Results 111 to 120 of about 11,564,802 (285)
Modeling proppant transport and settling in a 3D propagating fracture
Deep Underground Science and Engineering, EarlyView.A versatile multiphysics tool is presented for simulating the complex processes involved in hydraulic fracturing treatments. The model couples fracture opening and propagation, variable‐density slurry flow, and proppant particle transport within the multiphysics object‐oriented simulation environment framework, based on two‐phase mixture equations and ...
Robert Egert +2 more
wiley +1 more source
Distributional properties of means of random probability measures [PDF]
The present paper provides a review of the results concerning distributional properties of means of random probability measures. Our interest in this topic has originated from inferential problems in Bayesian Nonparametrics.
Antonio Lijoi, Igor Prünster
core +2 more sources
InventionsTo address the increased operational risk in distribution network caused by the grid integration of distributed wind power, a distribution network risk assessment method that combines a Dirichlet process mixture model (DPMM) with the cumulant method (CM)
Yuxuan Huang +6 more
doaj +1 more source
Hyperspectral Image Restoration under Complex Multi-Band Noises
Remote Sensing, 2018 Hyperspectral images (HSIs) are always corrupted by complicated forms of noise during the acquisition process, such as Gaussian noise, impulse noise, stripes, deadlines and so on.
Zongsheng Yue +3 more
doaj +1 more source
Finite Element Analysis for Li Batteries at the Mesoscale
ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.Finite element analysis (FEA), through multi‐physics coupling, has been widely employed to calculate mesoscale structures in LIBs that exhibit inherent randomness and disorder (Figure a). It has been extensively applied to the investigation of critical phenomena such as Li dendrite evolution, Li+ concentration gradients, SEI film growth, particle ...
Guanwu Li +3 more
wiley +1 more source
Chemical Engineering Transactions, 2018 Process scheduling is one key layer of decision hierarchy for process industries to optimize their production schedule in order to gain the long-term economic viability.
Cen Guo, Fengqi You
doaj +1 more source
High‐Order Projection‐Based Upwind Method for Simulation of Transitional Turbulent Flows
International Journal for Numerical Methods in Fluids, EarlyView.In this study, we evaluated the implicit large‐eddy simulation capabilities of the mass‐conserving mixed stress method for transitional turbulent flows and proposed an efficient solution method for large‐scale applications. The results presented in this work show promising outcomes for incompressible aerodynamic flow problems, which can be further ...
Philip L. Lederer +2 more
wiley +1 more source
Clustering Survival Outcomes using Dirichlet Process Mixture [PDF]
, 2014 Motivated by the national evaluation of mortality rates at kidney transplant centers in the United States, we sought to assess transplant center long- term survival outcomes by applying a methodology developed in Bayesian non-parametrics literature.
Shi, Jingchunzi +3 more
core +1 more source
Producing power-law distributions and damping word frequencies with two-stage language models [PDF]
, 2011 Standard statistical models of language fail to capture one of the most striking properties of natural languages: the power-law distribution in the frequencies of word tokens.
Johnson, Mark +2 more
core
Bayesian Multivariate Two‐Stage Volatility‐Return Models (MTS‐VR)
Journal of Forecasting, EarlyView.ABSTRACT This paper develops a class of models to capture the joint dynamics of asset returns and multivariate volatility. Owing to its two‐stage construction, this class is referred to as the multivariate two‐stage volatility‐return (MTS‐VR) model.
Zhenglyu Huang +2 more
wiley +1 more source