1. 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 journalArticlepeer-review

  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 journalArticlepeer-review

  3. Methods of User Opinion Data Crawling in Web 2.0 Social Network Discussions

    Непиющих, Д. В., Блеканов, И. С., Тарасов, Н. А. & Максимов, А. Ю., 2024, Social Computing and Social Media. HCII 2024.. Springer Nature, p. 72-81 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14703 LNCS).

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

  4. MAPPING OPINION CUMULATION: TOPIC MODELING-BASED DYNAMIC SUMMARIZATION OF USER DISCUSSIONS ON SOCIAL NETWORKS

    Блеканов, И. С., Тарасов, Н. А. & Бодрунова, С. С., 2023, ПЯТНАДЦАТЫЕ МЕЖДУНАРОДНЫЕ НАУЧНЫЕ ЧТЕНИЯ В МОСКВЕ "СМИ И МАССОВЫЕ КОММУНИКАЦИИ–2023" ЭПОХА НЕОПРЕДЕЛЕННОСТИ В СОВРЕМЕННЫХ СМИ И ЖУРНАЛИСТИКЕ: ВЫЗОВЫ БОЛЬШИХ ДАННЫХ И ИСКУССТВЕННОГО ИНТЕЛЛЕКТА. Издательство Московского университета, p. 25-26

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

  5. 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 proceedingConference contributionResearchpeer-review

  6. LONG-TERM AIR QUALITY EVALUATION SYSTEM PREDICTION IN CHINA BASED ON MULTINOMIAL LOGISTIC REGRESSION METHOD

    Хе, Я., Ци, Д. & Буре, В. М., Dec 2023, In: Geography, Environment, Sustainability. 16, 4, p. 164 - 171 8 p.

    Research output: Contribution to journalArticlepeer-review

  7. Graph attention network enhanced power allocation for wireless cellular system

    Qiushi, S., Хе, Я. & Petrosyan, O., 11 Jan 2024, In: Informatics and Automation. 23, 1, p. 259–283 25 p.

    Research output: Contribution to journalArticlepeer-review

  8. 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 journalArticlepeer-review

  9. 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 journalArticlepeer-review

  10. Extending the applicabilityof the Zipf’s laws to the sequences of byte data

    Сергеев, С. Л., Блеканов, И. С., Ежов, Ф. В. & Тарасов, Н. А., 2024, In: Вестник Санкт-Петербургского университета. Прикладная математика. Информатика. Процессы управления. 20, 3, p. 391–403 13 p.

    Research output: Contribution to journalArticlepeer-review

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