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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
'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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On effectiveness of message retransmission in wireless sensor networks

Ch. 50. P. 396–403.
Furmanov K.K., Nikolsky I. M.

Unrealibility of radio communication is an important issue for wireless sensor networks. Message retransmission is a common remedy for data loss in such networks. Present paper is devoted to research of number of retransmissions necessary for succesful message deliver. We introduce a simple method for determinig this number based on statistical analysis of data loss.Our method was implemented in the form of protocol for data gathering from working node to the main node. The protocol was tested on a pair of nodes built on Arduino board and NRF24 transciever. Our experiments show that proposed method reduces data loss significantly.

Language: English
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Keywords: wireless sensor networksArduinoNRF24retransmission

In book

Distributed Computer and Communication Networks: Control, Computation, Communications (DCCN-2020). Proceedings of the XXIII International Conference.
M.: ISC RAS, 2020.
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