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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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Communications in Computer and Information Science

Vol. 767: New Trends in Databases and Information Systems. Springer, 2017.
Under the general editorship: M. Kirikova, K. Nørvåg, G. Papadopoulos, J. Gamper, R. Wrembel, J. Darmont, S. Rizzi

ADBIS 2017 Short Papers and Workshops, AMSD, BigNovelTI, DAS, SW4CH, DC, Nicosia, Cyprus, September 24–27, 2017, Proceedings

Chapters
Workload-Independent Data-Driven Vertical Partitioning
Bobrov N., Chernishev G., Novikov B., , in: Communications in Computer and Information ScienceVol. 767: New Trends in Databases and Information Systems.: Springer, 2017. P. 275–284.
Vertical partitioning is a well-explored area of automatic physical database design. The classic approach is as follows: derive an optimal vertical partitioning scheme for a given database and a workload. The workload describes queries, their frequencies, and involved attributes. In this paper we identify a novel class of vertical partitioning algorithms. The algorithms of this class ...
Added: February 13, 2019
Language: English
DOI
Text on another site
Keywords: Databases and Information Systems
Communications in Computer and Information Science
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Array DBMSs manage big N-d arrays, are not yet widely known, but are experiencing an R&D surge due to the rapid growth of array volumes. Cellular automata (CA) operate on a discrete lattice of cells that can be modeled by an N-d array. CA are successfully applied to model fire spread, land cover change, road ...
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SIGMOD/PODS '21: Proceedings of the 2021 International Conference on Management of Data
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Frontiers in Artificial Intelligence and Applications
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Databases and information systems are now indispensable for the day-to-day functioning of businesses and society. This book presents 25 selected papers from those delivered at the 12th International Baltic Conference on Databases and Information Systems 2016 (DB&IS 2016), held in Riga, Latvia, in July 2016. Since it began in 1994, this biennial conference has become an ...
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Lecture Notes in Computer Science
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Databases and Information Systems X Selected Papers from the Thirteenth International Baltic Conference
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The importance of databases and information systems to the functioning of 21st century life is indisputable. This book presents papers from the 13th International Baltic Conference on Databases and Information Systems, held in Trakai, Lithuania, from 1- 4 July 2018. Since the first of these events in 1994, the Baltic DB&IS has proved itself to be ...
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Proceedings of the Institute for System Programming of the RAS
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Proceedings of ISP RAS are a double-blind peer-reviewed journal publishing scientific articles in the areas of system programming, software engineering, and computer science. The journal's goal is to develop a respected network of knowledge in the mentioned above areas by publishing high quality articles on open access. The journal is intended for researchers, students, and ...
Added: September 14, 2016
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