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Information × Registration Number 0224U000779, 0123U103637 , R & D reports Title Development of deep neural networks for detecting and estimating parameters of atmospheric gravity waves and traveling ionospheric disturbances popup.stage_title Head Bohomaz Oleksandr V., Кандидат технічних наук Registration Date 11-01-2024 Organization Institute of Ionosphere popup.description2  Deep networks for working with vertical coherent sounding and incoherent scattering data have been developed. Data sets on which networks were trained were prepared. Software for batch data processing using deep networks has been created. Testing of networks was carried out on various data sets obtained at different times of the day, season, at different levels of solar and magnetic activity. Using of the developed deep networks will allow to significantly reduce the time required for processing and analysis of radiophysical data, as well as provide the opportunity to identify potential long-term changes in the characteristics of wave processes based on the analysis of a large volume of experimental data obtained over several decades. Product Description popup.authors popup.nrat_date 2024-01-11 Close