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We propose in this paper a deep learning model based on convolutional neural network (CNN) for biopsy image grading. The model outputs a vector of scores indicating presence or severity of the target histopathological characteristics. Within the model, we first design a 7-layer CNN for feature representation and high level concept extraction. Each biopsy image is expressed as a feature vector through...
Many challenging and new issues arise in China's power market process. In this paper the general and specific characteristics of power market research are analyzed and an integrated simulation system (IPMSS) based on experimental economics (EE) and agent-based computational economics (ACE) is designed. Further works include proposing a hybrid experimental method of experimenter and agent, and carrying...
In this paper, we consider an extension to the dual model under a barrier strategy, in which the innovation sizes depend on the innovation time via the FGM copula. We derive a renewal equation for the expected total discounted dividends until ruin. Some differential equations and closed form expressions are given for exponential innovation sizes. Finally, a numerical example is given.
The importance of recycle center to reverse logistics is just like that of distribution to forward logistics. And the location selection of recycle center directly impacts on the performance of the reverse logistics management. A hybrid model combining AHP and DEA methodologies is given here. AHP is used to determine the comprehensive benefit of each alternative location of recycle center. And then...
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