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News
May 25, 2026
HSE Scientists Train Neural Network to 'Hear' Faults in Electric Motors
Researchers at the AI and Digital Science Institute of the HSE Faculty of Computer Science have developed a new method—the Signature-Guided Data Augmentation (SGDA) framework—that achieves 99% accuracy in motor fault detection and 86% accuracy in fault classification. The application of this approach can reduce industrial equipment repair costs, minimise downtime, and improve production safety. The study results have been published in Engineering Applications of Artificial Intelligence.
May 25, 2026
'The Humanities Serve as a Conscience'
Maria Mizernaia studies Soviet literature and the history of book publishing. In this interview for the HSE Young Scientists project, she discusses plans to publish a novel about besieged Leningrad, AI-provoked reflections on what it means to be human, and how novels can help satisfy our dopamine hunger.
May 25, 2026
Is It Possible to Predict a Citys Life Based on the Shape of Its Neighbourhoods?
Is it possible to predict, based on the configuration of streets and buildings, where a café will open or where traffic congestion will occur? Participants in the Spatial Analysis and Modelling of Urban Processes research and study group use open data and machine learning to identify universal patterns. Alexander Sheludkov and Eduard Somov discuss the purpose of comparing cities, the need for new forms of urban statistics, and how open data is transforming approaches to urban studies.

 

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Proceedings of the First International Conference on Data Compression, Communications and Processing

NY : IEEE Computer Society, 2013.
Academic editor: B. Carpentieri, F. Palmieri

This book constitutes the refereed proceedings of the First International Conference on Data Compression, Communications and Processing held in Palinuro, Italy, in June 2011. 
 

Chapters
Pattern Matching on Sparse Suffix Trees
Kolpakov R. M., Kucherov G., Starikovskaya T., , in: Proceedings of the First International Conference on Data Compression, Communications and Processing.: NY: IEEE Computer Society, 2013. P. 92–97.
We consider a compact text index based on evenly spaced sparse suffix trees of a text \cite{KU-96}. Such a tree is defined by partitioning the text into blocks of equal size and constructing the suffix tree only for those suffixes that start at block boundaries. We propose a  new pattern matching algorithm on this structure. ...
Added: October 30, 2013
Priority areas: IT and mathematics mathematics
Language: English
Keywords: data processingdata compressioncommunication complexity
Proceedings of the First International Conference on Data Compression, Communications and Processing
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ML-based Fast Simulation of FARICH Responses
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A fast simulation of the detector response is a vital task in high-energy physics (HEP). Traditional Monte-Carlo methods form the backbone of modern particle physics simulation software but are computationally expensive. We present a machine-learning-based approach to fast simulation of the Focusing Aerogel Ring Imaging Cherenkov (FARICH) detector response. Given a particle track and momentum, ...
Added: May 19, 2026
Bifurcations and Structural Stability of Generic PC-HC Families
Dorovskiy A., / Series arXiv "math". 2026.
In this paper the structural stability of generic families of vector fields of the PC-HC class on the two-dimensional sphere is proved. A classification of these families up to moderate equivalence in neighborhoods of their large bifurcation supports is presented, based on such invariants as the configuration and the characteristic set. The realization lemma is proved. ...
Added: May 14, 2026
On the minimum number of maximal distance-k independent sets in trees
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A vertex subset of a graph is called a \textit{distance-$k$ independent set} if the distance between any two of its distinct vertices is at least $k + 1$. For all $n,k \geq 1$, we determine the minimum possible number of inclusion-wise maximal distance-$k$ independent sets among all $n$-vertex trees. It equals~$n$ if $n \leq k ...
Added: May 1, 2026
On Arithmetic Mirror Symmetry for smooth Fano fourfolds
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Natural hazard database from Internet publications: text mining with a large language model
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Comprehensive data on natural hazards and their consequences are crucial for effective for risk assessment, adaptation planning, and emergency response. However, many countries face challenges with fragmented, inconsistent, and inaccessible data, particularly regarding local-scale events. To address this data gap in Russia, we developed an end-to-end processing pipeline that scrapes news from various online sources, ...
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Algorithmic overlaps as thermodynamic variables: from local to cluster Monte Carlo dynamics in critical phenomena
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We deal with the global in time weak solutions to the 1D compressible Navier-Stokes system of equations for large discontinuous initial data and nonhomogeneous boundary conditions of three standard types. We prove the Lipschitz-type continuous dependence of the solution $(\eta,u,\theta)$, in a norm slightly stronger than $L^{2,\infty}(Q)\times L^2(Q)\times L^2(Q)$,  on the initial data $(\eta^0,u^0,e^0)$ in a ...
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2026 ElCon Conference of Young Researchers in Computing & Processing, and Information Security (ElCon-CP)
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Preface IEEE Russia North West Section and Saint Petersburg Electrotechnical University “LETI” are pleased to present the Proceedings of the 2026 ElCon Conference of Young Researchers in Computing & Processing, and Information Security (2026 ElCon-CP) held in St. Petersburg, Russia, on February 3-5, 2026. This conference was hosted by Saint Petersburg Electrotechnical University “LETI”. The ...
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Homogeneous maximizers of the Blaschke-Santalo-type functionals
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Added: February 13, 2026
Iterative Ricci-Foster Curvature Flow with GMM-Based Edge Pruning: A Novel Approach to Community Detection
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Added: January 15, 2026
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Added: August 23, 2025
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Added: November 9, 2023
Data Compression Strategies for Enhancing IoRT Communications over Heterogeneous Terrestrial-Satellite Networks
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Data transmission over low-speed networks is a subject of global research interest, with a specific focus on overcoming limitations in satellite communication channels. However, little research has addressed the impact of compression on data transmission efficiency in heterogeneous networks using satellite links, especially in the context of the Internet of Remote Things and under poor ...
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Зачастую именно человеческий фактор ведет к распространению угроз на предприятиях. Если техническое устройство представляет собой четко работающий и слаженный механизм с возможностью при помощи диагностического оборудования проводить замеры параметров неисправностей и устранять их, то для исследования скрытых атак необходим новый компонент системы. Предприятия и промышленность в целом нуждаются в интеллектуальной системе защиты и обнаружения скрытых ...
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АНАЛИЗ ДАННЫХ ДОЛГОВРЕМЕННЫХ ИЗМЕРЕНИЙ ВОЛН У ОСТРОВА САХАЛИН
Кокорина А. В., Slunyaev A., Зайцев А. И. et al., Экологические системы и приборы 2022 № 12 С. 45–54
Long-term measurements of bottom pressure variations obtained in 4 experimental campaigns near Sakhalin Island (Cape Svobodny) are analyzed. The statistical characteristics of 20-minute records of sea surface displacements reconstructed in the hydrostatic approximation, as well as individual wave parameters, such as wave height, period, and wave asymmetry, are studied. Records with similar meteorological conditions are sorted according to ...
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Soshnikov D. V., Valieva Y., / Series Computer Science "arxiv.org". 2021.
In this paper, we present a new Python library called mPyPl, which is intended to simplify complex data processing tasks using functional approach. This library defines operations on lazy data streams of named dictionaries represented as generators (so-called multi-field datastreams), and allows enriching those data streams with more 'fields' in the process of data preparation ...
Added: October 7, 2021
Counting the Number of Perfect Matchings, and Generalized Decision Trees
Vyalyi M., Problems of Information Transmission 2021 Vol. 57 No. 2 P. 143–160
We consider a generalization of the Pólya–Kasteleyn approach to counting the number of perfect matchings in a graph based on computing the symbolic Pfaffian of a directed adjacency matrix of the graph. Complexity of algorithms based on this approach is related to the complexity of the sign function of a perfect matching in generalized decision ...
Added: August 20, 2021
SpheroidPicker for automated 3D cell culture manipulation using deep learning
Grexa I., Diosdi A., Harmati M. et al., Scientific Reports 2021 Vol. 11 Article 14813
Recent statistics report that more than 3.7 million new cases of cancer occur in Europe yearly, and the disease accounts for approximately 20% of all deaths. High-throughput screening of cancer cell cultures has dominated the search for novel, effective anticancer therapies in the past decades. Recently, functional assays with patient-derived ex vivo 3D cell culture ...
Added: July 21, 2021
Inner Product and Set Disjointness: Beyond Logarithmically Many Parties
Podolskii V. V., Sherstov A., ACM Transactions on Computation Theory 2020 Vol. 12 No. 4 P. 26
A major goal in complexity theory is to understand the communication complexity of number-on-the-forehead problems f:({0, 1}^n)^k → {0, 1} with k > log n parties. We study the problems of inner product and set disjointness and determine their randomized communication complexity for every k ≥ log n, showing in both cases that Θ(1 + ⌈log n⌉/ log ⌈1 + k/ log n⌉) bits are necessary and ...
Added: December 23, 2020
Data Compression in Big Graph Warehouse
Polyakov I. V., Chepovskiy A., Chepovskiy A., Journal of Mathematical Sciences 2020 Vol. 245 P. 197–201
In this paper we propose an approach for compact storage of big graphs. We propose the preprocessing algorithms of a certain type of graphs which can signi cantly increase the data density on the disc and increase performance of fundamental operations with graphs. ...
Added: January 30, 2020
2019 Data Compression Conference Proceedings
IEEE, 2019.
Added: July 2, 2019
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