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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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Intelligent Distributed Computing XIII

Switzerland : Springer, 2020.
Under the general editorship: I. Kotenko, B. Costin, V. Desnitsky, D. E. Baz, M. Ivanovic

Intelligent distributed computing appeared in the 1970s as an outcome of the exploitation of synergies between different research and industrial trends coming from the fields of Intelligent Systems and Distributed Computing. It is a stream directly derived from artificial intelligence, granting novel and significant intelligent solutions built upon the combination of models from this classical field with computational intelligence, distributed, multi-agent systems and computer security. This volume collects a range of research contributions exposing innovative advances of intelligent and distributed computing, comprising both architectural and algorithmic findings related to these fields. A major focus is placed on new models, techniques, and applications for intelligent distributed and high-performance architectures, ephemeral and unreliable computing, intelligent distributed knowledge representation and processing, networked intelligence, distributed swarm robotics systems, nature-inspired methods for data science and machine learning, and many others. The book comprises the peer-reviewed proceedings of the 13th International Symposium on Intelligent Distributed Computing (IDC 2019), which was held in St. Petersburg, Russia, October 7–9, 2019. IDC 2019 continues the legacy of the prior IDC Symposium Series as an initiative of two research groups: Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland, and Software Engineering Department, University of Craiova, Craiova, RomaniaIntelligent distributed computing appeared in the 1970s as an outcome of the exploitation of synergies between different research and industrial trends coming from the fields of Intelligent Systems and Distributed Computing. It is a stream directly derived from artificial intelligence, granting novel and significant intelligent solutions built upon the combination of models from this classical field with computational intelligence, distributed, multi-agent systems and computer security. This volume collects a range of research contributions exposing innovative advances of intelligent and distributed computing, comprising both architectural and algorithmic findings related to these fields. A major focus is placed on new models, techniques, and applications for intelligent distributed and high-performance architectures, ephemeral and unreliable computing, intelligent distributed knowledge representation and processing, networked intelligence, distributed swarm robotics systems, nature-inspired methods for data science and machine learning, and many others. The book comprises the peer-reviewed proceedings of the 13th International Symposium on Intelligent Distributed Computing (IDC 2019), which was held in St. Petersburg, Russia, October 7–9, 2019. IDC 2019 continues the legacy of the prior IDC Symposium Series as an initiative of two research groups: Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland, and Software Engineering Department, University of Craiova, Craiova, Romania

Chapters
Intelligent Technologies and Systems for Spatial Industrial Strategic Planning
Serova E., , in: Intelligent Distributed Computing XIII.: Switzerland: Springer, 2020. P. 414–422.
Today, the strategic planning of industrial spatial clusters is becoming extremely important when forecasting industrial regional economic development and making management decisions. Frequently, such challenges involve the use of contemporary methodological approaches and system models. Therefore, the role and importance of system models and intelligent information technologies are increasing, particularly in the creating of interdisciplinary databases ...
Added: July 10, 2019
Global and Private Job-Flow Scheduling Optimization in Grid Virtual Organizations
Toporkov V., Toporkova A. S., Yemelyanov D., , in: Intelligent Distributed Computing XIII.: Switzerland: Springer, 2020. P. 160–169.
In this work, an approach for a preference-based job-flow scheduling in Grid virtual organizations (VOs) is proposed and studied. Users’ and resource providers’ preferences, VOs internal policies, resources geographical distribution along with local private utilization impose specific requirements for efficient scheduling according to different, usually contradictive, criteria. Fair scheduling policies in VOs assume resources distribution ...
Added: October 23, 2019
Research target: Economics and Management Mathematics Computer Science
Priority areas: economics management business informatics mathematics
Language: English
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Keywords: computational intelligenceIDC Intelligent Distributed ComputingIDC 2019Distributed Computing
Intelligent Distributed Computing XIII
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Added: May 1, 2026
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Added: April 30, 2026
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Added: April 18, 2026
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Added: April 3, 2026
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Added: April 3, 2026
Using predefined vector systems to speed up neural network multimillion class classification
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Added: April 2, 2026
Загадка внутренней мотивации
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Added: March 15, 2026
Homogeneous maximizers of the Blaschke-Santalo-type functionals
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Added: February 13, 2026
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