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Построение и анализ моделей русского языка в связи с исследованиями криптографических алгоритмов
Чебышевский сборник. 2022. Т. 23. № 2. С. 151–160.
The article provides a statistical analysis of the properties of lexical and n-gram models of the Russian language based on the news text corpus. A specialized corpus of political news articles of recent years has been created, reflecting a narrow area of language use. The token and n-gram dictionaries are compiled, the coverage values are found, as well as the values of entropy. Lemmatization of the original text corpus and extrapolation of the dictionary volumes are performed.
Springer, 2026.
Two volumes of the SPECOM 2026 proceedings contain a collection of submitted papers presented at SPECOM 2026, which were thoroughly reviewed by members of the Program Committee and additional reviewers consisting of almost 80 experts in the conference topic areas. In total, 65 regular full papers out of 99 submissions made via the EasyChair electronic ...
Added: September 20, 2026
Medvedev V., Annals of Global Analysis and Geometry 2026 Vol. 70 No. 2 P. 8–23
This paper studies three-dimensional compact static manifolds with boundary and positive scalar curvature. We prove that, under a suitable bound on the Ricci curvature, the orientable quotient of the Nariai static manifold with boundary is the only such manifold with connected boundary, provided that the zero-level set of the potential is connected and does not intersect ...
Added: September 19, 2026
Aleksei Samarin, Alexander Savelev, Aleksei Toropov et al., Pattern Recognition and Image Analysis 2026 Vol. 36 No. 2 P. 323–334
In this paper, an improved approach for automatic wildlife detection in natural environments based on the integration of a neural network architecture with a two-stream attention mechanism and a novel preclassification step based on infrared data has been presented. The proposed method addresses one of the key challenges in environmental monitoring: the need for scalable ...
Added: September 19, 2026
Aleksei Samarin, Nazarenko A., Kotenko E. et al., Proceedings of the ACM on Management of Data, USA 2026 Vol. 4 No. 1 P. 1–28
Modern knowledge and large volumes of data are increasingly encoded within neural networks, making the task of simplifying their structures and reducing the number of parameters especially relevant, both to improve efficiency and to facilitate deployment in resource-constrained environments. This paper presents a novel approach to neural network compression that addresses redundancy at both the ...
Added: September 19, 2026
Aleksei Samarin, Alexander Savelev, Aleksei Toropov et al., Pattern Recognition and Image Analysis 2025 Vol. 35 No. 2 P. 148–158
This paper describes our research on creating classifiers for microbial images (micrococci microscopy images) obtained from pictures of unfixed microscopic scenes. In our work, we propose an AutoML approach based on the automatic generation and analysis of the feature space for constructing the most optimal descriptors of microorganism images for subsequent classification. This makes it ...
Added: September 19, 2026
Aleksei Samarin, Alexander Savelev, Aleksei Toropov et al., Pattern Recognition and Image Analysis 2026 Vol. 36 No. 2 P. 302–312
The lack of annotated microscopic datasets remains a major obstacle to training robust deep learning models for microbial classification. In this paper, a novel data augmentation pipeline that uses visual–linguistic large-scale models to generate synthetic microscopic images of six different bacterial and nonbacterial classes has been proposed. Synthetic samples have gradually been added to the ...
Added: September 19, 2026
Springer, Cham, 2026.
computer vision ...
Added: September 19, 2026
Springer, Cham, 2026.
Added: September 19, 2026
FRUCT Oy, 2024.
Added: September 19, 2026
FRUCT Oy, 2024.
Added: September 19, 2026
FRUCT Oy, 2025.
Added: September 19, 2026
FRUCT Oy, 2026.
Added: September 19, 2026
А. Г. Малашина, Доклады Российской академии наук. Математика, информатика, процессы управления (ранее - Доклады Академии Наук. Математика) 2023 Т. 514 № 2 С. 138–149
В целях обеспечения защищенного информационного обмена в каналах связи необходимо предварительное исследование корректности работы соответствующих систем защиты информации. Несмотря на то что используемые в таких системах математические алгоритмы корректны и теоретически обеспечивают правильные статистические свойства выходного потока по сравнению с входным, на этапе реализации (программирования) данных алгоритмов защиты или на этапах сборки конечного оборудования (использования ...
Added: November 1, 2023
Malashina A., Baltic Journal of Modern Computing 2021 Vol. 9 No. 3 P. 363–376
We research n-gram dictionaries and estimate its coverage and entropy based on theweb corpus of English. We consider a method for estimating the coverage of empirically gen-erated dictionaries and an approach to address the disadvantage of low coverage. Based on theideas of Kolmogorov’s combinatorial approach, we estimate the n-gram entropy of the Englishlanguage and use ...
Added: September 13, 2021
Anastasia Malashina, , in: Entropy 2021: The Scientific Tool of the 21st Century. Conference Proceedings Book.: Porto: MDPI Open Access Publishing, 2021. P. 106–106.
When solving a number of information security problems, one of the problems is to estimate the number of possible meaningful texts of fixed length. To estimate this value, various approaches can be used, in each of which the key parameter is the information entropy. To estimate the number of short plaintexts, the entropy of n-grams ...
Added: May 5, 2021
Малашина А. Г., В кн.: Электронные средства и системы управления: материалы докладов XVI Международной научнопрактической конференции (18–20 ноября 2020 г.): в 2 ч.Ч. 2.: Томск: В-спектр, 2020. С. 85–88.
Added: April 23, 2021
Малашина А. Г., Los A., В кн.: Алгебра, теория чисел и дискретная геометрия: современные проблемы, приложения и проблемы истории.: Тула: ТГПУ, 2020. С. 177–181.
Added: September 24, 2020