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A Series-Based Deep Learning Approach to Lung Nodule Image Classification
(MDPI, 2023)
Although many studies have shown that deep learning approaches yield better results than traditional methods based on manual features, CADs methods still have several limitations. These are due to the diversity in imaging ...
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 ...
Empirical investigation on how wellbeing-related infrastructure shapes economic growth: Evidence from the European Union regions
(PMC, 2023)
One of the most important policies of the European Union is regional development, which comprises measures of enhancing economic growth and citizens' living standards via strategic investment. Considering that economic ...
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. ...