2

Real time evolvable hardware for optimal reconfiguration of cusp-like pulse shapers
The design of a cusp-like digital pulse shaper for particle energy measurements requires the definition of four parameters whose values …
Cite DOI
Técnicas de aprendizaje computacional aplicadas a la fotovoltaica
En este artículo mostramos los resultados de la aplicación de varios métodos de aprendizaje computacional sobre datos procedentes de …
Cite
Análisis de ciclo de vida de un generador fotovoltaico de 1kWpy dependencia geográfica de su impacto medioambiental
En este artiicuLo mostramos Los resultados de la aplicacion de la metodologiia de Analisis de Ciclo de Vida en una instalacion …
Cite
Boosting the 3D thermal-aware floorplanning problem through a master-worker parallel MOEA
The increasing transistor scale integration poses, among others, the thermal-aware floorplanning problem consisting of how to place the …
Cite DOI
Branch and bound for the cutwidth minimization problem
The cutwidth minimization problem consists of finding a linear arrangement of the vertices of a graph where the maximum number of cuts …
Cite DOI
Game-like language learning in 3-D virtual environments
This paper presents our recent experiences with the design of game-like applications in 3-D virtual environments as well as its impact …
Cite DOI
Heuristics and metaheuristics for the maximum diversity problem
This paper presents extensive computational experiments to compare 10 heuristics and 20 metaheuristics for the maximum diversity …
Cite DOI
Influence of source composition and particle energy on the determination of gross alpha activity
The influence of different source compositions and α-particle energies on the detection efficiency of a gas-flow proportional counter …
Cite DOI
Radar-based road-traffic monitoring in urban environments
This work presents a novel approach to object detection and tracking in urban environments using images obtained from a radar network, …
Cite DOI
Variable formulation search for the cutwidth minimization problem
Many optimization problems are formulated as min–max problems where the objective function consist of minimizing a maximum value. In …
Cite DOI