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Toplam kayıt 3, listelenen: 1-3
Discrete Geodesic Distribution-Based Graph Kernel for 3D Point Clouds
(MDPI, 2023)
In the structural analysis of discrete geometric data, graph kernels have a great track record of performance. Using graph kernel functions provides two significant advantages. First, a graph kernel is capable of preserving ...
Path-Based Visibility Graph Kernel and Application for the Borsa Istanbul Stock Network
(MDPI, 2023)
Using networks to analyze time series has become increasingly popular in recent years. Univariate and multivariate time series can be mapped to networks in order to examine both local and global behaviors. Visibility ...
Novel Graph Neighborhoods Emerging from Ideals
(MDPI, 2023)
Rough set theory is a mathematical approach that deals with the problems of uncertainty and ambiguity in knowledge. Neighborhood systems are the most effective instruments for researching rough set theory in general. ...