Consuming History: Historians and Heritage in Contemporary Popular Culture

Hence, in the present study intermingling yarn number of nips and nips stability values are predicted using general regression neural networks and multi- layer feed forward

Finally, the analysis of the future industrial decision supports needs shows three main directions : (i) the necessity to integrate a multi-dimensional view of the performances;

This requires (i) biophysically plausible and physiologically interpretable models of neuronal network dynamics that can predict distributed brain responses to experimental stimuli

Given that tobacco products produce a significant negative impact on the health and welfare of a community and also are associated with illegal behavior, it is reasonable—and

For example, PT- GAN [18] transfers the appearance of the labeled source dataset to the unlabeled target dataset using generative adversarial networks (GAN). ECN [19] makes

Linearisation, Centre for Water Systems, Report No.99/01, School of Engineering, University of Exeter, Exeter, United Kingdom, p.119.. Introduction to Hydraulic

That the task of creating a good interface is at least as hard as that of making the computer solve a particular problem

Solving the linear systems arising from the first order finite element discretization of the Helmholtz equation using the GMRES method with a Laplace, an inexact Laplace, or a two-