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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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Gestione dell'acqua in Europa (XII-XVIII Secc.) / Water Management in Europe (12th-18th centuries)

Vol. 49. Firenze : Firenze University Press, 2018.
Academic editor: G. Nigro

The works published in this series represent the collected original research works initiated by the “F. Datini” International Institute of Economic History (Fondazione Istituto Internazionale di Storia Economica “F. Datini”), based on a project launched by its scientific bodies. The authors are chosen following a Call for Papers indicating the scientific objectives of the project; the selection is performed on the basis of detailed proposals containing indications regarding the researched economic history topics, the area and historical period considered, as well as the sources used.

Chapters
Water Management in Russian Monasteries, 16th-18th cc.
Kraikovski A., Dadykina M., Kalemeneva E., , in: Gestione dell'acqua in Europa (XII-XVIII Secc.) / Water Management in Europe (12th-18th centuries)Vol. 49.: Firenze: Firenze University Press, 2018. Ch. 15 P. 319–336.
In this paper the authors consider three cases of monastic water management that conformed to specitic spatial configurations necessary for monastic life and an ideal Christian existance. The goal is to study constructed religious environments, or the cretaion of particular religious spaces.The chapter argues  that there was an interconnectedness between the spirit of the monastic enterprise ...
Added: June 9, 2018
Priority areas: humanitarian
Language: English
Keywords: водные ресурсыуправление ресурсамиwater management
Gestione dell'acqua in Europa (XII-XVIII Secc.) / Water Management in Europe (12th-18th centuries)
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