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  1. 2023

  2. Microgrid control for renewable energy sources based on deep reinforcement learning and numerical optimization approaches*

    Zhadan, A. U., Wu, H., Kudin, P. S., Zhang, Y. & Petrosian, O. L., 1 Nov 2023, In: Vestnik Sankt-Peterburgskogo Universiteta, Prikladnaya Matematika, Informatika, Protsessy Upravleniya. 19, 3, p. 391-402 12 p.

    Research output: Contribution to journal › Article › peer-review

  3. Finding Bottlenecks in Message Passing Interface Programs by Scalable Critical Path Analysis

    Корхов, В. В., Ганкевич, И. Г., Гавриков, А. А., Мингазова, М. Д., Петряков, И. В., Терещенко, Д. В., Шаталин, А. & Слободской, В., 31 Oct 2023, In: Algorithms. 16, 11, p. 505 505.

    Research output: Contribution to journal › Article › peer-review

  4. Forecasting online adaptation methods for energy domain

    У, Х., Долгинцева, Е. А., Жадан, А. Ю. & Петросян, О. Л., 1 Aug 2023, In: Engineering Applications of Artificial Intelligence. 123, Part C, 106499.

    Research output: Contribution to journal › Article › peer-review

  5. Resource Allocation in Heterogeneous Network with Supervised GNNs

    Sun, Q., Zhang, Y., Wu, H. & Petrosian, O., 8 Jul 2023, In: Lecture Notes in Computer Science. 13969, p. 350-361 12 p.

    Research output: Contribution to journal › Article › peer-review

  6. Cumulative Polarization: Patterns of Accumulation of Neutral and Politicized Echo Chambers on Russian Twitter

    Бодрунова, С. С., Блеканов, И. С. & Тарасов, Н. А., 2023, Social Computing and Social Media. HCII 2023. Springer Nature, p. 167–182 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14025 LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  7. Data Encoding for Social Media: Comparing Twitter, Reddit, and Telegram

    Блеканов, И. С., Тарасов, Н. А., Непиющих, Д. В. & Бодрунова, С. С., 2023, Networks in the Global World VI. NetGloW 2022. Springer Nature, p. 114–122 9 p. (Lecture Notes in Networks and Systems; vol. 663 LNNS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  8. Mapping Opinion Cumulation: Topic Modeling-Based Dynamic Summarization of User Discussions on Social Networks

    Блеканов, И. С., Тарасов, Н. А., Бодрунова, С. С. & Сергеев, С. Л., 2023, Social Computing and Social Media. HCII 2023. Springer Nature, p. 25–40 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14025 LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  9. 2022

  10. New application of multiple linear regression method - A case in China air quality

    He, Y., Qi, D. & Bure, V. M., Dec 2022, In: ВЕСТНИК САНКТ-ПЕТЕРБУРГСКОГО УНИВЕРСИТЕТА. ПРИКЛАДНАЯ МАТЕМАТИКА. ИНФОРМАТИКА. ПРОЦЕССЫ УПРАВЛЕНИЯ. 18, 4, p. 516-526

    Research output: Contribution to journal › Article › peer-review

  11. Speech platformized: Language similarities and differences for twitter, reddit and telegram as assessed by the deep-learning semantic neural encodings method

    Бодрунова, С. С., Блеканов, И. С., Тарасов, Н. А. & Непиющих, Д. В., Nov 2022, DIGITAL PLATFORMS AND THE FUTURE OF LEGACY MEDIA : Четырнадцатые международные научные чтения в Москве «СМИ и массовые коммуникации–2022». Вартанова, Е. Л. (ed.). Издательство Московского университета, p. 24

    Research output: Chapter in Book/Report/Conference proceeding › Conference abstracts › peer-review

  12. Численное моделирование и анализ экономических систем

    Смирнов, Н. В., Сачков, А. В. & Смирнова, Т. Е., Jun 2022, In: Процессы управления и устойчивость. 9, 1, p. 289-294 6 p.

    Research output: Contribution to journal › Conference article › peer-review

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