CTTGAN: TRAFFIC DATA SYNTHESIZING SCHEME BASED ON CONDITIONAL GAN

CTTGAN: Traffic Data Synthesizing Scheme Based on Conditional GAN

Most machine learning algorithms only have a good recognition rate on balanced datasets.However, in the field of malicious traffic identification, benign traffic on the network is far greater than wilds of eldraine prerelease guide malicious traffic, and the network traffic dataset is imbalanced, which makes the algorithm have a low identification

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Antifactors of regular bipartite graphs

Let $G=(X,Y;E)$ be a bipartite graph, where $X$ and $Y$ are color classes and $E$ is the set of edges of $G$.Lov'asz and Plummer cite{LoPl86} asked click here whether one can decide in polynomial time that a given bipartite graph $G=(X,Y; E)$ admits a 1-anti-factor, that is subset $F$ of $E$ such that $d_F(v)=1$ for all $vin X$ and $d_F(v) eq 1$ fo

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