نتایج جستجو برای: numerical prediction models
تعداد نتایج: 1386033 فیلتر نتایج به سال:
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.................................................................................................... I ACKNOWLEDGEMENTS .............................................................................. II DECLARATION............................................................................................. III CONTENTS ................................................................................
In China, 260 million people migrate to cities to realize their urban dreams. Despite that these migrants play an important role in the rapid urbanization process, many of them fail to settle down and eventually leave the city. The integration process of migrants thus raises an important issue for scholars and policymakers. In this paper, we use Shanghai as an example to investigate migrants’ b...
enhanced oil recovery using nitrogen injection is a commonly applied method for pressuremaintenance in conventional reservoirs. numerical simulations can be practiced for the prediction ofa reservoir performance in the course of injection process; however, a detailed simulation might takeup enormous computer processing time. in such cases, a simple statistical model may be a goodapproach to the...
Background & Objective: Using parametric models is common approach in survival analysis. In the recent years, artificial neural network (ANN) models have increasingly used in survival prediction. The aim of this study was to predict of survival rate of patients with gastric cancer by using a parametric regression and ANN models and compare these methods. Methods: We used the data of 436 gast...
in recent decades, seizure prediction caused a lot of research in both signal processing and neuroscience field. the researches tried to enhance the conventional seizure prediction algorithms such that rate of the false alarms be appropriately small so that seizures can be predicted according to clinical standards. up to now none of the proposed algorithms have been sufficiently adequate. in th...
Mesoscale models, with grid resolution higher than synoptic and global models, and with advanced physical parameterizations, have been an important tool for meteorological research over the past twenty years. The research applications of mesoscale models, mostly through case studies or model sensitivity experiments in the 1980s, provided us with important physical insights into mesoscale weathe...
Despite the centrality of the median voter prediction in political economy models, overwhelming empirical evidence shows that legislators regularly take positions that diverge significantly from the preferences of the median voter in their districts. However, all these empirical studies to date lack the necessary data to directly measure the preferences of the median voter. We utilize a unique ...
Subfilter scalar variance is a critical indicator of small scale mixing in large eddy simulation LES of turbulent combustion and is an important parameter of conserved scalar based combustion models. Realistic combustion models have a highly nonlinear dependence on the conserved scalar, making the prediction of flow thermochemistry sensitive to errors in subfilter variance modeling, including e...
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