Production of highly viscous tar sand bitumen using Steam Assisted Gravity Drainage (SAGD) with a pair of horizontal wells has advantages over conventional steam flooding. This paper explores the use of Artificial Neural Networks (ANNs) as an alternative to the traditional SAGD simulation approach. Feed forward, multi-layered neural network meta-models are trained through the Back-...

The formation of a stably perfused microvasculature continues to be a major challenge in tissue engineering. Previous work has suggested the importance of a sufficiently large transmural pressure in maintaining vascular stability and perfusion. Here we show that a system of empty channels that provides a drainage function analogous to that of lymphatic microvasculature in vivo can stabilize vas...

We present an algorithmic classification of drainage networks on Mars. Altogether, 368 drainage networks were computationally extracted using MOLA topographical data from various martian locations covering 16 major geological units. The classification is quantitative and objective, as it is based on a numerical description of drainage networks. Applying a clustering algorithm to our dataset, we...

in recent years, biodiesel has been considered as a good alternative of diesel fuels. density and viscosity are two important properties of these fuels. in this study, density and kinematic viscosity of biodiesel-diesel blends were estimated by using artificial neural network (ann). a three-layer feed forward neural network with levenberg-marquard (lm) algorithm was used for learning empirical ...

background: the artificial neural networks (anns) are useful in solving nonlinear processes, without the need for mathematical models of the parameters. since the relationship between the ct numbers and material compositions is not linear, ann can be used for obtaining tissue density and composition. objective: the aim of this study is to utilize ann for determination of the composition and mas...

background: the aim of this study was to survey the iranian parasitology researchers’ performance, and analyse and visualize the scientific outputs of their co-authorship network. methods: this study was conducted using scientometric method and social network analysis (sna). the data extracted from the web of science (wos) databases in july 10th 2014. totally, 1048documents of all types in rese...