The study is devoted to the analysis of the features of the change in the Equivalent Water Height (EWH) parameter over the geoid based on satellite measurements of space systems. The study used the GRACE and GRACE-FO satellite data archive. The assessment was carried out on Earth as a whole, including land areas and the World Ocean. Interpretation of the anomalous state of the geoenvironment is performed using digital maps of the spatial distribution of the EWH parameter based on the histogram approach and correlation analysis. Also, a comparative analysis of the studied data from the GRACE mission and data from the new GRACE-FO satellite system launched into orbit in the summer of 2018 was carried out.

The study is devoted to the analysis of the features of the EWH (Equivalent Water Height) parameter over the geoid using satellite measurements of the GRACE space system in seismically active areas of the strongest underwater earthquakes. Created archive of satellite data GRACE. Interpretation of the disturbed state of the geomedia using digital maps of the spatial distribution of the parameter EWH is performed.

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The study is devoted to the development of computational technology (algorithms) for constructing models of texture analysis and visualization of images of computed tomography of the lungs as applied to the problem of diagnosing pathology associated with COVID-19. Within the framework of computational technology it is proposed to use algorithms for noise reduction, contrast enhancement, segmentation and spectral decomposition (shearlet transform). On this basis models of texture (geometric) analysis are proposed for highlighting and contrasting local objects of interest, taking into account the use of color coding for contrast. The analysis of dynamic changes in CT images of the lungs in the presence of changes associated with COVID-19 in patients with confirmed laboratory diagnostic data was performed. The results of the experimental study show that the developed computational technologies and the proposed models are effective means for quantitative analysis of the variability of the texture features of the studied images as well as for dynamic analysis over time and predicting possible states. The study was carried out within the framework of the grant «Methods of artificial intelligence and computer vision to improve the accuracy of remote diagnostics of respiratory diseases in the northern group of regions of the Krasnoyarsk Territory» with financial support from the Krasnoyarsk Regional Fund for the Support of Scientific and Scientific and Technical Activities.

The results of computer visualization of the biomechanics of the shoulder joint are presented. Possibilities of using biomechanical robotic mechanotherapy, implemented using the CON-TREX complex, in the rehabilitation of patients after arthroscopic shoulder surgery. The possibilities of clarifying visualization using magnetic resonance imaging (MRI) using spectral decomposition methods (shearlet transform and contrasting with color coding) have been studied. The relationship between MRI data and CON-TREX protocols in planning and carrying out rehabilitation procedures has been shown. The relationship between MRI data and CON-TREX protocols in planning and carrying out rehabilitation procedures has been shown. A method is described that makes it possible to improve the quality and availability of MRI data when studying the biomechanics of the shoulder joint during rehabilitation.