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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
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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?
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Ontological Framework Aimed to Facilitate Business Transformations

.
Poletaeva T., Babkin E., Abdulrab H.

Information systems aimed for the analysis and management of enterprises perceive the reality through their embedded data patterns. These data patterns must be sufficient to store the information about transformations of business processes, products and organizational structure over time. Moreover, customization, extension and integration of data models have not to impede organizational changes. However, there is a lack of approaches to data modelling that fit with the changing nature of business objects and that allow the seamless extension and sharing of knowledge between business-nodes of networking organizations. This paper introduces a new ontological framework for consistent data modelling based on the notions of the Enterprise Ontology and the Object Paradigm. After explanation of the core elements of the proposed formal ontology, we exemplify the use of the ontology for creation of the information system aimed for the diagnosis of traceability problems in supply networks.

Language: English
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Keywords: ontologybusiness process modelingObject Paradigmdata modellingEnterprise OntologyOrganizational SemioticsBusiness Objects Semantics

In book

CEUR Workshop Proceedings (T.1301, 1st Joint Workshop ONTO.COM / ODISE on Ontologies in Conceptual Modeling and Information Systems Engineering co-located with 8th International Conference on Formal Ontology in Information Systems (FOIS 2014). Rio de Janeiro, Brazil, September 21, 2014)
Guizzardi G., Pastor O., Wand Y., Cesare S., Gailly F., Lycett M., Partridge C. Vol. 1301: Ontologies in Conceptual Modeling and Information Systems Engineering (ONTO-COM-ODISE 2014). , [б.и.], 2014.
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