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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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16th international multidisciplinary scientific geoconference SGEM 2016 Conference proceedings

Vol. 3: Recycling, air pollution & climate change, modern energy and power sources. Book 4: Energy and clean technologies. Wien : 2016.
Chapters
Optimal design methods of wind-solar hybrid power systems at the stage of investment feasibility study
Ермоленко Г. В., Ермоленко Б. В., Фетисова Ю. А., , in: 16th international multidisciplinary scientific geoconference SGEM 2016 Conference proceedingsVol. 3: Recycling, air pollution & climate change, modern energy and power sources. Book 4: Energy and clean technologies.: Wien: [б.и.], 2016. P. 305–312.
The article is devoted to development of optimal design mathematical models for power systems using renewable energy sources (RES) on the stage of pre-investment feasibility study. Economic and social practicability of the carbon-free energy sector development in Russia is confirmed by calculated data of renewable energy sources potentials such as  fuel, heat and power, resource ...
Added: February 17, 2017
Research target: Construction Mechanics and Mechanical Engineering Effective Natural Resource Management
Priority areas: engineering science
Language: English
Keywords: recyclingair pollutionclimate changerenewable energy
16th international multidisciplinary scientific geoconference SGEM 2016 Conference proceedings
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Perovskite nanoparticles Cs4PbBr6 and CsPbBr3: synthesis, analysis and peculiar optical properties
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Persistent illegal sturgeon fishing in the Caspian Sea
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Soil Temperature, Organic-Carbon Storage, and Water-Holding Ability Should Be Accounted for the Empirical Soil Respiration Model Selection in Two Forest Ecosystems
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Added: April 24, 2026
European Union and Certain Member States — Certain Measures Concerning Palm Oil and Oil Palm Crop-Based Biofuels (Malaysia); European Union — Certain Measures Concerning Palm Oil and Oil Palm Crop-Based Biofuels (Indonesia), Panel Report
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This is a case note of two WTO panel reports in recent Palm Oil disputes. After providing an overview of the panel findings under Article 2.1 of the TBT Agreement, the note discusses what appears to be a modified legal standard for non-discrimination applied by the panel under this provision and the continued use of ...
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The heat consumption of residential buildings is a stochastic series. It is necessary for the design of thermal energy regulators the creation of a neural network model. In the paper, the model is carried out based on Long Short-Term Memory (LSTM). The high accuracy of reproducing the series was achieved by training the model on ...
Added: April 22, 2026
Algorithmic overlaps as thermodynamic variables: from local to cluster Monte Carlo dynamics in critical phenomena
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We investigate the spatial overlap of successive spin configurations in Markov chain Monte Carlo simulations using the local Metropolis algorithm and the Svendsen-Wang and Wolff cluster algorithms. We examine the dynamics of these algorithms for two models in different universality classes: the Ising model and the Potts model with three components. The overlap of two ...
Added: April 20, 2026
The partitioning of mobile fractions of chemical elements in the mineral loamy soils during natural regeneration after plowing in Western Russia
Enchilik P. R., G.V.Klink, Semenkov I. N., Science of the Total Environment 2025 Vol. 998 Article 180219
Natural regeneration of forest soils affected by agricultural practices is a common phenomenon in many regions worldwide, particularly in boreal ecosystems. Affecting soil quality, the partitioning of extractable fractions of heavy metals and metalloids (HMMs) is not studied during natural regeneration. The following stages of natural regeneration after plowing have been identified in the Smolenskoye ...
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Прогнозирование долговечности элементов шасси беспилотных транспортно-технологических средств с учётом влияния жесткостных параметров несущей системы
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Added: April 8, 2026
The Impact of Climate Change and Glacier Degradation on the Water Regime in the High-Mountain Part of the Terek River Basin
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Since the end of the Little Ice Age, glacier retreat has been recorded globally, with its rates steadily increasing. Glacier forelands serve as convenient areas for studying the patterns of biotic community formation during primary succession. Collembola (hereinafter – springtails) typically play key roles in primary successions, being among the first colonists of territories newly ...
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Added: January 27, 2026
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Added: December 30, 2025
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