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Model predictive control for urban traffic flowsA problem of optimal urban traffic flows control is considered. A mathematical model of control

A predictive model and a field study on heterogeneous slug distribution in arable fields arising from density dependent movement these two findings together. We develop a model of density dependent animal movement to account

Addressing racial disparities in prostate cancer pathology prediction models: external validation and comparison of four models of pathological outcome prediction before radical prostatectomy in the multiethnic SEARCH cohortCertain widely used pathological outcome prediction models that were developed in tertiary centers

Prediction of the COVID-19 spread in Russia based on SIR and SEIR models of epidemicsAn attempt is made to use the simplest epidemic models: SIR and SEIR to predict the spread of COVID

Immuno-Epidemiological Model-Based Prediction of Further Covid-19 Epidemic Outbreaks Due to Immunity WaningImmuno-Epidemiological Model-Based Prediction of Further Covid-19 Epidemic Outbreaks Due

Estimation of COVID-19 dynamics “on a back-of-envelope”: Does the simplest SIR model provide quantitative parameters and predictions? it for predictive estimations. In addition, some features of SIR model are discussed in the context, how its

MICROBIOME-ASSOCIATED METABOLOMIC IN THE CLINICAL LABORATORY DIAGNOSIS OF TONSILLITIS studied by the method of microbiome-associated metabolomic. A model of predictive diagnostics «Tonsillitis

Comparative Analysis of Approaches to Prediction of Quantitative Parameters during a Pandemic characteristics of target features describe a more accurate prediction of future values by the modified SEIR model

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

Predictive Modelling of Weight-Loss-Therapy Results for Patients with Obesity., medical professionals need methods to predict the future outcome of taking a drug. This study proposes a

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