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The Prediction of the Mean Arterial Pressure of the filtration and extrapolation on the basis of the stochastic process model. The proposed method of prediction
Prediction of the three-dimensional structure of the protein SaHPF and analysis of its molecular dynamics mechanisms will allow to develop new antibacterial drugs. Protein structure was predicted using Robetta
Problems of creating predictive models of the COVID19 coronavirus pandemic made it possible to create a universal information predictive model for calculating the dynamics
An Algorithm of Dynamic Heterogeneous Networks Link Prediction
characteristics of heterogeneous networks, DyMDGCN model is proposed in this paper. The model
uses multi
Characterization of tracer responses using fractional derivative-based mathematical model and its application to prediction of mass transport in fractured reservoirs interval of 50m, both the fADE and ADE model are applied to predict the tracer responses in the case where
Development of "structure-property" models in nucleophilic substitution reactions involving azides© 2014 Pleiades Publishing, Ltd. This paper reports a predictive model for the rate constant
PREDICTION OF GAS CONCENTRATION IN THE CHAMBER BASED ON THE DEPENDENCE OF ELECTRIC CURRENT ON TIME ON THE SENSOR model: coefficient of determination, standard error, and average absolute error. The analysis
Use of an artificial neural network algorithm and cokriging method for reservoir porosity modeling prediction by neural network modeling. Use of cokriging method allows using the predicted seismic porosity
Предсказание сигналов стационарных процессов and worn-out fuel injector. Has been developed a predictive model based on the LSTM neural network
A structural approach study of model predictive control in
the perspective of photovoltaic systemsA structural approach study of model predictive control in
the perspective of photovoltaic systems
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