Neural network (NN) approaches and statistical methods, based on a Bayesian procedure,
are applied and compared in soil moisture (SM) retrieval from remotely sensed data. The …

Infrastructure Asset Management with Power System Applications is about infrastructure
asset management, which can be expressed as the combination of management, financial …

Shifting level models have been suggested in the literature since the late 1970's for
stochastic simulation of streamflow data. Parameter estimation for these models has been …

An inversion technique based on the merging of microwave remotely sensed data is applied
to ground-based radiometer and scatterometer data acquired for the same area. The …

Introduces the concept of dynamic embedding manifold (DEM), which allows the Kohonen
self-organizing map (SOM) to learn dynamic, nonlinear input-output mappings. The …

This paper introduces a first step towards establishing the effect of maintenance on
component reliability. The concept of relative age is introduced and defined as well as a …

This work describes a methodology to estimate autoregressive moving average parameters,
including both coefficients and model orders, by means of Bayesian inference. In order to …

This chapter introduces the use of Bayesian methodology for inversion purposes: the
extraction of bio-geophysical parameters from remotely sensed data. Multisources …

O banco de sementes de plantas daninhas pode vir a ser um sério problema para a
atividade agrícola por manter infestações por longos períodos. A dinâmica da população de …

The seeds bank of weed constitutes a serious problem to the agricultural activity because it
maintains infestations for long periods. The dynamics of weed populations can be described …