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Fuzzy linguistic forecasting of the results of the implementation of regional socio-economic projects the implementation of regional socio-economic projects, which are an effective mechanism for the development

Methodical approach to assessing the volume of youth labour migration in the states of the Eurasian Economic UnionLabour migration plays an integral role in the socio-economic development of any country

Assessment of financial stability and business expansion of JSC statoil in the context of economic instability on business expansion in conditions of the economic instability. To implement the research the authors have

Scenario Forecasting Tourist Flows during the COVID-2019 Pandemic data, it is proposed to use a model based on the extrapolation of tourist flows. The forecasts were

Conceptual approaches to overcoming turbulence in the innovative development of Russian industrial enterprises socio-economic conditions, the most promising direction is the development of cutting-edge technologies

Econometric modeling of some economic metrics of human capital development in Russia in the current economic situation conducted the regression analysis and econometric research, built human capital development forecast models

Математическое моделирование экономического эффекта применения технологий точного земледелия (на макроуровне) on integrated integration technologies is given. The authors present a mathematical model of the economic effect

Regional cluster as a vector of socio-economic development of the territory Government among the main (of top priority) directions of socio-economic development of the regions. Among

Enhanced forecasting of multi-step ahead daily soil temperature using advanced hybrid vote algorithm-based tree models-RT). Developed models were tested for forecasting soil temperature (TS) at 1, 2, and 3 days ahead at depths of 5

Improving the economic performance of Russia’s energy system based on the development of alternative energy sources of alternative and conventional energy resources were forecasted by means of neural modeling technologies. Using

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