Поиск по всему репозиторию:

    • A comparison of the Covid-19 machine learning automation model and SPSS time series 

      Hongxu Zhu; Petrov, Dmitriy; Razumeichik, Vita (БрГТУ, 2022)
      This paper uses publicly available data on the prediction process of Covid-19 transmission in the world to attempt to predict the time series using the SPSS exponential Holt model and the Python ARIMA model. model model to predict the epidemic development trend and key nodes, quantitative analysis of ...

      2023-01-23

    • Approaches to estimate the socio-economic risks caused by the river flood 

      Volchak, Aliaksandr Aliaksandrovich; Kostiuk, Dmitriy; Petrov, Dmitriy; Sheshko, Nikolay Nikolaevich (BrSTU, 2022)
      The issues of forecasting damage caused by flooding of anthropogenically transformed territories in a river floodplain of a plain type are considered based on the case of the floodplain of the Pripyat River. A method of spatial analysis of the level of the territory usage and the depth/duration of ...

      2023-02-17

    • Forecast of socio-economic damage caused by flooding 

      Volchek, Alexander; Kostiuk, Dmitriy; Petrov, Dmitriy; Sheshko, Nikolay (International Baltic Earth Secretariat, 2019)
      Forecast of socio-economic damage caused by flooding / Alexander Volchek [et al.] // Baltic Earth Workshop on Climate projections and uncertainties in the northern Baltic Sea region Finnish Environment Institute, Helsinki, Finland, 19 - 20 November 2019 / Co-organized by Finnish Environment Institute ...

      2022-04-13

    • Rain surface runoff modeling using cellular automaton 

      Volchak, Aliaksandr Aliaksandrovich; Kostiuk, Dmitriy; Petrov, Dmitriy; Sheshko, Nikolay Nikolaevich (BrSTU, 2021)
      The numerical solution of a system of two-dimensional shallow water (Saint-Venant) differential equations in partial derivatives for modeling the dynamics of surface runoff using digital elevation models obtained by laser altimetry leads to a significant increase in the computational load on the ...

      2021-12-03