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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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Proceedings 16th Russian Conference on Artificial Intelligence (RCAI 2018)

Issue 934. Cham : Springer, 2018.
Academic editor: Kuznetsov S., Osipov G., V. Stefanuk

This book constitutes the proceedings of the 16th Russian Conference on Artificial Intelligence, RCAI 2018, Moscow, Russia, in September 2018. 

The 22 full papers presented along with 4 short papers in this volume were carefully reviewed and selected from 75 submissions. The conference deals with a wide range of topics, including data mining and knowledge discovery, text mining, reasoning, decision making, natural language processing, vision, intelligent robotics, multi-agent systems, machine learning, ontology engineering.

Chapters
eLIAN: Enhanced Algorithm for Angle-Constrained Path Finding
Natalia Soboleva, Konstantin Yakovlev, , in: Proceedings 16th Russian Conference on Artificial Intelligence (RCAI 2018)Issue 934.: Cham: Springer, 2018. P. 206–217.
Problem of finding 2D paths of special shape, e.g. paths comprised of line segments having the property that the angle between any two consecutive segments does not exceed the predefined threshold, is considered in the paper. This problem is harder to solve than the one when shortest paths of any shape are sought, since the ...
Added: August 14, 2019
Advanced Planning of Home Appliances with Consumer’s Preference Learning
Bazenkov N., Goubko M., , in: Proceedings 16th Russian Conference on Artificial Intelligence (RCAI 2018)Issue 934.: Cham: Springer, 2018.
For modern energy markets it is typical to use dynamic real-time pricing schemes even for residential customers. Such schemes are expected to stimulate rational energy consumption by the end customers, provide peak shaving and overall energy efficiency. But under dynamic pricing planning a household’s energy consumption becomes complicated. So automated planning of household appliances is ...
Added: December 2, 2019
Spatial Reasoning and Planning in Sign-Based World Model
Kiselev G., Kovalev A., Panov A., , in: Proceedings 16th Russian Conference on Artificial Intelligence (RCAI 2018)Issue 934.: Cham: Springer, 2018. P. 1–10.
The paper discusses the interaction between methods of modeling reasoning and behavior planning in a sign-based world model for the task of synthesizing a hierarchical plan of relocation. Such interaction is represented by the formalism of intelligent rule-based dynamic systems in the form of alternate use of transition functions (planning) and closure functions (reasoning). Particular ...
Added: October 30, 2020
Priority areas: IT and mathematics
Language: English
DOI
Text on another site
Keywords: probabilitysemanticspattern recognitiongenetic algorithmsfuzzy logicdata miningsoftware engineeringmulti-agent systemsmachine learningontologiesfuzzy setsartificial neural networksartificial intelligenceLogic Programmingfuzzy systemsgraph theoryclustering algorithmsStructural Design
Publication based on the results of:
Well-interpretable Methods of Knowledge Discovery and Knowledge Representation (2018)
Proceedings 16th Russian Conference on Artificial Intelligence (RCAI 2018)
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