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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 the International Conference on Electrical and Computer Systems ICECS'12

Ottawa : International ASET Inc, 2012.

The International Academy of Science, Engineering and Technology (International ASET Inc.) is pleased to organize the 2012 International Conference on Electrical and Computer Systems (ICECS'12).

ICECS is a comprehensive conference covering all the various topics of Electrical Engineering, Electronics, Computer Sciences and Engineering, and Information Technologies. The aim of the ICECS 2012 is to gather scholars from all over the world to present advances in the aforementioned fields and to foster an environment conducive to exchanging ideas and information. This conference will also provide a golden opportunity to develop new collaborations and meet experts on the fundamentals, applications, and products of Electrical, Electronics, Computer, and Information Systems. We believe inclusive and wide-ranging conferences such as ICECS can have significant impacts by bringing together experts from the different and often separated fields of Electrical, Electronics, Computer, and Information Systems, creating unique opportunities for collaborations and shaping new ideas for experts and researchers.

Chapters
Verification of MCU-Based Systems Software on an SDVRP Platform
Shershakov S., , in: Proceedings of the International Conference on Electrical and Computer Systems ICECS'12.: Ottawa: International ASET Inc, 2012. P. 207-1–207-8.
The SLAM-based Static Driver Verifier Research Platform (SDVRP), as a tool that systematically analyzes source code and allows writing custom SLIC rules for various platforms, provided a potent verification mechanism for an embedded software system based on ARM Cortex-M0 microprocessor. The correctness of this software is of particular importance in the sense that there are ...
Added: March 14, 2013
Priority areas: IT and mathematics mathematics engineering science
Language: English
Keywords: SDVRP
Proceedings of the International Conference on Electrical and Computer Systems ICECS'12
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Verification of MCU-Based Systems Software on an SDVRP Platform
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The SLAM-based Static Driver Verifier Research Platform (SDVRP), as a tool that systematically analyzes source code and allows writing custom SLIC rules for various platforms, provided a potent verification mechanism for an embedded software system based on ARM Cortex-M0 microprocessor. The correctness of this software is of particular importance in the sense that there are ...
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