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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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Proceedings of 2021 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS)

IEEE, 2021.

Presents the back cover of the proceedings record.

Published in: 2021 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS)

Date of Conference: 21-24 April 2021

Date Added to IEEE Xplore: 14 May 2021

ISBN Information:

DOI: 10.1109/IEMTRONICS52119.2021.9422561

Publisher: IEEE

Conference Location: Toronto, ON, Canada

Chapters
Blockchain Technology to Manage the Energy Supply of Real Estate
Belov Aleksandr, Slastnikov S., , in: Proceedings of 2021 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS).: IEEE, 2021. P. 1–5.
In the framework of creating a digital ecosystem of commercial real estate objects, the main problem is the formation of a digital environment for managing all components of engineering systems that ensure the vital activity of the real estate object. The aim of this work is to develop a system for accounting for mutual settlements for ...
Added: May 15, 2021
Research target: Engineering and Technology
Language: English
DOI
Text on another site
Keywords: electronicsInternet of Things (IoT)mechatronics,
Proceedings of 2021 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS)
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