Throughout the history, the evolutions of the requirements for manufacturing equipments have depended on the changes in the customers' demands. Among the present trends in th...
We present an application of arti cial neural networks to machine condition monitoring. Since several signal preprocessing methods produce high dimensional feature vectors there i...
The paper introduces and formalizes a distributed approach for the model-based monitoring of the execution of a plan, where concurrent actions are carried on by a team of mobile r...
Linear regression models for de facto exchange rate regime classification are complemented by inferential techniques for evaluating the stability of the regimes. To simultaneously...
Abstract. Interoperability is a key and challenging requirement in today’s and future systems, which are often characterized by an extreme level of heterogeneity. To build an int...