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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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?

Integrated approach to traceability data management

P. 44–53.
Abdulrab H., Itmi M., Poletaeva T., Saleh S.
Globalization of trade and higher volume flows lead to the necessity of new approaches in design of traceability systems. Since containerization becomes a dominant technique in the general cargo trade and RFID (Radio Frequency Identification) technology have already proven to be effective in traceability systems to get data about physical objects, this paper proposes an integrated approach to RFID data management within traceability system for containers. At first, it is proposed to apply peer-to-peer distributed network for data accumulation as the most natural approach to manage a plenty of widely spaced objects that are able to communicate with each other. Then the general idea of ontological approach to store and organize traceability data is expressed in order to enable integration among systems and data through semantic interoperability. Finally, it is proposed to analyze traceability data according to business processes of related organization for detection of any deviations in a process chain.
Language: English
Text on another site
Keywords: ontologybusiness process modelingmulti-agent systemspeer-to-peer networksrfidTraceability

In book

CEUR Workshop Proceedings
Vol. 963: Emerging Topics in Business Informatics Research 2012. , Nizhny Novgorod: Higher School of Economics in Nizhny Novgorod, 2012.
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