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Development of the efficient power aware protocol is the need of today s adhoc networks. Although developing battery efficient systems that have low cost and complexity, remains a crucial issue. In order to facilitate co...

Graph databases are increasingly being used for modeling complex networks using the property graph data model, which annotates nodes and edges in a graph with property-value pairs. However, existing research primarily fo...

Evolving neural arrays (ENA) have proved to be capable of learning complex behaviors, i.e., problems whose solution requires strategy learning. For this reason, they present many applications in various areas such as rob...

Complex control tasks may be solved by dividing them into a more specific and more easily handled subtasks hierarchy. Several authors have demonstrated that the incremental layered evolution paradigm allows obtaining con...

Con el avance de la tecnología y el creciente desarrollo de las comunicaciones móviles, de redes de área local (LAN) inalámbricas con diversas tecnologías como WIFI (Wireless Fidelity), WMAX (Interoperabilidad Mundi...

Artificial Neural Networks belong to the sub-symbolic branch of Artificial Intelligence since they allow to find the solution of a problem without the need of knowing the algorithm necessary to solve it. This turns them ...

Las redes neuronales artificiales (ANN: Artificial Neural Networks) recientemente han tenido un gran impacto en la resolución de algunos problemas debido a que ha sido posible la implementación de algoritmos que requ...

"We investigate the role of connection density in an adaptive network model of chaotic units that dynamically rewire based on their internal states and local coherence. By systematically varying the network's connectivit...

Fil: Stamm, Andreas. Instituto Alemán de Desarrollo; Alemania. En los últimos años, las redes de cooperación entre diferentes actores de los Sistemas Nacionales de Innovación (SNI) y su expresión territorial (clust...