In this work we present the results of a comparative study between two well-known network simulators: ns-2 and OPNET Modeler. In particular, we focus on a performance evaluation o...
P. Pablo Garrido, Manuel P. Malumbres, Carlos Migu...
In this paper we present a methodology for the evaluation of networked systems communicating using WLAN technology. We show a case study of goal-oriented cooperating robots, for w...
This paper investigates the virtual seminar "Education and Socialization in Early Childhood" at the LudwigMaximilians-University, Munich. In this seminar, we focused on ...
Over the past few years, the notion of stability in data clustering has received growing attention as a cluster validation criterion in a sample-based framework. However, recent w...
Manifold learning is an effective methodology for extracting nonlinear structures from high-dimensional data with many applications in image analysis, computer vision, text data a...