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August 13, 2026
‘Working with AI Solves a Wide Range of Engineering Problems
Artificial intelligence is a working tool based on a balanced combination of algorithms and engineering. Experts and doctoral students from the HSE Moscow Institute of Electronics and Mathematics explain how AI technologies can improve an application, device, or system, and what engineering tasks are solved in the process.
August 12, 2026
‘I Would Like My Research to Help Make the World a Calmer and Better Place
Whatever task Saraa Ali, Junior Research Fellow at the Laboratory of Methods for Big Data Analysis (LAMBDA) of the AI and Digital Science Institute (HSE Faculty of Computer Science), is working on, she thinks about how it can benefit people. She told the Young Scientists of HSE University project about her large family, diagnosing three-phase motors, and her dream of building a children’s home in her native country.
August 11, 2026
‘The Peak of Stupidity and ‘The Valley of Despair: HSE Economists Propose an Explanation for the Dunning–Kruger Effect
The Dunning–Kruger effect, which describes a sharp surge in self-confidence among beginners followed by an equally rapid decline as they gain experience, can be explained by the nature of the learning process and the acquisition of new knowledge. This conclusion was reached by Andrey Vorchik of the HSE Faculty of Economic Sciences together with independent researcher Murat Mamyshev. They developed a mathematical model of learning and demonstrated how subjective confidence is formed and changes as knowledge accumulates, as well as how teachers can reduce the ‘valley of despair’ experienced by learners.

 

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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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