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New experimental melting properties as access for predicting amino-acid solubility© The Royal Society of Chemistry 2018. The properties of melting are required for the prediction
Comparative Analysis of Machine Learning Methods for Prediction of Heart Diseases for predicting heart disease using electrocardiography and machine learning algorithms was conducted. In total
A model for predicting heavy metal concentrations in soils, it is relevant to carry out multiple parameter analyses of soil concentrations and to take into account a variety
Reliability Prediction of Electroniс Devices, Considering the Gradual FailuresThe authors suggest a method of the reliability prediction for electronic devices, considering
Model predictive control for constrained systems with serially correlated stochastic parameters and portfolio optimizationModel predictive control for constrained systems with serially correlated stochastic parameters
Model predictive control of constrained with non linear stochastic parameters systemsModel predictive control of constrained with non linear stochastic parameters systems
Risk efficiency of adaptive one-step prediction of autoregression with parameter driftRisk efficiency of adaptive one-step prediction of autoregression with parameter drift
Корреляционный анализ в решении задачи поиска информативных параметров транзисторов большой мощности проведении процедуры прогнозирования надёжности приборов. For individual prediction of the reliability
Эффективность моделей деградации функциональных параметров при прогнозировании параметрической надежности полупроводниковых приборов.: normal, two-
parameter exponential and Weibull-Gnedenko. Using the average prediction error
Adaptive prediction of stochastic differential equations with unknown parametersThis paper proposes adaptive predictors of continuous-time dynamic systems with unknown parameters
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