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Assessment of tautomer distribution using the condensed reaction graph approach
entire equilibrium. The support vector regression method was used to build the models. The training set

Improved estimation method for high dimension semimartingale regression models based on discrete data in the framework of a continuous time regression model with semimartingale noises, i.e. by incomplete observations

Hyperspectral regression lossless compression algorithm of aerospace images channel is performed on the values of the constructed regression equation model. An important step

Analysis gps and doris geocenter oscillation measurements using software package asdrm and forecasting of the geocenter dynamics and to identify the regular effects, the dynamic regression modeling

Reproducing country-wide COVID-19 dynamics can require the usage of a set of SIR systemsThis work shows that simple compartmental epidemiological models may not reproduce actually

Predictive Mapping of Organic Carbon Content in Soils of Russia Using Ensemble Machine Learning-dimensional modeling of the organic carbon content of soils with 500 m spatial resolution at several standard depths (0

Model selection for a semi - Markov continuous time regression observed in the discrete time momentsModel selection for a semi - Markov continuous time regression observed in the discrete time

Guaranteed parameter estimation of general regression modelGuaranteed parameter estimation of general regression model

Advertising marketing analysis of TikTok short video based on logistic regression modelAdvertising marketing analysis of TikTok short video based on logistic regression model

Econometric Study of Inflation Processes in Modern Russia and the indicators listed above is established, the regression equation is constructed on the basis of which a

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