computer simulation is a modeling and verification tool that is used primarily for mathematical, dynamic, arithmetic models. It is particularly suitable for the study of complex multivariable systems, the verification...
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A common problem with feature selection is to establish how many features should be retained at least so that important information is not lost. We describe a method for choosing this number that makes use of Support ...
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This article consists of a collection of slides from the author's conference resentation on TRIPS, a distributed explicit data graph execution (EDGE) microprocessor. Some of the specific topics discussed include: ...
Continuous aperture array (CAPA) is considered a promising technology for 6G networks, offering the potential to fully exploit spatial DoFs and achieve the theoretical limits of channel capacity. This paper investigat...
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Globally traffic scenario has experienced a vast change over the years as volumes of traffic on urban roads have increased by leaps and bounds. This increase has also marked an increase in the number of road accidents...
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Data-parallel programs are both growing in importance and increasing in diversity, resulting in specialized processors targeted at specific classes of these programs. This paper presents a classification scheme for da...
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Selective attention to visual-spatial stimuli causes decrements of power in alpha band and increments in beta. For steady-state visual evoked potentials (SSVEP) selective attention affects electroencephalogram (EEG) r...
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Recent advances in multimedia and image processing techniques can be utilized to assist pathologists in this respect. In fact, many investigators believe that automation of prostate cancer analysis increases the rate ...
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ISBN:
(纸本)2930307056
Recent advances in multimedia and image processing techniques can be utilized to assist pathologists in this respect. In fact, many investigators believe that automation of prostate cancer analysis increases the rate of early detection. In this paper, we will propose an automatic procedure for prostate cancer light micrograph based on soft-computing technique, for image interpretation, with increased accuracy. We propose a feature subset selection algorithm that selects the most important features, used by a pseudo-gaussian radial basis function neural networks to classify the prostate cancer light micrograph. A high classification rate has been achieved which will reduce the subjective human invention and will increase the diagnostic speed.
Estimation of Distribution Algorithms (EDAs) are a set of optimization techniques that have been successfully applied to different kinds of problems. In this paper, we deal with the creation of multivariate calibratio...
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