Lime production is a process that entail complex material and energy transport and chemical reaction. Efficient lime production processes are realized via well structured design models approach . Simulation of such process design models essentially provides Information on the attractive features and technical limitations of such processes which serves as guide for normal operations. The choice ...

Methods We searched Medline, EMBASE, reference lists and forward citations of relevant articles from 1980 to the 19th of April 2013. We included articles which developed a multivariate statistical model to predict recurrent stroke and MI after ischaemic stoke. We extracted data in duplicate using a validated data extraction form. We assessed model quality using pre-defined criteria and aimed to...

introduction : brain-based teaching is the implementation of principles and strategies derived from an understanding of the brain to enhance learning. authors in this research investigated the effects of brain-based training on learning and retention of life skills in adolescents. methods: this experimental study was designed as pre- post-test with a control group model and was conducted at the...

We present Tensor-RNN, a novel RNN architecture for multivariate forecasting in chaotic dynamical systems. Our proposed architecture captures highly nonlinear dynamic behavior by using high-order Markov states and transition functions. Furthermore, we decompose the highdimensional structure of the model using tensortrain networks to reduce the number of parameters while preserving the model per...

We present the Copula Bayesian Network model for representing multivariate continuous distributions, while taking advantage of the relative ease of estimating univariate distributions. Using a novel copula-based reparameterization of a conditional density, joined with a graph that encodes independencies, our model offers great flexibility in modeling high-dimensional densities, while maintainin...

Feature screening approaches are effective in selecting active features from data with ultrahigh dimensionality and increasing complexity; however, the majority of existing feature either restricted to a univariate response or rely on some distribution model assumptions. In this article, we propose novel sure independence approach based multivariate rank distance correlation (MrDc-SIS). The MrD...

For attaining the vision of a wide-spread use of enterprise modeling in everyday business practices, the underlying modeling methods need to be easily accessible. Therefore, open implementations of these modeling methods are required that can be modified and extended as needed. At the same time, such open implementations must provide a sufficiently advanced level to be adequate for practical us...