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News
July 2, 2026
Researchers Discover How Spelling Errors Slow Down Reading in Russian
Psycholinguists from the Centre for Language and Brain at HSE University–St Petersburg have shown that words that are frequently misspelled are processed more slowly by readers, even when presented with the correct spelling. The researchers confirmed this effect for the first time using Russian-language materials and found that response speed is most strongly linked to how confidently individuals can distinguish the correct spelling of a word from an incorrect one. The study has been published in The Mental Lexicon.
July 2, 2026
HSE Develops App for Assessing Phonological Processing in Children
Researchers at the HSE Centre for Language and Brain have developed a new digital tool for assessing children's phonological processing skills—the ZARYA (Sound Analysis of the Russian Language) test battery. It is the first standardised application in Russia designed to provide a fast and reliable assessment of children's ability to distinguish speech sounds, retain them in working memory, and perform phonemic analysis. The app runs on Android tablets and smartphones and is available for download from RuStore. Details of the test validation have been published in the Journal of Speech, Language, and Hearing Research.
July 1, 2026
Scientists Discover Why Europium 'Misbehaves'
Europium is a rare-earth metal responsible for the pure red glow in displays and other luminescent materials. For a long time, however, it refused to emit light when surrounded by certain organic molecules known as acylpyrazolone ligands. Chemists have now uncovered the reason: in europium complexes with these ligands, a 'black window' appears—a charge-transfer state in which the energy absorbed by the ligand is dissipated as heat rather than emitted as light. Understanding this mechanism opens the way to designing more efficient red-emitting materials for displays, fluorescent thermometers, and chemical sensors. The results have been published in Dalton Transactions.

 

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Proceedings of the 31st International Conference on Computer Graphics and Vision (GraphiCon 2021). Nizhny Novgorod, Russia, September 27-30, 2021

Vol. 3027. CEUR Workshop Proceedings, 2021.
Under the general editorship: V. Galaktionov, A. Voloboy, A. Bondarev
Chapters
Queue Waiting Time Estimation Using Person Re-identification by Upper Body
Konushin A., Mamedov T., Kuplyakov D., , in: Proceedings of the 31st International Conference on Computer Graphics and Vision (GraphiCon 2021). Nizhny Novgorod, Russia, September 27-30, 2021Vol. 3027.: CEUR Workshop Proceedings, 2021. P. 464–474.
In this paper, we propose a new approach to estimating waiting time in queue based on object tracking and person re-identification by upper body. The task we are considering is practically important in video analysis, because this data can be used for predictive analytics and improvement of customer services. The main idea of the proposed ...
Added: November 25, 2022
Automatic detection of certain unwanted driver behavior
Faizov B., Vlad Shakhuro, Konushin A., , in: Proceedings of the 31st International Conference on Computer Graphics and Vision (GraphiCon 2021). Nizhny Novgorod, Russia, September 27-30, 2021Vol. 3027.: CEUR Workshop Proceedings, 2021. P. 422–432.
This work is devoted to the automatic detection of unwanted driver behavior such as smoking, using a mobile phone, and eating. The various existing datasets are practically unsuitable for this task. We did not find suitable training data with RGB video sequences shot from the position of the inner mirror. So we investigated the possibility ...
Added: November 25, 2022
Operator’s Gaze Direction Recognition
Popov A., Shakhuro V., Konushin A., , in: Proceedings of the 31st International Conference on Computer Graphics and Vision (GraphiCon 2021). Nizhny Novgorod, Russia, September 27-30, 2021Vol. 3027.: CEUR Workshop Proceedings, 2021. P. 475–487.
This work is devoted to the algorithm for recognizing the direction of a operator’s gaze. The paper considers the method of classifying the direction of gaze. The algorithm proposed in this paper allows to determine the driver’s gaze direction, which helps to protect the driving process. In the proposed work, we reviewed the algorithms and ...
Added: November 25, 2022
Practical People Counting Algorithm
Mamedov T., Kuplyakov D., Konushin A., , in: Proceedings of the 31st International Conference on Computer Graphics and Vision (GraphiCon 2021). Nizhny Novgorod, Russia, September 27-30, 2021Vol. 3027.: CEUR Workshop Proceedings, 2021. P. 453–463.
In this paper, we consider the problem of people counting in video surveillance. This is an important task in video analysis, because this data can be used for predictive analytics and improvement of customer services, traffic control, etc. The proposed methods are based on object tracking and are able to work on sparse frames, which ...
Added: November 25, 2022
Rare Traffic Signs Recognition
Badmaev T., Shakhuro V., Konushin A., , in: Proceedings of the 31st International Conference on Computer Graphics and Vision (GraphiCon 2021). Nizhny Novgorod, Russia, September 27-30, 2021Vol. 3027.: CEUR Workshop Proceedings, 2021. P. 488–495.
Added: November 25, 2022
Research target: Computer Science
Language: English
Keywords: computer visioncomputer graphicsimage processing
Proceedings of the 31st International Conference on Computer Graphics and Vision (GraphiCon 2021). Nizhny Novgorod, Russia, September 27-30, 2021
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Added: June 27, 2026
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Added: June 27, 2026
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The article proposes the architecture for eventdriven Emergency Operation Center with Machine Vision Component. Sources of information are analyzed and approaches to machine vision events for tactical situations detection and estimation are discussed. Messages from Machine Vision Components are converted to Common Alerting Protocol and processed by Operation Center environment for tactical situations recognition. ...
Added: June 26, 2026
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This work contains a description of the results of modeling the process of maintaining the readiness of a section of the road network under strikes of with specified parameters. A one-dimensional section of road up to 40 km long with a total number of strikes up to 100 during the work of the brigade is ...
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Подход к оценке динамики уровня консолидированности отрасли
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In this article we propose a new approach to the analysis of econometric industry parameters for the industry consolidation level. The research is based on the simple industry automatic control model. The state of the industry is measured by quarterly obtained econometric parameters from each industry’s company provided by the tax control regulator. An approach ...
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Цифровой двойник полностью автоматизированного склада с глубокими стеллажами
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The paper presents models for an innovative fully robotic warehouse for storing boxed goods. A discrete multiagent simulation of the movement of shuttles in a warehouse for a given sequence of pallet shipments has been implemented. Different strategies for placement of boxes in various areas of a warehouse are evaluated, as well as optimal routing ...
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Density functional theory (DFT) is the workhorse of modern reactions and materials modeling. While the exact functional remains unknown, many approximations to it have been constructed either by hand-crafting functional forms to satisfy exact constraints or by machine learning. In this work, we show how both of these approaches can be fused to build both ...
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This article presents a model of a fully automated warehouse with deep storage racks designed for boxed goods storage. The study focuses on optimizing warehouse operations through discrete multiagent simulation of shuttle movements for pallet loading and unloading tasks. The authors investigate various product placement strategies, including the Nearest Channel Positioning Algorithm (NCPA), Most Empty ChannelGroup Placement (MECGP), and ...
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A machine learning dataset on winter roads of Krasnoyarsk Krai, Russia for the forestry and infrastructural projects
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Machine learning in transport modeling has become a trend in science and industry. In this paper, we observe its main directions and focus on a dataset of seasonal road creation. Seasonality as a parameter in transport modeling has a significant impact on transport scenarios but is underestimated worldwide and in Russia, despite modern data challenges. ...
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