Contribution of artificial metaplasticity to pattern recognition

Chapter 8 was wholly devoted to the application of the AdS/QCD technique and, specifically, of the models with symmetry breaking to the case of higher en- ergy strongly coupled

If we start from a basically homogeneous data set that is not rotationally aligned, then the classification will group images according to their relative orientation (examples 1 and

Keywords: Artificial neural networks, neural threshold, neural variability, heterogeneity, homogeneity, olfactory system, pattern recognition, generalist neuron, specialist neuron,

Consequently, in this thesis we have generated two cellular models, a mouse model based on NURR1 overexpression in neural stem cells, and a human model based

As extensively reviewed elsewhere, phenotypic plasticity is being recognized in several tumour types, including breast and lung cancer, involving the acquisition of

Experimental results have demonstrated that artificial neural networks can substantially reduce the number of model parameters and surpass the performance of previous approaches

In this thesis, taking advantage of the intrinsic disymmetry of γγγγ -ZrP and its ability to produce sensitized lanthanide luminescence, we examine the potential of these

The main objective of this PhD thesis is to explore the contribution of the solar- induced chlorophyll fluorescence (SIF) to retrieve nitrogen status and maximum