mathematics. 8, 12, p. 1-21 21 p., 2185.

    Research output: Contribution to journalArticlepeer-review

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