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August 25, 2026
Scientists Develop Algorithm for More Reliable Processors in Data Centres
Researchers from HSE MIEM and Samara University have developed the LRF-3D algorithm to automatically bypass idle nodes in three-dimensional networks-on-chip. Thanks to its hierarchical architecture, the algorithm outperforms existing solutions in both speed and path accuracy, improving processor reliability for use in data centres, supercomputers, and AI computing. The source code and test results are publicly available.
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The International Laboratory for Social Integration Research (ILSIR) at HSE University studies the challenges faced by vulnerable groups and explores ways to help them participate fully in everyday life. To develop effective solutions, the laboratory’s researchers combine cutting-edge methods with practical fieldwork. In this interview with the HSE News Service, Laboratory Head Elena Iarskaia-Smirnova discusses the laboratory’s work.

 

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Decision Support System for Resolving Incidents in Information Systems, Based on the Ontological Approach

P. 465–469.
V.A. Starykh, A.A. Karasev

Paper reviews problems of developing the ontological approach-based incident management system (IMS) of decision support system for resolving incidents in information systems. It supports decision-making in variety of subject domains, for example, while training the service staff and system administrators, who are responsible for operation and management of complex information systems. In this case, the incident management system is based on the ontological approach and semiotic modeling. The semiotic model of subject domain under consideration is presented in the form of a graph, where graph vertices are interpreted as objects, and graph edges are interpreted as relations between them. The classification principles used in incident recording are proposed.

Language: English
DOI
Text on another site
Keywords: ontologyclassificationdecision support systemIncident managementsubject domain

In book

2017 XX IEEE International Conference on Soft Computing and Measurements (SCM 2017)
V.A. Starykh, A.A. Karasev Institute of Electrical and Electronics Engineers Inc., 2017.
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