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По вашему запросу найдено документов: 11863

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Predicting Dynamics of Soil Salinity and Sodicity Using Remote Sensing Techniques: A Landscape-Scale Assessment in the Northeastern Egypt
Abuzaid A.S., El-Komy M.S., Shokr M.S., El Baroudy A.A., Mohamed E.S., Rebouh N.Y., Abdel-Hai M.S.
). Using 70% of soil and band reflectance data, stepwise linear regression models were constructed
Расширенная задача оптимального управления и численный метод ее решения
Дивеев А.И.
universal numerical method is proposed based on a piecemeal linear approximation of the control function
Machine learning methods in computational toxicology
learning, supervised and unsupervised, linear and nonlinear, classification and regression, in combination
The cervical blood flow parameters with the best correlation fromarterial blood pressure in hypertension cases
Vetcher A.A., Zhukov K.V., Gasparuan B.A., Shishonin A.Y.
to define parameters of linear regression. It appears that there is a strong correlation betweenBP and VA
Comparison of generalization error's methods on case of linear regression
Pavel, Peresunko, Kristina, Pakhomova, Eugenia, Soroka, Sergey, Videnin
to samples and feature count of dataset. This research shows accuracy of each method for Lasso regression
Dependence Between Mortality In Regions And Prevalence Of Active Sars-Cov-2 Carriers And Resources Available To Public Healthcare Organizations
Stepanov V. S.
of calculating mortality figures in Russia. In this case regression models can be useful with their obvious
Research of methods for design of regression models of oil and gas refinery technological units
Бухтояров, В. В., Тынченко, В. С., Петровский, Э. А., Докшанин, С. Г., Кукарцев, В. В.
Research of methods for design of regression models of oil and gas refinery technological units
Improving reliability of aggregation, numerical simulation and analysis of complex systems by empirical data
Boris, S Dobronets, Olga, A Popova
The paper considers a new approach of regression modeling that uses aggregated data presented
Forecasting the enterprise tax base through regression of one-dimensional time series
Kadochnikova E., Erina T., Margushova A.
and regression models with dummy variables to account for additive and multiplicative seasonality. On a sample
Experimental studies of restoration of ball mill trunnion
Bondarenko, Yu. A., Bestuzheva, O. V., Sanina, T. M.
by the auxiliary machine at the place of operation. Based on the experimental research in repair the regression

Страница 10 из 1187

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