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Titlebook: Machine Learning for Cyber Security; Third International Xiaofeng Chen,Hongyang Yan,Xiangliang Zhang Conference proceedings 2020 Springer

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SDUW-Net: An Effective Retinal Vessel Segmentation Model,o retain more features that may be lost in the process of down sampling and convolution. Experimental results on the DRIVE dataset show that the retinal vessels can be effectively segmented out by our proposed SDUW-Net, which has AUC of 0.9811 with low computation and short training time.
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Conference proceedings 2020in Xi’an, China in October 2020..The 118 full papers and 40 short papers presented were carefully reviewed and selected from 360 submissions. The papers offer a wide range of the following subjects: Machine learning, security, privacy-preserving, cyber security, Adversarial machine Learning,  Malwar
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A New Mobility Model Based on Markov Chain for MANETs,h area of MANETs. The simulation result shows that, according to choose different probability parameters can effectively simulate different scenarios, and also more stable than the other two models. The results also shows that, different mobility models have great effects on the performance of routing protocol in MANETs.
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Clustering Analysis Method of Ethnic Cultural Resources Based on Deep Neural Network Model,the correlation between the texts of ethnic cultural resources, which is used for the collection, storage and intelligent service of massive ethnic cultural resources provides technical support. At the end of the paper, the ethnic cultural resources in the specific ethnic website are taken as an example to analyze the above methods.
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