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News
September 7, 2026
Biologists Discover 'Molecular Fingerprint' of Preeclampsia
Researchers at HSE University employed a new method to model hypoxia in placental cells during pregnancies complicated by preeclampsia and identified molecular markers of tissue hypoxia. Since hypoxia is one of the key mechanisms underlying preeclampsia, these findings are important for a more accurate and timely diagnosis of the disease and for the development of effective treatment methods. The paper has been published in Placenta.
September 7, 2026
‘Speech, Facial Expressions, and Gestures Cannot Lie
Would you like to know whether a speaker’s trembling voice or an accidental gesture can give them away? At HSE University in Nizhny Novgorod, researchers are developing an algorithm that analyses speech, facial expressions, and gestures, and determines whether information is truthful with 92% accuracy. The project has applications ranging from forensic examination and bank recruitment to fundamental research. Anna Khomenko, head of the research group and Senior Research Fellow at the Centre for Language and Brain at the HSE Faculty of Humanities in Nizhny Novgorod, explains how students and researchers are working together to create a corpus of video recordings, train a classifier, and prepare to introduce computer vision technology.
September 4, 2026
Time to Showcase Your Research: Applications Are Now Open for Student Research Paper Competition 2026
Taking part in the Student Research Paper Competition (SRPC) gives you an opportunity to present your research to experts, receive an independent assessment, and determine the future direction of your work. The competition is open to students graduating in 2026 not only from HSE University but from universities in Russia and abroad. Papers may be submitted in Russian and English, and in some fields also in French, German, and Spanish.

 

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Intelligent Systems Reference Library

Vol. 184: Advances in Signal Processing: Theories, Algorithms, and System Control. Springer, 2020.
Academic editor: M. Favorskaya, L. Jain

The book presents a very small sample of research work undertaken by the
researchers of Russian Federation in the field of signal processing theories, algorithms
and system control. The book is directed to the PhD students, professors, researchers and software
developers working in the areas of digital video processing and computer vision
technologies. We wish to express our gratitude to the authors and reviewers for their contribution.
The assistance provided by Springer-Verlag is acknowledged.

Chapters
The Development of the Algorithm for Estimating the Spectral Correlation Function Based on Two-Dimensional Fast Fourier Transform
Shevgunov T., Efimov E., Kirdyashkin V. et al., , in: Intelligent Systems Reference LibraryVol. 184: Advances in Signal Processing: Theories, Algorithms, and System Control.: Springer, 2020. P. 75–86.
This chapter presents the algorithm for estimating spectral correlation function of a random process that is a valid bi-frequency description of the probabilistic properties of any wide-sense cyclostationary process and relates to its cyclic autocorrelation function via Fourier transform. The key point of the algorithm is that it is based on the two-dimensional discrete Fourier transform of the sample ...
Added: August 25, 2020
Research target: Electronics and Electrical Engineering Mathematics Computer Science
Priority areas: IT and mathematics business informatics mathematics engineering science
Language: English
DOI
Text on another site
Keywords: цифровая обработка сигналовcomputer visiondigital signal processingintelligent control systemssystem control signal processing
Intelligent Systems Reference Library
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The EAEU and the CSTO are Russia’s principal regional international organisations. Understanding, assessing, and analysing the foreign-policy positions of the countries that belong to them is a matter of the state’s national interests. This determines the purpose of the study: to identify the level and the form of cohesion in the voting of EAEU and ...
Added: September 7, 2026
Rational p-adic Hodge theory for d-de Rham-proper stacks
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In this follow-up paper we show that smooth Hodge-proper stacks over O𝐾 are ℚ𝑝-locally acyclic: namely the natural map between étale ℚ𝑝-cohomology of the algebraic and Raynaud generic fibers is an equivalence. This establishes the ℚ𝑝-case of general conjectures made in D. Kubrak and A. Prikhodko [p-adic Hodge theory for Artin stacks, Mem. Amer. Math. ...
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Lower Bounds on the Measure of the Support of Positive and Negative Parts of Trigonometric Polynomials
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The measure of the positivity set {x ∈ [0; 2π] | f (x) > 0} of a trigonometric polynomial f  is bounded from below by the Motzkin density. We generalize the bound to polynomials in several variables and almost periodic functions. We then use these generalizations to extend known results on Taikov’s problem. ...
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Pupillometry and autonomic nervous system responses to cognitive load and false feedback: an unsupervised machine learning approach
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В работе изучаются перестановки, возникающие при упорядочивании по возрастанию дробных долей произведений элементов фиксированной целочисленной последовательности на вещественный параметр. Исследуется количество различных перестановок, которые можно получить таким образом при изменении этого параметра от нуля до единицы. ...
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Scalable machine learning approach to disordered s-wave superconductors
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We develop a neural network approach to solve the self-consistent Bogoliubov-de Gennes equations in strongly disordered s-wave superconductors. The method accurately reproduces inhomogeneous gap distributions and generalizes to system sizes far larger than those used in training. It reduces computational scaling from O(N6 ) to O(N2), enabling quantitative analysis of percolation phenomena and the superconductor-insulator ...
Added: September 5, 2026
On the rate of Gaussian approximation for online linear regression problems
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In this paper, we consider the problem of Gaussian approximation for the online linear regression task. We derive the corresponding rates for the setting of a constant stepsize and study the explicit dependence of the convergence rate on the problem dimension d and quantities related to the design matrix. When the number of iterations n is known in advance, ...
Added: September 4, 2026
Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence (UAI), PMLR Volume 337, 17-21 August 2026, KIT, Amsterdam, the Netherlands
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Относительные аналитические законы взаимности
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A unified frequency-domain framework for tilted slice localization and ischemic stroke detection
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Proceedings of the 2026 Fourth International Conference on Distributed Computing and High Performance Computing (DCHPC)
IEEE, 2026.
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Added: September 2, 2026
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Added: August 21, 2026
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Added: July 30, 2026
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Added: July 21, 2026
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Added: July 16, 2026
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Let K be a field of characteristic zero. We prove that its motivic cohomology in degree m−1 and weight m is rationally isomorphic to the cohomology of the polylogarithmic complex. This gives a partial extension of A. Suslin theorem describing the indecomposable K3 of a field. ...
Added: July 16, 2026
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Added: July 9, 2026
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Added: June 26, 2026
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Added: June 23, 2026
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