Sentence examples for a network to study from inspiring English sources

The grouping of GIS and modeling as an operating tool allows managers to diagnosis a network, to study solutions of problems and to predict future situations.

Their technique is to use a neural network to study a dataset of 100,000 images and their captions and so learn how to classify the content of images.

In a series of studies, we applied a neural network to study the neural bases of latent inhibition.

We use a percolation network to study the effect of random topology on the displacement processes, and the effect of the geometry of the pore space is investigated by using various probability density functions for the effective radii of the tubes.

A research network to study foodborne viruses in Europe was recently funded by the European Union.

These guys have trained a deep neural network to study book covers and determine the category of book they come from.

We analyze two variants of the network model by Covert and Palsson [ 19]: a simplified core network to study wildtype growth phenotypes on different carbon sources, and the complete network for predicting knockout experiments.

The beginnings of an international scientific network to study CKDu are taking shape, and researchers are working on simple, accurate diagnostics so that they can map incidence around the globe and try to correlate it with potential causes.

In this note we propose a method based on artificial neural network to study the transition between states governed by stochastic processes.

The integration of traditional epidemiology with various omics data promotes a novel epidemiology branch, systems epidemiology, 3 4 which is expected to create a network system to study health and disease at a human population level. 1 Under this framework, the focus has been shifted from identification of independent risk factors to exploration of network or pathway effects on specific diseases.

Therefore, developing a network approach to study corticocancellous architecture during growth should further our understanding of the biological basis of skeletal fragility and, thus, provide novel engineering approaches to studying the genetic basis of fracture risk.