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News
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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6th International Conference on Information Technology and Quantitative Management

Issue 139: 6th International Conference on Information Technology and Quantitative Management. United States of America : Editions Elsevier, 2018.
Academic editor: Y. Shi, P. Wolcott, W. Kwak, Z. Chen, Y. Tian, H. Lee

Welcome to the Sixth International Conference on Information Technology and Quantitative Management (ITQM 2018), October 20-21, 2018, Omaha, Nebraska, USA. The theme of ITQM 2018 is "Advanced Information Technology and Global Business Competition". ITQM 2018 is organized by International Academy of Information Technology and Quantitative Management (IAITQM) and University of Nebraska at Omaha, USA. IAITQM was formally inaugurated on June 3, 2012 with more than 50 founding members from China, United States, Australia, Japan, Lithuania, Poland, Romania, Spain, Singapore, South Korea, The Netherlands, Turkey and other countries. The International Conference on Information Technology and Quantitative Management (ITQM), established by IAITQM, is a global forum for exchanging research findings and case studies that bridge the latest information technology and quantitative management techniques. It explores how the use of information technology to improve quantitative management techniques and how the development of management tools can reshape the development of information technology. The First International Conference on Information Technology and Quantitative Management (ITQM 2013) took place in Suzhou, China. The Second International Conference on Information Technology and Quantitative Management (ITQM 2014) was held in Moscow, Russia. The Third International Academy of Information Technology and Quantitative Management (ITQM 2015) was held at Rio de Janeiro, Brazil. The Forth International Academy of Information Technology and Quantitative Management (ITQM 2016) was held at Asan, Korea. The Fifth International Academy of Information Technology and Quantitative Management (ITQM 2017) was held at New Delhi, India. 
 

Chapters
Credit ratings patterns for BRICS industrial companies
Dyatchkova N., Grishunin S., Karminsky A. M., , in: 6th International Conference on Information Technology and Quantitative ManagementIssue 139: 6th International Conference on Information Technology and Quantitative Management.: United States of America: Editions Elsevier, 2018. P. 17–24.
The main goal of this paper is to study interconnections between credit ratings and financial indicators of industrial companies from BRICS countries. We use method of patterns, one of the modern methods of nonlinear modeling, to identify groups of heterogeneous objects with different influence on ratings. Additionally, in this research, we evaluate Tobit regression model ...
Added: November 15, 2019
Research target: Economics and Management Computer Science
Priority areas: economics IT and mathematics
Language: English
DOI
Text on another site
Keywords: Quantitative management tools
6th International Conference on Information Technology and Quantitative Management
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Added: April 3, 2026
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