Researches on retrial queues with non-geometrical retrial times is motivated by real computers and telecommunication networks, where retrial times can hardly be geometrical distributed. The inherent difficulty with ...

Desarrollo de un sistema experto para ayudar a conductores a tomar decisiones en el caso que se encienda alguna luz en el salpicadero.

Food bought at supermarkets in, for instance, North America or the European Union, give comprehensive information about ingredients and allergens. Meanwhile, the menus of restaurants are usually incomplete and cannot be ...

Let us consider the following types of improper integrals: $$ \int_0^\infty f(t)\:{\rm d}t \qquad ; \qquad \int_{-\infty}^0 f(t)\:{\rm d}t \qquad {\rm and} \qquad \int_{-\infty}^\infty f(t)\:{\rm d}t $$ \medskip Let ...

The authors have approached in the past different railway engineering problems (e.g. [1,2]) and have developed software for the Spanish Railway Foundation [3], mainly using computer algebra systems (CAS). Now a CAS is used ...

The main goals of this work are to study and compare machine learning algorithms to predict the development of type 2 diabetes mellitus. Four classification algorithms have been considered, studying and comparing the ...

We consider a discrete-time Geo=G=1=1 system in which a customer that finishes its fi rst essential service may opt to abandon the system, to receive a second optional service or to place at the head of the queue in order ...

There are diferent applications in Engineering that require to compute improper integrals of the first kind (integrals defined on an unbounded domain) such as: the work required to move an object from the surface of the ...

Traffic simulations usually require the search of a path to join two different points. Dijkstra’s algorithm [1] is one of the most commonly used for this task due to its easiness and quickness. In [2, 3] we developed an ...

In the 2017 Spanish Stata Users Group meeting, held in Madrid on October 19th, we introduced some functions for generating random samples from continuous and discrete distributions using STATA 13. In this talk, we will ...