Лукашенко О.В. Список научных работ

1. Институту прикладных математических исследований КарНЦ РАН – 25 лет
   Сорокин А.Д., Мазалов В.В., Заика Ю.В., Реттиева А.Н., Лукашенко О.В. Труды КарНЦ РАН. No 4. Сер. Математическое моделирование и информационные технологии. 2024. C. 65-68 (РИНЦ)
2. On the reliability estimation of the FBM multi-phase degradation system
   Lukashenko O.V. Distributed computer and communication networks : control, computation, communications (DCCN-2022). Proceedings of the XXV International Scientific Conference. 2022. Pp. 291-296 (РИНЦ)
3. On the reliability estimation of the Gaussian multi-phase degradation system
   Lukashenko O.V. Distributed Computer and Communication Networks: Control, Computation, Communications. DCCN 2022. Lecture Notes in Computer Science, vol 13766. Springer, Cham. 2022. P. 410–421. DOI: 10.1007/978-3-031-23207-7_32 (Web of Science, Scopus)
4. Correction of Uncertain Access Points Positions in Underground Mines Using SLAM Approach
   Larionov D, Lukashenko O., Moshevikin A., Voronov R., Sikora A. Proceedings of the IEEE IDAACS-2021. 2021. Pp. 761-766 (Scopus)
5. FMRI image segmentation based on hidden Markov random field with directional statistics observation model
   Lukashenko O., Chernyaev S. Proceedings of SPIE - The International Society for Optical Engineering. Vol. 11433. 2020. P. 114331D. DOI: 10.1117/12.2559545 (Web of Science, Scopus)
6. Importance sampling for the estimation of the failure probability of the degradation process
   Lukashenko, O., Borodina, A. Proceedings of the Second International Workshop on Stochastic Modeling and Applied Research of Technology (SMARTY2020). CEUR Workshop Proceedings, Vol. 2792. 2020. Pp. 191-202 (Scopus)
7. Improving the Accuracy for Radio-Based Positioning in Mines Using SLAM
   D. Larionov, O. Lukashenko, A. Moschevikin, R. Voronov and A. Sikora. 2020 IEEE 5th International Symposium on Smart and Wireless Systems within the Conferences on Intelligent Data Acquisition and Advanced Computing Systems (IDAACS-SWS). Dortmund. 2020. C. 1-7. DOI: 10.1109/IDAACS-SWS50031.2020.9297088 (Scopus)
8. Rare-Event Simulation for the Hitting Time of Gaussian Processes
   Lukashenko O., Pagano M. Distributed Computer and Communication Networks. DCCN 2020. Lecture Notes in Computer Science, vol 12563. Springer, Cham. 2020. DOI: 10.1007/978-3-030-66471-8_45 (Scopus)
9. A Gaussian approximation of the distributed computing process
   Lukashenko O.V., Morozov E.V., Pagano M.A. Informatika i ee Primeneniya, Vol.13, No 2. 2019. Pp. 109-116
10. On a lower asymptotic bound of the overflow probability in a fluid queue with a heterogeneous fractional input
    Khokhlov Y.S., Lukashenko O.V., Morozov E.V. Journal of Mathematical Sciences, Vol. 237, No 5. 2019. Pp. 667-672
11. On conditional Monte Carlo for the failure probability estimation
    A. Borodina, O. Lukashenko, E. Morozov. 10th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT). 2019. P. 202–207. DOI: 10.1109/ICUMT.2018.8631199 (Web of Science, Scopus, РИНЦ)
12. On estimation of rare event probability in degradation process with light-tailed stages
    A. Borodina, O. Lukashenko, E. Morozov. Proceedings of DCCN2019. 2019. P. 477–483 (РИНЦ)
13. Сравнительный анализ методов сегментации фМРТ изображений, основанных на марковских случайных полях
    С. Д. Черняев, О. В. Лукашенко. Труды конференции ГрафиКон-2019. 2019. DOI: 10.30987/graphicon-2019-1-143-147 (РИНЦ)

Лукашенко О.В.