16th International Conference Management of large-scale system development (MLSD)

IEEE, 2023.

Academic editor: A. Tsvirkun

The conference is supported by
• Russian Academy of Sciences, Branch of Power Engineering, Mechanics, MachineBuilding, and Control Sciences
• Russian National Committee on Automatic Control
• Russian Academy of Sciences Council on Complex Problems of Automation and Control
Technical co-sponsoring
• IEEE (Russia section)
Topics of the conference
• Management problems of large-scale system development, including multinational corporations, state holdings, and state corporations
• Methods and tools for managing investment projects and programs
• Management of development of a digital economy. Design offices both situational and expected analytical centers, institutes of development of large-scale systems
• Simulation and optimization in the problems of development management of large-scale systems
• Nonlinear processes and computing methods in the problems of management of large-scale systems
• Management of development of banking and financial systems
• Management of fuel, power, infrastructure and other systems
• Management of transport systems
• Managing the development of aerospace and other large-scale organizational-technical complexes
• Managing the development of regional, urban and municipal systems
• Management of objects of nuclear power and other objects of increased danger
• Information support and software management systems for large-scale production
• Methodology, methods, software and algorithmic support of Intellectual processing of large volumes of information
• Monitoring in the management of large-scale systems
• Management of large scales systems advancement in healthcare, medico-biological systems, and technologies
• Managing the development of social systems

Chapters

Comparison of the Quality of Robust PCA versions in the Reducion of datasets with Outliers

Goryainov V. B., E. R. Goryainova, , in: 16th International Conference Management of large-scale system development (MLSD).: IEEE, 2023. P. 1–5.

The paper considers PCA modifications based on robust estimates of correlation matrices of observed multivariate correlated indicators. Based on simulated and real socio-economic data, the robust versions of the PCA were compared with the traditional version. A higher quality of robust PCA is demonstrated when observations contain outliers or have heavytailed distributions. ...

Added: February 12, 2024

Index Fund Portfolios Efficiency on the Stock Markets of the Russia, USA, Germany and China for 2012-2022

Sizykh N., Natalia Dendeberova, Sizykh D., , in: 16th International Conference Management of large-scale system development (MLSD).: IEEE, 2023. P. 1–5.

An analysis of the performance indicators of index investment portfolios of the Russian Federation, the USA, Germany and China stock markets for 2012-2022 was carried out. The most effective methods for optimizing index portfolios have been identified. An analysis and comparison of factors influencing the efficiency of index portfolios of various stock markets was carried ...

Added: December 22, 2023

Modeling Intermittent Protest Campaigns

Petrov A., Sergey Zheglov, Akhremenko A. S., , in: 16th International Conference Management of large-scale system development (MLSD).: IEEE, 2023. Ch. 1 P. 1–5.

The paper studies protest campaigns consisting of both days with protest activity and days without activity. A dynamical agent-based model has been constructed. Numerical experiments showed that repression reduces the surviving probability of the campaign, but moderate repression may increase the turnout for the campaigns that survive. ...

Added: March 7, 2024

Application of the Method of Multivariate Multi-stage Forecasting Based on the LSTM Deep Learning Model for Bitcoin Price Time Series

Natalia Sizykh, Said Dandamaev, Dmitry Sizykh, , in: 16th International Conference Management of large-scale system development (MLSD).: IEEE, 2023. P. 1–5.

Forecasting data and research on cryptocurrency price forecasting methods are increasing in importance. So far, methods based on LSTM deep learning architecture have shown the best results in forecasting cryptocurrency prices. In order to improve the accuracy of forecasting data, this paper investigates the application of a multivariate multistep forecasting method based on the LSTM ...

Added: December 22, 2023

The Effect of Internet Shutdowns on Protest Activity in India: an Empirical Investigation

Evgeny Sedashov, Belenkov Vadim, Valeria Koncha, , in: 16th International Conference Management of large-scale system development (MLSD).: IEEE, 2023. P. 1–4.

Added: December 12, 2023

Keywords: mathematical models, machine learning