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
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