MULTIVARIATE SYNTHETIC STREAMFLOW GENERATION USING A HYBRID MODEL BASED ON ARTIFICIAL NEURAL NETWORKS


A Bayesian Belief Network for Local Air Quality Forecasting

This study is focused on the development of a Bayesian network for air quality assessment and aims at offering a pragmatic and scientifically credible approach to modelling complex systems where substantial uncertainties exist.In particular, the main object is the prediction of the occurrence of suitable conditions for the stagnation of pollutants

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Decorative Composite Layers

Part of the materials used in the chemical industry, metallurgical, machine construction, can be coated, as with time it occurs either a decrease of its properties, or even a process of advanced faulting, Baby toys because of the stresses suffered.The paper presents the structure of some composite coatings with the nickel matrix also pointing out t

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