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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.
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MEDES '21: Proceedings of the 13th International Conference on Management of Digital EcoSystems

NY : Association for Computing Machinery (ACM), 2021.

During the past years, the International Conference on ManagEment of Digital EcoSystems (MEDES) has become one of the most important international scientific events bringing together researchers, developers, and practitioners to discuss latest research issues and experiences in developing advanced solutions that will help to design, deploy, exploit and tune emerging ecosystems. This year, the 13th International Conference on Management of Digital EcoSystems (MEDES'21) was supposed to happen in Hammamet, Tunisia but was finally held during November 1st to 3rd in virtual mode due to COVID-19 pandemic. Despite the lack of in-person interactions and socialization, MEDE’21 acted as a hosting platform for a diverse community from academia, research laboratories and industry interested in exploring the manifold challenges and issues related to web technologies and resource management of Digital Ecosystems and how current approaches and technologies can be evolved and adapted to this end.

This year, we selected 15 full papers, 4 short papers, 1 student paper, and 6 workshop papers. Each paper was reviewed by at least 3 reviewers. The accepted papers cover a number of broad research areas on both theoretical and practical aspects of Emerging Digital Eco following sessions: Trust, security, and real learning; Big data processing, text analysis, and ontologies; and IoT and smart technologies. In conjunction with these sessions, a workshop on Social and Big Data in 5G/AI Era was held too.

Chapters
Application of Predictive Analytics to Sales Planning Business Process of FMCG Company
Panvlyuchenko, K., Panfilov, P., , in: MEDES '21: Proceedings of the 13th International Conference on Management of Digital EcoSystems.: NY: Association for Computing Machinery (ACM), 2021. P. 167–170.
Many organizations inside FMCG industry tries to improve their business process and make them more effective, by implementing different technologies, one of the is predictive analytics. This technology used in spheres like planning and forecasting product sales. Because market trend is very unstable, company needs to know how much to produce. This work focuses on ...
Added: January 15, 2022
Digital Ecosystem-Based KPI-Driven Railway Communication Network Reporting System
Panfilov, P., Suleykin, A., ElDarawany, A., , in: MEDES '21: Proceedings of the 13th International Conference on Management of Digital EcoSystems.: NY: Association for Computing Machinery (ACM), 2021. P. 163–166.
This research is focused on architectural and modeling issues of design and development of digital reporting system aimed at the railway communication network infrastructure. Our approach to these problems is based on digital ecosystem paradigm and open-source Big Data technologies. It also aims at methodology for KPIs data preparation and collection in railway communication networks. ...
Added: January 15, 2022
Research target: Economics and Management Engineering and Technology Computer Science Natural Sciences
Language: English
DOI
Text on another site
Keywords: managementdigital ecosystems
MEDES '21: Proceedings of the 13th International Conference on Management of Digital EcoSystems
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