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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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About Universality and Flexibility of FCA-based Software Tools

P. 59–66.
Neznanov A., Parinov A.
There is a big gap between variety of applications of Formal Concept  Analysis (FCA) methods and general-purpose software implementations. We  discuss history of FCA-based software tools, which is relatively short, main  problems in advancing of such tools, and development ideas. We present Formal  Concept Analysis Research Toolbox (FCART) as an integrated environment for  knowledge and data engineers with a set of research tools based on Formal  Concept Analysis. FCART helps us to illustrate methodological and  technological problems of FCA approach to data analysis and knowledge  extraction.
Language: English
Full text
Text on another site
Keywords: softwareFCA (Formal Concept Analysis)Knowledge ExtractionKnowledge Discovery and Data Mining
Publication based on the results of:
Mathematical models, algorithms and software for data mining in the text and the structural form (2014)

In book

Proceedings of the International Workshop "What can FCA do for Artificial Intelligence?" (FCA4AI at ECAI 2014)
Vol. 1257. , Prague: CEUR Workshop Proceedings, 2014.
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