Titlebook: Hardware for Soft Computing and Soft Computing for Hardware; Nadia Nedjah,Luiza de Macedo Mourelle Book 2014 Springer International Publis

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t’s engagement with theatre. The verbal play from . to . is at the hub of the matter: a rejection of theatre that leads to – that is perhaps even the . – a triumphant reclaiming of the theatrical. Mallarmé, theatre critic for the ., is ostensibly giving his reasons for not going to the theatre – he

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Nadia Nedjah,Luiza de Macedo Mourelleth designers, composers and film makers, they plotted to destroy all existing theatres. But from their destruction emerged the most astonishing innovations of modernist theatre.978-0-230-53745-3978-0-230-28908-6Series ISSN 2947-5600 Series E-ISSN 2947-5619

Radiation

Nadia Nedjah,Luiza de Macedo MourelleLionel Abel’s brief essays in .. Abel claimed that a new dramatic ‘form’ had arisen in the English Renaissance and the Spanish Golden Age. ‘[T]ragedy would be replaced by metatheatre’ in the theatres of Shakespeare and Calderon, Abel argued, after whom extended a lineage that stretched to Pirandello

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Genetic Algorithms on Network-on-Chipssor System-on-Chip (MPSoC). Some multimedia and Internet applications for wireless communications are using genetic algorithms and can benefit of the advantages provided by parallel processing on MPSoCs. In order to run such algorithms, we use a Network-on-Chip platform, which provides the intercon

Coronation

cortex

Particle Swarm Optimization on Crossbar Based MPSoC processor, in order to accelerate its execution. One problem in MPSoCs is the communication between processors, necessary to run the application. The shared memory provides the means to exchange data. In order to allow for non-blocking parallelism, we based the interconnection network in the crossb

maintenance

A Reconfigurable Hardware for Artificial Neural Networks consist of a number of interconnected processing units, wherein each unit performs a weighted sum followed by the evaluation of a given activation function. The involved computation has a tremendous impact on the implementation efficiency. Existing hardware implementations of ANNs attempt to speed

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