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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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НАУЧНО-ТЕХНОЛОГИЧЕСКОЕ РАЗВИТИЕ ОТРАСЛИ РАСТЕНИЕВОДСТВА, ВКЛЮЧАЯ СЕМЕНОВОДСТВО И ОРГАНИЧЕСКОЕ ЗЕМЛЕДЕЛИЕ, НОВОСИБИРСКОЙ ОБЛАСТИ

Международный сельскохозяйственный журнал. 2021. № 5. С. 1–21.
Шелковников С. А., Petukhova M.
Research target: Agriculture, Forestry, and Fisheries Economics and Management
Language: Russian
Full text
DOI
Text on another site
Keywords: растениеводствоселекцияорганическое земледелиенаучно-технологическое развитие регионов
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Added: July 19, 2022
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Рудой Е. В., Petukhova M., Рюмкин С. В. et al., ИЦ НГАУ «Золотой колос», 2021.
В монографии собраны основные результаты работы двух Отраслевых центров прогнозирования и мониторинга научно-технологического развития АПК: в области растениеводства, семеноводства и органического земледелия (Новосибирский государственный аграрный университет), а также в области точного сельского хозяйства, автоматизации и роботизации (Кубанский государственный аграрный университет им. И.Т. Трубилина). Монография посвящена вопросу развития точного земледелия в России, в частности, приоритетным направления ...
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The article analyzes the existing system of state support for the scientific and technological development of the crop production industry in the Novosibirsk region. It is revealed that the support is provided from three main sources: the Ministry of Science and Innovation Policy of the Novosibirsk Region, the federal budget and the Ministry of Agriculture ...
Added: May 3, 2021
Селекция 2.0
Ivanov A., Куликов Р. С., Kharchenko M. et al., М.: Издательский дом НИУ ВШЭ, 2020.
В докладе представлены результаты исследовательского проекта "Селекция 2.0", направленного на изучение ключевых аспектов функционирования отрасли селекции и семеновоства в России. В рамках проекта проведен анализ текущей ситуации в отрасли, определены барьеры и узкие места в ее развитии, разработаны предложения по ее преодолению. Авторами впервые описана структура российского селекционного рынка по девяти культурам, приведены рейтинги сортов и ...
Added: December 21, 2020
Сценарии научно-технологического развития растениеводства, включая семеноводство и органическое земледелие России, до 2030 года
Petukhova M., В кн.: ПРОГНОЗ НАУЧНО-ТЕХНОЛОГИЧЕСКОГО РАЗВИТИЯ ОТРАСЛИ РАСТЕНИЕВОДСТВА, ВКЛЮЧАЯ СЕМЕНОВОДСТВО И ОРГАНИЧЕСКОЕ ЗЕМЛЕДЕЛИЕ РОССИИ, В ПЕРИОД ДО 2030 ГОДА.: НГАУ «Золотой колос», 2019. Гл. 7 С. 55–73.
В издании представлен прогноз научно-технологического развития отрасли растениеводства, включая семеноводство и органическое земледелие, до 2030 г., подготовленный Отраслевым центром прогнозирования и мониторинга научно-технологического развития АПК на базе Новосибирского государственного аграрного университета по заказу Министерства сельского хозяйства Российской Федерации при участии представителей ведущих научных организаций и экспертного сообщества. Цель прогноза – выявить наиболее перспективные области развития науки ...
Added: December 13, 2020
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