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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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Функциональный и процессный подход к выполнению заказов при обслуживании клиентов (Часть 2)

Логистика. 2016. № 3. С. 42–47.
Dybskaya V., Постернакова В.И.

AnnotAtion. In the article authors compare two fundamental approaches to order fulfillment. First one is traditional functional approach where «order management» is a logistics function. On the other hand, process centric approach considers «order fulfillment» like key business process in supply chain management. Researchers investigate typical problems in core steps of order fulfillment process and its key performance indicators. In the context of process centric approach authors suggest allocation of responsibility between main supply chain agents on strategic and operational level of «order fulfillment» process. Moreover, researchers identify coordination mechanisms on the main steps of analyzed process. In addition, they give comparative analysis of different approaches to efficiency evaluation of order fulfillment process.

Priority areas: management
Language: Russian
Full text
Keywords: логистикапроцессный подходфункциональный подходorder managementуправление заказами клиентов logistics supply chain managementfunctional approachorder fulfillmentprocess centric approach
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