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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
Cross-validation strategies in QSPR modelling of chemical reactions an unbiased estimation of the predictive performance of the models for novel types of structural
The study and management of reliability parameters for automotive equipment using simulation modeling of military specialists' training. The solution, in the author's opinion, is in realization of the model
Benchmarking the efficiency of deep learning methods on the problem of predicting subjects’ age by chest radiographs of conventional and
Deep Learning methods on the problem of predicting subjects’ age by their chest radiographs
Predicting Threat Degree for Onset of Type 2 Diabetes Mellitus Based on Machine Learning MethodsThis article discusses the use of machine learning methods to predict the degree of threat
New opportunities of high-resolution gravimetry for the studies of subsurface geology and prediction of oil fields permits the construction of physical geological models of the predicted subsurface features that reflect
Prediction of the strength of high entropy alloys of the Al-Cr- Nb-Ti-V-Zr system by the solid-solution hardening modelAn approach based on the phase prediction of both the phase composition and the solid solution
A Simpe Model for the Description and Prediction of the Thermodynamic Substrate and Regioselectivities of Alkane CH Activation with Metal ComplexesThe empirical Pauling equation was used to develop a simple qualitative model for the description
Polymer chain dynamics predicted by n-renormalized rouse models: Numerical studiesFeatures of the renormalized and twice renormalized Rouse models were examined numerically. Based
Prediction of engineering development based on institutional approach for the period until 2018. As a tool for building the predictive model the method of correlated
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