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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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2020 43rd International Conference on Telecommunications and Signal Processing (TSP)

IEEE, 2020.
Editor-in-chief: N. HERENCSAR

2020 43rd International Conference on Telecommunications and Signal Processing (TSP), IEEE Conference Record #49548, which is held during July 7-9, 2020, in Milan, Italy (virtual event), we would like to welcome you in this event and thank you for your personal support and for your papers, which are published in the proceeding. In this respect, we would congratulate you for your success since every paper has been carefully reviewed by at least two international referees. In cooperation with the Technical Co-Sponsors, IEEE Region 8 (Europe, Middle East and Africa), IEEE Italy Section, Italy Section SP Chapter, Italy Section VT/COM Joint Chapter, IEEE Czechoslovakia Section, IEEE Czechoslovakia Section SP/CAS/COM Joint Chapter, Scientific Association for Infocommunications, a Sister Society of the IEEE and the IEEE Communications Society, Media Partners, Applied Sciences, Remote Sensing, and Sensors - open access journals by MDPI, International Journal of Advances in Telecommunications, Electrotechnics, Signals and Systems (IJATES2 ), the TSP 2020 is organized by eighteen universities from Czech Republic, Hungary, Turkey, Croatia, Taiwan, Japan, Slovak Republic, Spain, Bulgaria, France, Romania, Slovenia, Greece, and Poland, for academics, researchers, and developers and it serves as a premier annual international forum to promote the exchange of the latest advances in telecommunication technology and signal processing. The aim of the conference is to bring together novice and experienced scientists, developers, and specialists, to meet new colleagues, collect new ideas, and establish new cooperation between research groups from universities, research centers, and private sectors. The TSP Conference goes back to 1977, when it was the first time initially organized by enthusiasts from the Department of Telecommunications of Brno University of Technology as a national meeting held in Brno. Because of the success of the first event it was also repeated in 1978 and this annual repetition of the conference became a tradition. In the 1980s, TSP was transformed into an international conference and was opened also to participants from around the word. In the 1990s, during the years of economic transformation in the Czech Republic, TSP extended its base of supporters also by commercial entities active in different fields of telecommunications. In 2008, in cooperation with BME Hungary, the TSP Conference was first time organized abroad. To extend the cooperation between European Universities, in 2011 the organizing committee was joined by other six universities i.e. CTU Czech Republic, KTU Turkey, STU Slovak Republic, UL Slovenia, VSB Czech Republic, ZUT Poland, which was since 2015 extended worldwide by Seikei University in Japan, TU-Sofia Bulgaria, University of Osijek in Croatia, Isik University Turkey, ITU Turkey, NTUST Taiwan, Tecnocampus Spain, and Université Paris 8 in France, etc. During the 43rd edition of TSP we are grateful for their contributions and support.

Chapters
Improving the Precision of Wireless Localization Algorithms: ML Techniques for Indoor Positioning
Masek P., Sedlacek P., Ometov A. et al., , in: 2020 43rd International Conference on Telecommunications and Signal Processing (TSP).: IEEE, 2020. P. 589–594.
Due to the tremendous increase in the number of wearable devices and proximity-based services, the need for improved indoor localization techniques becomes more significant. The evolution of the positioning from a hardware perspective is pacing its way along with various software-based approaches also powered by Machine Learning (ML). In this paper, we apply ML algorithms ...
Added: October 8, 2020
Real-Time 3D Model Reconstruction and Mapping for Fashion
Makarov I., Daniil Chernyshev, , in: 2020 43rd International Conference on Telecommunications and Signal Processing (TSP).: IEEE, 2020. P. 133–138.
Recent developments in the apparel market created new tasks for computer vision application. One such challenge is designing a system for trying on clothes virtually in real-time. Proposed solutions require setting up a special stationary system for body capture and mostly generate animated avatar instead of overlaying the garments in real-time. We propose a framework ...
Added: October 27, 2020
Priority areas: IT and mathematics business informatics mathematics engineering science
Language: English
DOI
Text on another site
Keywords: telecommunicationsmachine learning techniquesDistributed ledger signal processing
2020 43rd International Conference on Telecommunications and Signal Processing (TSP)
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