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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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?

РАЗРАБОТКА КОНСТРУКТОРА ЖУРНАЛОВ СОБЫТИЙ С ДОПОЛНИТЕЛЬНЫМИ АТРИБУТАМИ

С. 113–122.
Платунов А. И., Lyadova L. N.

The goal of the project is to develop tools for generating and processing event logs including additional attributes for analyzing processes with Process Mining tools. Implementation are based on low-code principles. This enables non-programmers to develop their own data processing rules for generating and preprocessing event logs with additional attributes. The core of the system is a multifaceted ontology, including descriptions of rules (functions) and data. The research prototype of the application implements algorithms for parsing descriptions of the rules and their interpretation. Generated logs are saved in the formats used by Process Mining tools. The developed prototype illustrates the practical significance of the proposed approach.

Language: Russian
Full text
Keywords: process miningанализ процессовжурналы событийevent logs event log generationmultifaceted ontologyмногоаспектная онтологияevent attributesrules interpreterrules designerатрибуты событийгенерация журнала событийконструктор правилинтерпретатор правил

In book

ТЕХНОЛОГИИ РАЗРАБОТКИ ИНСТРУМЕНТАЛЬНЫХ СРЕДСТВ (ТРИС-2023): материалы конференции
Таганрог: Издательство ЮФУ, 2023.
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