In this paper, we address the problem of nonlinear sensor dynamic compensation that will
be performed on board wireless sensor network nodes. To this aim, we design suitable …

In this paper, we face the problem of designing accurate decision-making modules in
measurement systems that need to be implemented on resource-constrained platforms. We …

In this paper, we focus on the design of reduced-complexity sensor compensation modules
based on learning-from-examples techniques. A multiobjective optimization design …

In this work we focus on the design of reduced-complexity sensor compensation modules
based on learning-from-examples techniques. A multi-objective optimization design …

In this work we discuss the application of Support Vector Machines to the problem of
identifying a specific class of nonlinear systems, namely Wiener-Hammerstein systems. Only …

In this paper we investigate experimentally how different sources of uncertainty affect the
classification performance of an SVM based binary classifier. Our aim is to find statistically …

In this work we deal with the application of Support Vector Machines for Regression (SVRs)
to the problem of identifying linear dynamic systems on the basis of a set of Input/Output …