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Open-Source Digital Infrastructure Capacity Prediction System for Production Company
P. 915–920.
We propose a system for prediction infrastructure capacity and metrics using Open-Source Big Data technologies. The proposed system is being built as a Digital Ecosystem comprised of various Services, which are needed for the prediction of Digital Infrastructure Capacity of a production company. Various techniques for the development of a digital ecosystem, such as integration, processing, prediction and visualization of server metrics are considered to provide prediction data from production companies. In our study, we review literature for Digital Infrastructure Capacity predictions, provide functional and component architecture of the proposed system, describe the methods and techniques for the development of prediction models, and finally implement the prototype system based on real server metrics data collected from a real-world production company. The forecasts visualizations for predicted server metrics are presented.
Yaroslav I. Kuzminov, Alexey S. Koshel, Ekaterina V. Kruchinskaia et al., BRICS Law Journal 2026 Vol. 13 No. 2 P. 5–36
Today’s economy is undergoing a fundamental institutional shift in which digital ecosystems have emerged not only as a key driver of development but also as a critical condition for market access for billions of users. Despite the rapid global proliferation of these phenomena, the evolution of legal regulation—from e-commerce and data protection to antitrust oversight ...
Added: July 2, 2026
Ovcharova E., Звягинцев С. Е., Законодательство 2026 № 6 С. 41–45
The authors draw on the French experience of cautiously implementing artificial intelligence technologies in financial control. The article also provides a general overview of trends in the Russian legal framework for financial control in the context of the digital transformation of public administration. They propose strengthening legal guarantees for regulated entities. ...
Added: June 17, 2026
Дементьева К. В., Вестник Томского государственного университета. Филология 2026 № 100 С. 192–219
This article addresses the scientific problem of insufficient understanding of the mechanisms underlying the formation of a new media platform created “from above” within the framework of digital sovereignty policies. The aim of the study is to analyse the MAX messenger as a media project, identifying the architecture of its public sphere, the strategies of ...
Added: May 6, 2026
Kornienko S., Ismakaeva I., Senina A., Отечественная и зарубежная педагогика 2026 Т. 1 № 2(113) С. 91–102
In the digital age, digital proficiency is becoming a key literacy of the 21st century, particularly relevant for students in humanities education programs. This article proposes a comprehensive model for integrating digital technologies into humanities education at a university. The methodology relies on case studies and design-based research elements, including analysis of regulatory documents, educational ...
Added: April 30, 2026
Tyshetskaya A., Vartanov S., Olga Kalachikova, World of Media. Journal of Russian Media and Journalism Studies 2026 No. 1 P. 5–29
This article examines media resources within Russian digital ecosystems (RDESs) for which the media industry has never been a core business and which are now actively expanding their presence in this area: Sber, MTS, and T-Technologies (T-Bank). It discusses how each of the analyzed non-media companies has transformed into a digital ecosystem in recent years, ...
Added: April 14, 2026
Vartanov S., Tyshetskaya A., Вестник Московского университета. Серия 10: Журналистика 2025 № 5(50) С. 23–53
Media has been at the forefront of digital transformation in recent years: not only have the methods of creating, selling, storing, and consuming media content and media services changed, but also the structure of the media communication industry (MCI) itself. Considering its new structure and subjectivity, one cannot help but pay attention to artificial intelligence (AI) technologies that manifest ...
Added: December 11, 2025
Kulikova S., Polyakova I., Kuzmicheva E. et al., Неврология, нейропсихиатрия, психосоматика 2025 Т. 17 № 5 С. 48–54
Predicting the outcome of ischaemic stroke (IS) is a complex task, as mortality and disability depend on many factors, including age, gender, type and severity of stroke, and comorbidities. Survival rates also vary between countries depending on genetic characteristics and differences in the organisation of healthcare systems.
Objective: to search for predictors of one-year survival after ...
Added: October 27, 2025
Springer Publishing Company, 2025.
This book focuses on benefiting artificial intelligent tools in our business and social life under emerging conditions. Human-centric, resilient, and sustainable industries are built on ideals like human-centricity, ecological advantages, or social benefits. The mission of human-centric artificial intelligence is to improve people’s lives by offering solutions that boost productivity, accessibility to resources, security, well-being, ...
Added: July 31, 2025
Boboshko D., Treistar D., Kulapova A., Lecture Notes in Networks and Systems 2024 No. 1092
The article presents the results of a study of the conceptual apparatus used in describing the processes of formation and functioning of banking ecosystems. Advanced search filters were applied to select the most relevant scientific literature, which made it possible to objectively narrow and clarify the scope of bibliometric research. The content of more than ...
Added: May 26, 2025
Ovanesova Y., Moshiashvili M. M., Типсина Н. О., / Series "Working Papers". 2021.
The purpose of this article is to analyze and evaluate the cultural characteristics of the digital ecosystem product teams leaders and operational efficiency. Using binary choice models (the main conclusions were made on the basis of logit regressions), has been found a significant negative relationship between the probability of achieving business goals by a team ...
Added: February 17, 2025
Singapore: Springer, 2024.
This book comprises the proceedings of the 4th International Conference on Computer Vision, High-Performance Computing, Smart Devices, and Networks (CHSN 2023). This book highlights high-quality research articles in machine learning, computer vision, and networks. The content of this volume gives the reader an up-to-date picture of the state-of-the-art connection between computational intelligence, machine learning, and ...
Added: January 17, 2025
Springer, 2024.
This book presents recent research in intelligent and fuzzy techniques on Intelligent Industrial Informatics and Efficient Networks. This cutting-edge field integrates advanced technologies, such as artificial intelligence, machine learning and data analytics, into industrial processes, revolutionizing the way industries operate. The book presents the examples of the implementation of smart sensors and IoT devices, which ...
Added: September 14, 2024
Suleykin, A., Panfilov P., , in: Management of Digital EcoSystems.15th International Conference, MEDES 2023, Heraklion, Crete, Greece, May 5–7, 2023, Revised Selected Papers.: Switzerland: Springer, 2024. P. 293–302.
In this paper, we present the high-level architecture of an integrated resource management system for the digital ecosystem of a modern enterprise. The proposed system configuration implements the CONSORTS concept – a new kind of architecture for ubiquitous intelligent agents that provide services for modeling and forecasting the dynamics of changes in the resources of ...
Added: April 5, 2024
Erlygin L., Zholobov V., Baklanova V. et al., , in: 2023 IEEE International Conference on Data Mining Workshops (ICDMW) 1–4 December 2023, Shanghai, China.: Shanghai: IEEE Computer Society, 2023. P. 1247–1258.
Machine learning models play a vital role in time series forecasting. These models, however, often overlook an important element: point uncertainty estimates. Incorporating these estimates is crucial for effective risk management, informed model selection, and decision-making.To address this issue, our research introduces a method for uncertainty estimation. We employ a surrogate Gaussian process regression model. ...
Added: March 20, 2024
Shastitko A., Kurdin A., Филиппова И. Н., Вопросы экономики 2023 № 2 С. 61–82
The importance of digital ecosystems in the economy is growing rapidly as more and more companies and consumers are involved in their circuit. At the same time, the regulation relevance is growing too, as evidenced by many antitrust cases involving companies such as Yandex, Google, Microsoft, which constitute the core of the respective ecosystems. The ...
Added: June 30, 2023
Springer, 2022.
FCA is an important formalism that is associated with a variety of research areas such as lattice theory, knowledge representation, data mining, machine learning, and semantic Web. It is successfully exploited in an increasing number of application domains such as software engineering, information retrieval, social network analysis, and bioinformatics. Its mathematical power comes from its concept ...
Added: November 1, 2022
Smetanin S., Komarov M. M., IEEE Access 2022 Vol. 10 P. 18886–18898
A growing body of literature has examined the potential of machine learning algorithms in constructing social indicators based on the automatic classification of digital traces. However, as long as the classification algorithms’ predictions are not completely error-free, the estimate of the relative occurrence of a particular class may be affected by misclassification bias, thereby affecting ...
Added: February 22, 2022
Kuskova V., Zaytsev D., Sokol A. et al., , in: Proceedings of the 26th ISSAT Conference on Reliability and Quality in Design.: International Society of Science and Applied Technologies, 2021. P. 122–126.
Added: October 29, 2021
Suleykin A., Bakhtadze N., Panfilov Peter, , in: MEDES '20: Proceedings of the 12th International Conference on Management of Digital EcoSystems.: NY: Association for Computing Machinery (ACM), 2020. P. 92–95.
In this paper, Big-Data Driven Digital Ecosystem Framework (BDDDEF) for Online Predictive Control Systems is created. The proposed framework consists of different Agents, where each Agent is a distributed and virtual service. In our work, we provide solutions to the Big Data challenges in building Digital Ecosystems for Online Control including high volumes, velocity and ...
Added: February 5, 2021
NY: Association for Computing Machinery (ACM), 2020.
Nowadays, we live in a world, in which independent entities such as individuals, organizations, services, software, and applications sharing one or several missions and focusing on the interactions and inter-relationships among them, are strongly connected. This situation gives rise to an intelligent environment namely «digital ecosystem». This latter includes different producers of data (the Web, ...
Added: February 5, 2021
М.: Издательский дом «Дело» РАНХиГС, 2020.
Сборник включает научные статьи участников I Международной кон-ференции «Большие данные в образовании: анализ данных как основание принятия управленческих решений», организованной в рамках проекта No 19-29-14016/19мк «Методология анализа больших данных в образовании и ее интеграция в программы профессиональной подготовки педагогов и руководителей общеобразовательных организаций в логике «Педагогика, основанная на данных», «Управление образованием на основании данных». На ...
Added: January 13, 2021
Alexandra Miasnikova, Troshkov D., Baklushev M. et al., , in: 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) 2019.: IEEE, 2019. P. 2451–2454.
Added: October 30, 2020
Suleykin, A., Panfilov, P., , in: Annals of DAAAM and Proceedings of the International DAAAM SymposiumVol. 31(1): Proceedings of the 31st International DAAAM Virtual Symposium ''Intelligent Manufacturing & Automation''.: Wien: DAAAM International Vienna, 2020. Ch. 70 P. 0499–0509.
In our application research, we propose a Digital Ecosystem approach to overcome data integration, orchestration and quality challenges in railway reporting system using Big Data technologies. We are building a Digital Ecosystem Framework consisting of different Agents, where each Agent is an essential part of the Railway Reporting Management System. In this work, we address ...
Added: October 27, 2020