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Titlebook: Advanced Hybrid Information Processing; Second EAI Internati Shuai Liu,Gelan‘Yang Conference proceedings 2019 ICST Institute for Computer S

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Die Organisation des Unternehmens,n images inpainting polluted by impulsive noise. In this paper, we proposed a robust algorithm for image recovery in the background of impulsive noise, called .-ADMM algorithm. The proposed algorithm uses .-norm substitute .-norm residual term of cost function model to gain more image inpainting cap
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Betriebswirtschaftslehre im Grundstudiumid growth. As the main force for building socialism, college students have demonstrated unprecedented passion for innovation and entrepreneurship. In the ‘Internet plus’ background, under the innovation and entrepreneurship service platform for college students, resource scheduling is the key to the
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https://doi.org/10.1007/978-3-642-53730-1accurately and effectively in the events from huge amount of network information. This paper proposes an algorithm for automatic generation of network document summaries based on knowledge graph and TextRank algorithm which can solve the problem of information overload and resource trek effectively.
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Grundzüge der Unternehmensbesteuerungronger. However, how to identify application solutions for counterfeit and shoddy goods is a serious challenge for commodity brand. This paper designs and implements a two-dimensional code packaging advertising and anti-counterfeiting model based blockchain. It is applied to process the commodity in
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Betriebswirtschaftslehre als Wissenschafthms, an improved 3D convolutional neural network method for human action recognition is proposed. The network only uses grayscale images and the number of image frames as input. At the same time, two layers of nonlinear convolutional layers are added to the problem of less convolution and convolutio
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Klaus-Peter Kistner,Marion Stevencommunication by leveraging the techniques of cognitive radio. In the presented system model, we consider the determination of optimal path between two points and propose a channel probing method based on coarse granularity wideband spectrum sensing as well as channel prediction. To cope with the pr
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