Evolutionary algorithms are metaheuristic algorithms that provide quasioptimal solutions in a
reasonable time. They have been applied to many optimization problems in a high number …

We present a clustering-based fitting approach for phase-type distributions that is
particularly suited to capture common characteristics of empirical data sets. The distributions …

We present HyperStar, an extensible tool with a graphical user-interface that enables simple
and efficient fitting of phase-type distributions to data sets. The fitting process can be …

Many new research areas such as the Internet-of-Things (IoT) propose the interconnection
of every days objects, changing the way how we interact with the environment and our …

Earthquake early warning systems should provide reliable warnings as quickly as possible
with a minimum number of false and missed alarms. Wireless meshed networks, coupled …

In this paper we provide a hands-on discussion of the use of the HyperStar phase-type fitting
tool in common application scenarios. HyperStar allows fitting Hyper-Erlang distributions to …

This paper presents a novel dissimilarity metric based on local neighboring information and
a genetic programming approach for efficient data dissemination in Vehicular Ad Hoc …

Abstract Vehicular Ad hoc NETworks (VANETs) have attracted much attention in the last
decade. Many routing protocols have been proposed for VANETs and their performance is …

Broadcasting is the main mechanism to spread out information in all-to-all fashion in
wireless multi-hop networks at various layers of the communication stack. It is widely …

Broadcast schemes play an important role in the performance of mobile ad hoc networks,
which are a clear example of ubiquitous wireless multi-hop networks where nodes …