Titlebook: Remote Instrumentation Services on the e-Infrastructure; Applications and Too Franco Davoli,Norbert Meyer,Sandro Zappatore Book 2011 Spring

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P. Kacsuk,Z. Farkas,Z. Balatony trial and error until a good fit to the data is obtained. Parametric learning consists of learning the weight values for a given topology of the network. Since the neural functions are given, this learning process is achieved by estimating the connection weights based on the given information. To

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M. Sutter,T. Jejkal,R. Stotzka,V. Hartmann,M. Hardtlacking in all labelling methods developed for light microscopy alone. Furthermore, a marker substance is required that allows identification of the neuron at low magnification by light microscopy and produces sufficient electron scattering at the fine-structural level for its own unambiguous detect

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The Grid as a Software Application Provider in a Synchrotron Radiation Facility the lab user can access a defined set of pre-configured . applications. that rely on Grid resources. The pilot application has been in the SRF Elettra.. The model and the intermediate subsystems have been developed and suitably configured. In this chapter we propose (1) a “Software as a Service” mo

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Topology Design of a Service Overlay Network for e-Science Applicationsdesign and, more specifically, on the choice of the best option within a limited set of topology layouts that allows to fulfill QoS network requirements (bandwidth, delay). The problem is formulated as the minimization of a cost function which takes into account traffic demand and latency. Apart fro

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Alessio Merlo,Daniele D’Agostino,Vittoria Gianuzzi,Andrea Clematis,Angelo Corana