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Sökning: WFRF:(Botvich D.)

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1.
  • Walsh, F., et al. (författare)
  • Artificial backbone neuronal network for nano scale sensors
  • 2011
  • Ingår i: 2011 IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2011. Shanghai, 10-15 April 2011. - 9781457702488 ; , s. 449-454
  • Konferensbidrag (refereegranskat)abstract
    • Communication between biological based nano scale devices is a crucial component of future applications in nanotechnology. This paper explores the creation of a backbone communication network for nano scale sensors using neurons. We investigate how neuron cell characteristics affect the performance of neuronal based network and highlight several key characteristics compared to conventional wire based networks. Finally, we investigate four network topologies through simulation.
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2.
  • Troussov, A., et al. (författare)
  • Spreading Activation Methods
  • 2009
  • Ingår i: Dynamic and Advanced Data Mining for Progressing Technological Development. - : IGI Global.
  • Bokkapitel (refereegranskat)abstract
    • Spreading activation (also known as spread of activation) is a method for searching associative networks, neural networks or semantic networks. The method is based on the idea of quickly spreading an associative relevancy measure over the network. The goal is to give an expanded introduction to the method. The authors will demonstrate and describe in sufficient detail that this method can be applied to very diverse problems and applications. They present the method as a general framework. First they will present this method as a very general class of algorithms on large (or very large) so-called multidimensional networks which will serve a mathematical model. Then they will define so-called micro-applications of the method including local search, relationship/association search, polycentric queries, computing of dynamic local ranking, etc. Finally they will present different applications of the method including ontology-based text processing, unsupervised document clustering, collaborative tagging systems, etc.
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  • Resultat 1-2 av 2

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