Titlebook: Computational Data and Social Networks; 7th International Co Xuemin Chen,Arunabha Sen,My T. Thai Conference proceedings 2018 Springer Natur

红肿

Blockchain Queue Theory,g theory of blockchain systems and provide system performance evaluation. To do this, we design a Markovian batch-service queueing system with two different service stages, which are suitable to well express the mining process in the miners pool and the building of a new blockchain. By using the mat

杀死

Optimal Energy Efficiency Data Dissemination Strategy Based on Optimal Stopping Theory in Mobile Neal myopic stopping rule is obtained. Finally, the optimal transmission rate thresholds at each period are solved by optimal stopping theory, and then the optimal energy efficiency data dissemination strategy based on optimal stopping theory is realized. Simulation results show that the strategy prop

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SPER

Graph Convolutional Networks: Algorithms, Applications and Open Challenges,various problems. In this survey, we conduct a comprehensive review specifically on the emerging field of graph convolutional networks, which is one of the most prominent graph deep learning models. We first introduce two taxonomies to group the existing works based on the types of convolutions and

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Optimal Resource Allocation for Brokers in Media Cloud,herefore, in this paper, by assuming that accepting each task a broker can get a reward (by collecting revenues from mobile social users like online ads, etc.) and it needs pay some price (to the media cloud) for each task in the network, we concentrate on the optimization problems of when to admit

Motilin

Methods for Optimal Resource Allocation on Cooperative Task Scheduling in Cross-Organizational Busitabu search (TS) algorithm is utilized to address the objective function solution, which outputs the optimal solutions mapping on resource allocation strategies. Finally, experiments show that the proposed optimization model for resource allocation supporting cooperative task scheduling is more in l

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桉树

https://doi.org/10.1007/978-3-663-05493-1stages. Finally, we evaluate proposed method by simulations on synthetic and real-life social networks. Furthermore, we also compare with other heuristic methods such as Out-Degree, Betweenness Centrality and PageRank. Experimental results show that our method is superior to comparison approaches.

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,Heißluft-Sterilisationen mit ruhender Luft,al myopic stopping rule is obtained. Finally, the optimal transmission rate thresholds at each period are solved by optimal stopping theory, and then the optimal energy efficiency data dissemination strategy based on optimal stopping theory is realized. Simulation results show that the strategy prop