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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
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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?
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Применение технологии BodyCom в системах контроля доступа

С. 379–381.
Khromov I. A.

The paper is devoted to the use of wireless technology BodyCom in access control systems. Its advantages over RFID and biometric authentication methods in access control systems widely used at present are considered. The possibility of using the BodyCom technology in access control systems is explored experimentally. The architecture of the experimental system consisting of basic and mobile modules, control unit, electromechanical lock is presented. The photo of the system model, the results of the experiment and conclusions are made about the possibility of applying BodyCom technology in access control systems.

Language: Russian
Full text
Keywords: access controlуправление доступомauthenticationаутентификацияBodyCom technologyIntrabody CommunicationСКУДсвязь по телутехнология BodyCom
Publication based on the results of:
Основы теории энергоэффективного взаимодействия автономных устройств в рамках парадигмы интернета вещей (2017)

In book

Распределенные компьютерные и телекоммуникационные сети: управление, вычисление, связь (DCCN-2017): материалы 20-межд. науч. конф., 25-29 сент. 2017 г., Москва
Распределенные компьютерные и телекоммуникационные сети: управление, вычисление, связь (DCCN-2017): материалы 20-межд. науч. конф., 25-29 сент. 2017 г., Москва
М.: Рекламно-издательский центр "ТЕХНОСФЕРА", 2017.
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