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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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?

In Search of Greenium. Analysis of Yields in the European Green Bond Markets

.
Grishunin S., Bukreeva A. A.

The green bond market shows good potential to help mobilize financial sources towards sustainable investments. Green bonds are similar to conventional bonds but are specifically created to raise money to finance climate or other environmental projects. The relevance of the paper is underpinned by mixed evidence on the existence of ‘greenium in various corporate bond markets and lack of a clear understanding of the green bond yields’ determinants. The objective of the paper is to explore the existence and determinants of greenium in Europe. Our sample included 3,851 green and conventional bonds in the European debt markets over the period from 2007 to 2021. The results showed that the climate corporate bonds in Europe are priced at discount to the same-risk conventional corporate bonds. The magnitude of greenium in whole European green bond market was around 4 bps. However, we did not find the significant greenium in the green bond markets of the UK, France, Netherlands, and Germany. The conclusions of the research could lead to a better understanding of the green bond market for investors, regulators, and potential issuing companies.

Language: English
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Keywords: sustainable developmentESG green bonds greeniumEuropean green bond market

In book

9th International Conference on Information Technology and Quantitative Management
Issue 214. , Elsevier, 2022.
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