This paper introduces a generalized framework, termed “stochastic cloning,” for processing relative state measurements within a Kalman filter estimator. The main motivation a...
Wavelet neural networks (WNN) have recently attracted great interest, because of their advantages over radial basis function networks (RBFN) as they are universal approximators bu...
In the paper a new evolutionary algorithm for induction of univariate regression trees is proposed. In contrast to typical top-down approaches it globally searches for the best tre...
This paper proposes a new approach for modelling, testing and prototyping pervasive, possibly mobile, and distributed applications. It describes a set of tools aimed at supporting...
Designers of safety-critical VLSI systems are asking for effective tools for evaluating and validating their designs. Fault Injection is commonly adopted for this task, and its eff...