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  • ОБЗОР ПОДХОДОВ К ПОСТРОЕНИЮ БАЗ ДАННЫХ ПО ЛАБОРАТОРНЫМ ИСПЫТАНИЯМ ГОРНЫХ ПОРОД
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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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ОБЗОР ПОДХОДОВ К ПОСТРОЕНИЮ БАЗ ДАННЫХ ПО ЛАБОРАТОРНЫМ ИСПЫТАНИЯМ ГОРНЫХ ПОРОД

Горный информационно-аналитический бюллетень (научно-технический журнал). 2025. № 4. С. 152–169.
Krayushkin D. V., Казначеев П. А., Белобородов Д. Е., Пономарев А. В., Индаков Г. С.

Lab-scale rock testing includes processing of a huge variety of information. The increase in the number of tests, measured properties and other related information requires advanced approaches to such data processing and storage in the context of both data model architecture and modern tools of data base control. This study focuses on the current situation in the area of development of a data base and processing tools in the Earth’s sciences. The data bases on rock samples in the Earth’s sciences can be conventionally divided into two types: geological information and lab-scale test data. The literature review shows that today there are only a few publications on the development of data bases from tests of rock samples and they mainly address specific and narrow-range solutions (for instance, a web-interface on acquisition of data on mineral samples). The features of these specific solutions are discussed in the article.

Language: Russian
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Keywords: база данныхбольшие данныелитературный обзорbig datadata baseлабораторные эксперименты literature reviewdestructive testsearthquake physicslab-scale experimentsrocksгорные породыфизика землетрясенийразрушающие испытания
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