Sollte in diesem Werk direkt oder indirekt auf Gesetze, Vorschriften oder Richtlinien (z. B.
DIN, VDI, VDE) Bezug genommen oder aus ihnen zitiert worden sein, so kann der Verlag …

The study presents the development of an integrated model that optimises the performances
of Neural Nets (NN) and dispersion models developed by the authors. Supervised NN …

Os modelos matemáticos de dispersão de poluentes na atmosfera representam um
instrumento técnico importante, seja para o conhecimento do estado do ambiente, unidos à …

A new model for the dispersion of passive puffs is presented (puff model). The model is
based on the GILTT (Generalized Integral Laplace Transform Technique) approach, a …

It is well known that neural networks can work as universal approximators of non-linear
functions and they have become a useful tool either where any precise phenomenological …

The processes governing the transport and diffusion of pollutants are numerous and of
complexity that it would be impossible to describe them without the use of mathematical …

An air pollution model (Skewed Puff Model, SPM) based on the Monin-Obukhov similarity
theory was applied to investigate the atmospheric radionuclide dispersion at Iperó in Brazil …

A puff model for the dispersion of material from fugitive hazardous emissions is presented.
For vertical diffusion the model is based on general techniques for solving time dependent …

The Advection-Diffusion Equation is solved for a constant pollutant emission from a point-
like source placed inside an unstable Atmospheric Boundary Layer. The solution is obtained …

In the realm of machine learning research and application, binary classification algorithms,
ie algorithms that attempt to induce discriminant functions between two categories of data …