Titlebook: Artificial Intelligence and Security; 6th International Co Xingming Sun,Jinwei Wang,Elisa Bertino Conference proceedings 2020 Springer Natu

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书目名称Artificial Intelligence and Security影响因子(影响力)

书目名称Artificial Intelligence and Security影响因子(影响力)学科排名

书目名称Artificial Intelligence and Security网络公开度

书目名称Artificial Intelligence and Security网络公开度学科排名

书目名称Artificial Intelligence and Security被引频次

书目名称Artificial Intelligence and Security被引频次学科排名

书目名称Artificial Intelligence and Security年度引用

书目名称Artificial Intelligence and Security年度引用学科排名

书目名称Artificial Intelligence and Security读者反馈

书目名称Artificial Intelligence and Security读者反馈学科排名

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Die Elemente der FORTRAN-Sprache,TCWTs). Compared with the discrete wavelet transform, DTCWT provides multiple-directions and multiple-scales decomposition to image and also has the fast calculation capability. In the proposed method Multiple DTCWTs is incorporated to get more texture features; compare to Gabor wavelet, DTCWT has l

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https://doi.org/10.1007/978-3-322-91101-8efore, many learning participants can perform neural network-based deep learning over a combined dataset without revealing the participants’ local data to a central server. However, this privacy-preserving deep learning system is not secure against participant-level attack. We present an effective p

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Erweiterung des Wertebereiches,study. Data collector is such a tool. Compared with the normal data collector, the Topic-focused network data collectors pay more attention to web pages related to pre-set topics. This paper designs and implements a network data collector and in order to improve the search efficiency, this paper use

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https://doi.org/10.1007/978-3-322-93816-9ty of key-points detection will greatly affect the performance of image registration. In this paper, we use the fully convolutional neural network to perform key-points detection and feature extraction on the image, which is applied to the registration. Experiments show that the proposed method achi

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