Titlebook: Computational Data and Social Networks; 9th International Co Sriram Chellappan,Kim-Kwang Raymond Choo,NhatHai P Conference proceedings 2020

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Computational Data and Social Networks978-3-030-66046-8Series ISSN 0302-9743 Series E-ISSN 1611-3349

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Diastereoselectivity in Organic Reactions,n process (MDP). Afterwards, we develop Double Deep .-Network (DDQN) algorithm to quickly obtain the optimal flow-rule matching control policy. Through the extensive experiments, the obtained results verify that the proposed approach yields outstanding improvements in terms of the ability to simulta

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Diastereoselectivity in Organic Reactions,orks. Spectral clustering, hierarchical clustering, Markov models, modularity maximization methods, etc have shown promising results in context to application domains under consideration. In this paper, the authors propose a neural network based method to identify the communities in large-scale netw

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https://doi.org/10.1007/978-1-4614-7978-9 of the saved nodes (nodes that would have believed in the fake news in the absence of the truth campaigners). We present these results on a few real-world networks, and the results show that . method outperforms baseline methods.

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Ranjini Ramachander,Nitin Rathorestly, experiments are carried out to demonstrate that our CMC and IRIS both outperform the known baselines including Maximum Coverage and Maximum Out-degree algorithms in the average number of activated groups under IC model.

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Leonore C. Witchey-Lakshmanan Ph.D.red into a convex problem by analyzing objective function. An interior-point method is adopted to solve this problem. Extensive simulations are performed to evaluate the model by optimizing the UAV speed in different regions. The results show that the proposed new scheme outperforms the one with con

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