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July 24, 2026
‘I Like Self-Fulfilling Prophecies
Andrey Vorchik studies happiness, delivers popular science lectures, and believes that science should address social issues as well. In an interview for the Young Scientists of HSE University project, he spoke about how emotions influence decision-making, the Bermuda Triangle formed by the bathroom, refrigerator, and bed, and the ideal formula for education.
July 24, 2026
'Physics Is What the World Is Literally Built On'
Physicist Nina Dzhanayeva, recipient of a Vladimir Potanin Foundation scholarship, focuses her research on nanophotonics. In this interview for the HSE Young Scientists project, she discusses nanowells, scientific intuition, and how physics can help in making frangipane cream puffs.
July 20, 2026
Scientists Create Open Dataset for Studying Concentration
A team of Russian researchers, including scientists from HSE University–St Petersburg, has developed the first open multimodal dataset containing recordings of brain activity, heart function, and video observations to help researchers understand what happens in the human brain during deep concentration. In the future, the dataset could accelerate the development of neural interfaces, rehabilitation technologies, and AI systems. The article has been published in Scientific Data.

 

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Проектирование качества швейных изделий с применением искусственного интеллекта

Научный журнал «Костюмология» (Journal of Clothing Science), Российская Федерация. 2021. Т. 6. № 2. С. 1–14.
Туханова В. Ю.

This article provides an overview of existing methods for assessing the quality of garments at the stage of design. The article considers the absolute, product-oriented, consumer-oriented, producer-oriented and value-based approaches to classification of quality criteria for the design and manufacturing of light industry products. The author analyzed traditional models for assessing the quality of garments, including methods of expert assessments. The article deals with a set of indicators that determine the quality of garments. The list of indicators includes the perfection of the technical and aesthetic performance of the product, socio-economic indicators, functionality, functional reliability and safety of a garment. A conceptual model for designing the quality of a garment was developed by the author. The process is presented in the form of a function, the arguments of which are the organization of the process of designing and manufacturing a garment; garment manufacturing; confectioning of materials; garment operating conditions; garment’s design parameters; garment manufacturing technology; garment pricing; social factors. The article provides a rationale for using artificial intelligence technologies to solve the problems of selecting optimal design proposals, manufacturing technology, materials and other parameters. The article also considers possibilities of a three-dimensional clothing design digital platform, which contains a range of technical characteristics that ensure the implementation of a conceptual model for designing a garment quality, including design and technological documentation for the production of a batch of products; artistic-aesthetic and physical-mechanical properties of materials; garment’s design parameters; garment pricing in terms of the materials and accessories costs. The author proposes ways of introducing artificial intelligence technologies into the process of quality assessment in the garments design.

Research target: Materials Technologies Engineering and Technology
Priority areas: engineering science
Language: Russian
Full text
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Keywords: проектированиетехнологияtechnologydesignquality качествоartificial intelligenceигровой искусственный интеллектgarmentsquality assessment methodsшвейные изделияметоды оценки качества
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