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.
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.
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.
Suhanova G., Titov V. N., Управление персоналом и интеллектуальными ресурсами в России 2015 № 4 С. 5–15
Knowing of the history of profession is the basis of career self-identifi cation. The authors off er a series of research devoted to the study of the origin and evolution of such concepts as administration, management and HR-management. The fi rst part will study the problem of periodization of the history of management as a ...
Sverchkov P., Логистика и управление цепями поставок 2013 № 5 С. 16–28
In 2012, gross retail sales volumes finally reached and exceeded the pre-crisis period of 2008. The industry is fully recovered from the recession, and majors set new milestones for business growth. Therefore the important task for logisticians in retail companies is to analyze main stages and projections for industry development, strengths and weaknesses of chosen ...