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Titlebook: High Performance Computing for Computational Science – VECPAR 2018; 13th International C Hermes Senger,Osni Marques,Veronica Gil-Costa Conf

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A New Parallel Benchmark for Performance Evaluation and Energy Consumptionis composed of 11 algorithms implemented in PThreads, OpenMP, MPI-1 and MPI-2 (spawn) PPIs. Previous studies have used some of these applications to perform this type of evaluation in different architectures, since there is no benchmark that offers this variety of PPIs and communication models. In t
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subsystem is for texture recognition. Information about shape and texture of the micro workpiece can be used to improve precision of both assembly and manufacturing processes. The proposed subsystems were tested off-line in two tasks. In the task of 3mm screw shape recognition the recognition rate o
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Rômulo M. Silva,Benaia S. J. Lima,José J. Camata,Renato N. Elias,Alvaro L. G. A. Coutinhoy decomposition. Time-frequency decomposition methods commonly used in sound recognition increase dimensionality of the signal and require steps of feature selection and extraction. Quite often feature selection is based on a set of empirically chosen statistics, making the pattern recognition depen
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Lucas Leandro Nesi,Lucas Mello Schnorr,Philippe Olivier Alexandre Navauxassification has one large defect: it only deals with numerical features without considering the structural information within each image (e.g. attributes of objects, and relations between objects within one image). By including this sort of structural information, it is suggested that image classif
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