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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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III International Conference "Engineering & Telecommunication En&T 2016"

MIPT, 2016.
Under the general editorship: E. Pavlyukova, L. K. Uzhinskay, Z. Syroyegina

Proceedings of the III International conference  "Engineering&Telecommunication - En&T 2016", MIPT, Dolgoprudny, November 29-30 

Chapters
The main functionality of smart learning system
Avdeeva Z., Giri C., В кн.: III International Conference "Engineering & Telecommunication En&T 2016".: MIPT, 2016. С. 225–231.
Designing a smart environment is, first of all, based on adapting and filtering the educational environment to fit a student's cultural-cognitive and competence profile. Thus, we can see, that on the 1st level it is essential to develop cultural intellect of the participants of educational communication. The 2nd level involves designing the EEE, with its ...
Added: December 8, 2016
Priority areas: IT and mathematics engineering science
Language: Russian
Keywords: инжинирингInformation Technologie, Telecommunication System, Intelligent SystemИнформационные технологии и телекоммуникации Engineering Systems
III International Conference "Engineering & Telecommunication En&T 2016"
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